Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a talented ReactAI Build Engineer to join our engineering team. As a ReactAI Build Engineer, you will be responsible for designing, building, and optimizing high-performance, scalable applications that leverage the latest advancements in AI technology. You will work closely with AI researchers, software engineers, and product teams to build seamless, intelligent user experiences within our web and mobile platforms.

Responsibilities

• AI Integration: Design, develop, and maintain user-facing AI-driven applications, primarily using React and React Native.
• Application Development: Build reusable, maintainable code and libraries for future use, ensuring high code quality and adherence to best practices.
• Optimization: Analyze and improve application performance, focusing on load times, smooth interactions, and real-time AI response integration.
• Build and Deployment: Develop and maintain automated build and deployment pipelines, ensuring efficient continuous integration and delivery.
• Collaboration: Work cross-functionally with product managers, UX/UI designers, AI researchers, and backend developers to refine and implement features.
• Troubleshooting: Identify, troubleshoot, and resolve issues in both development and production environments.
• Documentation: Write comprehensive technical documentation to support the development, deployment, and maintenance of AI-driven applications.

• Degree in Computer Science, Engineering, or related field
• Experience with machine learning, deep learning, NLP, and computer vision
• Strong experience in JavaScript (ES6+), TypeScript, HTML5, and CSS3.
• Familiarity with build tools and CI/CD practices, such as Jenkins, GitLab CI, or CircleCI.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives.

• Bachelor’s degree in Computer Science or similar field
• 8+ years of experience in a Data Engineer role
• Experience with relational SQL and NoSQL databases like MySQL, Postgres
• Strong analytical skills and advanced SQL knowledge
• Development of ETL pipelines using Python & SQL
• Having a good experience with Customer Data Platforms (CDP)
• Experience in SQL optimization and performance tuning
• Experience with data modeling and building high-volume ETL pipelines.
• Working experience with any cloud platform
• Experience with Google Tag Manager and Power BI is a plus
• Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
• Experience extracting/querying/joining large data sets at scale
• A desire to work in a collaborative, intellectually curious environment
• Strong communication and organizational skills

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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Tiger Analytics is an advanced analytics consulting firm recognized as a trusted partner for Fortune 100 companies, empowering them to unlock the power of their data. Our team of experts excels in Data Science, Machine Learning, and AI, driving substantial business value. We are continuously acknowledged by leading market research firms such as Forrester and Gartner for our leadership and innovation in the analytics space.

The role of Business Analyst - Credit/Consumer Lending Operations involves working closely with stakeholders in the credit and lending sectors to evaluate processes, identify inefficiencies, and devise solutions that enhance operations. You will play a critical role in analyzing operational data and supporting the implementation of initiatives that drive operational excellence within the consumer lending domain.

Key Responsibilities:

• Collaborate with internal teams and stakeholders to gather and define requirements for credit and consumer lending operations.
• Conduct detailed analysis of operational processes to identify areas for improvement and efficiency gains.
• Translate business needs into functional requirements and documentation, ensuring alignment with technical teams.
• Develop reporting metrics and dashboards to track operational performance.
• Support project management activities to ensure successful implementations of initiatives.
• Engage in user acceptance testing and facilitate training sessions for end-users.

• 4-5 years of experience in a Business Analyst role within the credit or consumer lending operations space.
• Strong understanding of consumer lending products and processes.
• Proficient in data analysis, reporting tools, and SQL.
• Excellent verbal and written communication skills, with the ability to interact with stakeholders across various levels.
• Experience working with cross-functional teams and managing project timelines.
• Bachelor's degree in Finance, Business Administration, or a related field.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.

We are looking for someone with a good blend of business consulting skills and data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

• Lead and manage analytics projects aimed at solving business problems within the banking domain.
• Engage with clients to define and translate business objectives into actionable analytics solutions.
• Expertise in advanced statistical modeling techniques and machine learning applications to drive decision-making processes.
• Work collaboratively with cross-functional teams to design and implement data-driven strategies for risk management, customer segmentation, and operational efficiency.
• Utilize analytical tools like R, Python, SQL, and visualization platforms such as Power BI or Tableau to convey insights.
• Be proficient in leveraging banking datasets, customer data, and transaction history for analytical modeling.
• Develop compelling presentations for stakeholders, demonstrating the impact of analytics on business outcomes.
• Mentor and guide junior team members, fostering a culture of knowledge sharing and analytics excellence.
• Stay abreast of industry trends and best practices in analytics and banking.
• Collaborate with IT and Data Engineering teams to ensure optimal data sourcing and integration.

• 5 - 12 years of professional experience with a minimum of 4 years in analytics roles, preferably in banking or finance.

• Demonstrated ability to present complex analytical findings to senior management and executive stakeholders.

• Strong understanding of financial products, risk assessment, and banking regulations.

• Proficient in statistical analysis and machine learning algorithms.

• Expertise in SQL and programming languages such as R and Python.

• Experience with data visualization tools such as Power BI, Tableau, or similar.

• Strong communication and interpersonal skills, capable of working with diverse teams.

• MBA in Finance, Analytics, or equivalent work experience.

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Tiger Analytics, a leading management consulting firm, is seeking a talented DevOps Lead to join our team. As a DevOps Lead, you will design, develop, and maintain AWS cloud infrastructure and ensure business continuity and scalability in a highly dynamic environment. You will leverage your experience in cloud architecture, DevOps tools, and best practices to lead our team in creating and delivering innovative and custom solutions for our clients.

Responsibilities

• Evaluate, design, and implement AWS cloud solutions, ensuring high scalability, availability, and security.
• Lead and coordinate DevOps activities, including continuous integration/continuous deployment (CI/CD) pipelines, infrastructure as code (IaC), and configuration management.
• Collaborate with internal teams to identify and understand infrastructure requirements, and recommend innovative and cost-effective solutions.
• Develop automation scripts and tools to streamline cloud deployments and management tasks.
• Ensure adherence to cloud architecture and design principles, security policies, and regulatory requirements.
• Monitor cloud infrastructure performance, identify and remediate issues, and recommend preventive actions.
• Provide technical guidance, mentorship, and training to team members to enhance their AWS and DevOps skills.

• Experience with AWS DevOps for building and deploying applications.

• In-depth knowledge of IaC technologies and tools, such as CFT or Terraform,CI CD, AWS Code pipeline and Github action.
• Experience in AWS Cloud Engineering experience (AWS S3, IAM, EC2, Lambda, ECS, Docker).

• Strong scripting and automation skills, using languages like Python.

• Experience with Data Engineering background and experience. - Data Pipeline, ETL, SQL.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem.

Responsibilities

• Manage large-scale data analytics client engagements in a global delivery model
• Work with clients’ Technology and Program teams to craft the engagement planning and execution roadmap
• Work with business executives to understand business requirements and constraints for the success of the program.
• Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value.
• Responsible for presentations to senior management and client executives, communicating results to client stakeholders, and developing plans to help operationalize the solutions.
• Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern
• Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions
• Steer discussions in strategizing and implementing digital and cloud solutions.
• Collaborating with business / IT stakeholders and product managers to ideate software

• 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
• Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies
• Strong proficiency with Databricks and big data technologies.
• Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines
• Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake
• Deep understanding of Life Sciences to deliver domain-specific solutions that address industry challenges.
• Collaborate with cross-functional teams to oversee the full lifecycle of product development, from concept to deployment.
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools
• An in-depth experienceof Cloud solutions and experience in integrating into traditional hosting/delivery models

• Strong project management and team management skills and ability to work with global teams
• Understanding the application of project mgmt. and agile methodologies
• Ability to work in a large matrixed organization and steer the path to success
• Excellent communication, presentation, and interpersonal skills.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Tiger Analytics team is looking for a highly skilled and experienced Senior Tableau Consultant with over 8 years of hands-on experience in designing and developing intuitive business reports. The ideal candidate will possess a strong sense of data representation and user experience, ensuring that our business intelligence solutions are both insightful and user-friendly. You will work closely with the IT and Business Teams to provide support and identify opportunities for system and process improvements.

Job Duties:

• Analyze business requirements and work with business stakeholders
• Communicate data architecture to development teams
• Design and Development: Create, design, and develop advanced Tableau reports, dashboards, and visualizations that meet business requirements and enhance decision-making processes.
• Data Analysis: Conduct detailed data analysis to understand business requirements and translate them into effective Tableau visualizations.
• User Experience: Focus on improving user experience by designing intuitive, easy-to-navigate dashboards and reports that effectively communicate key insights.
• Collaboration: Work closely with business stakeholders, data analysts, and other team members to gather requirements and deliver high-quality BI solutions.
• Performance Optimization: Optimize Tableau workbooks and SQL queries for performance and efficiency.

• Bachelor's or Master's degree in Computer Science, Analytics, or a related field, or equivalent skills and experience
• 8-10 years of experience in developing, maintaining, and managing Tableau dashboards and analytics, with knowledge of Tableau administration/architecture
• Strong understanding of SQL and relational database design and implementation
• Technical Expertise: In-depth knowledge of Tableau's capabilities, techniques, and standards for creating dashboards and reports
• CPG or Retail experience preferred
• Experience working on large datasets, Experience with Databricks and Snowflake
• Experience going beyond number-crunching, reports, and dashboard creation -- ability to understand the business impact of the data and make recommendations based on your findings
• Experience with tools and concepts related to data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
• Consulting experience highly preferred

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are seeking someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.

We're looking for a Financial Planning & Analysis (FP&A) expert who will be in charge of all business forecasting. They provide analysis in decision-making in all matters operational, financial, and strategic. A strong candidate combines a strong analytical mindset with technical ability and excellent people skills.

Responsibilities

• Provide FP&A finance support to the accounting teams related to productivity, demand planning, reporting, and metrics in a timely manner.
• Identify and understand business challenges; propose and create solutions.
• Partner directly with the finance team and central FP&A groups to collaborate on metrics, goals, and business reviews.
• Dive deeply into financial data and become a subject matter expert to provide additional insights.
• Work on corporate projects and initiatives that impact the entire organization.
• Create presentations that provide insightful analysis, identify required action items, and effectively frame decisions to be made.
• Identify and research variances to forecast, budget, and prior-year expenses, proactively identifying opportunities for improvement.
• Develop and maintain effective relationships with business partners and cross-functional teams at all levels of the organization.

• Bachelor’s degree and more than 8 years of experience in finance or accounting or a related area
• General knowledge of accounting/financial/operational principles
• Someone who understands opex,capex, net/gross profit, EBITDA, operating lines etc
• Experience developing financial reports and metrics
• Interpersonal and communication skills with the ability to interact with various management levels
• Ability to manage multiple tasks and adapt to a changing, fast-paced environment
• Superior attention to detail and ability to successfully manage multiple competing priorities while maintaining a view of the big picture
• Demonstrated ability to influence others through effective verbal and written communication
• Demonstrated ability to drive projects across an organization

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have strong experience with AWS services, Databricks, and Snowflake.

Key Responsibilities:

• Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
• Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements.
• Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.
• Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.

• 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
• Hands-on experience in designing and building data pipelines
• Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
• Strong experience with Databricks, Pyspark for data processing and analytics.
• Solid understanding of data modeling, database design principles, and SQL and Spark SQL.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
• Strong problem-solving skills and attention to detail.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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Tiger Analytics is looking for experienced Telematics Experts to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

• Evaluate the incoming telematics data sets for availability of attributes required for trip calculations, identifying potential gaps or inconsistencies.
• Provide guidance to the team on interpreting telematics datasets and correlations between various telematics attributes, to identify data dependencies and relationships.
• Collaborate with data engineers to develop efficient data cleaning and quality rules, ensuring data quality and consistency.
• Assist in creating data models to identify and communicate telematics data insights
• Skills required:
• Deep understanding of telematics data, including its structure, attributes, and relationships
• Excellent communication and consulting skills
• (Preferred) Understanding of data engineering principles and practices, preferably with tools like Databricks.
• (Preferred) Proficiency in programming languages such as Python, SQL, or Scala.
• (Preferred) Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

• Product Owner for Analytics Products including but not limited to Product Management - Technology evaluation & business case preparation/pitch budgeting, Product Strategy and Roadmap, GTM, Data platforms, Data Science Solutions, and Leadership reporting
• Consulting, Commercial Excellence & strategy, Sales Force Effectiveness
• Digital Transformation initiatives across the organization
• Digital/Omni-channel customer Analytics enterprise-level scalable solutions
• Identify & influence business/marketing objectives with scalable, innovative digital solutions across multiple brands/therapies.
• Collaborate with business stakeholders to identify data-driven opportunities for improvement and innovation.
• Identify opportunities for automation and process optimization using data-driven approaches.
• Obtain, refine & analyze brand & market data from solution providers like IQVIA, Komodo, etc. support business teams in data-driven decision-making. Demonstrate a deep understanding of the competitive environment, customer market trends, and consumer insights.
• Design and implement end-to-end analytics solutions to support commercial business objectives, including data curation, data analysis and manipulation, database modeling, visualization, and deployment

• 16-20 years of professional work experience with at least 10 years in data analytics
• Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approach
• Deep hands-on expertise in Data Architecture, Data Modeling, and Datawarehouse Fundamentals.
• Extensive hands-on experience in SQL, data manipulation, Business Intelligence tooling, and ETL pipeline development.
• Solid understanding of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
• Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus
• Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
• Graduate in Business Analytics or MBA or equivalent work experience

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Tiger Analytics team is looking for a BI Technical Product Owner to deliver innovation and tools to global business teams. This is a cross functional role that requires strong interpersonal skills and the ability to liaison with technical teams and interact with internal clients.

Job Duties:

• Develop and manage LookML models, dashboards, and visualizations in Looker to deliver insightful analytics to stakeholders.
• Collaborate with business users to gather requirements and translate them into technical specifications for reporting and data solutions.
• Enhance existing reports and dashboards, focusing on performance optimization and user experience improvements.
• Perform data analysis to uncover trends, patterns, and opportunities that can drive business improvements.
• Work closely with data engineers to ensure data integrity and availability for reporting purposes.
• Troubleshoot and resolve issues related to Looker dashboards and data sources as they arise.
• Create documentation for reports, dashboards, and best practices to guide end-users in using Looker efficiently.
• Stay current on Looker updates and related technologies, leveraging new features to enhance reporting capabilities.

• Bachelor’s degree in Computer Science or related field.
• 8-10 years of experience in a Looker studio or related role delivering BI/Reporting projects in an enterprise or consulting role
• Strong ability to analyze complex datasets and extract actionable insights.
• Expertise in Looker development, including LookML and dashboard creation.
• Strong proficiency in SQL for querying and manipulating databases.
• Familiarity with cloud platforms, such as Google Cloud Platform (GCP) or Azure.
• Experience with data modeling techniques.
• Knowledge of additional BI tools like Tableau or Power BI is a plus.
• Excellent problem-solving skills for troubleshooting data-related issues.
• Excellent communication skills

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team.

• Hands on experience with credit risk/strategies
•  Develops, manages, and maintains reporting and oversight of consumer credit risk appetite, tolerance, and thresholds. This includes the awareness of consumer credit strategies and the implications of changes in strategy to the profitability of the enterprise.
• Evaluates credit loss assumptions for benign and stress case scenarios used for strategy development.
• Gathers and analyzes macro-economic data, competitive benchmarking data and determines impacts to ongoing portfolio performance and recommend credit strategy changes as appropriate.
• Uses statistical techniques such as decision trees, regression and other advanced predictive modeling, A/B testing to optimize credit risk.
• Develops, implements, and maintains processes for targeted review of credit strategies across all consumer lending products, including performing a risk assessment on the overall portfolio. Collaborates with credit strategy teams to mitigate any identified credit risk concerns. Reports finding through the appropriate, established governance processes.
• Develops and maintains credit-risk oversight processes, policies, and procedures in accordance with the overall Corporate Risk Management framework and system.
• Interacts with business partners, senior management, governance committees, and regulators to present (both orally and written) analytic findings and portfolio-risk ranking processes in a clear, complete, and concise manner.
• Implements and maintains independent credit risk portfolio reporting across all consumer lending products.
• 8+ years of experience in Statistics, Economics, Engineering, quantitative field, equivalent internship, or research experience.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. Now hiring for multiple opportunities in Technology Consulting and Solution Delivery.

Responsibilities

• Manage large-scale data analytics client engagements in a global delivery model
• Work with clients’ Technology and Program teams to craft the engagement planning and execution roadmap
• Work with business executives to understand business requirements and constraints for the success of the program.
• Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value.
• Responsible for presentations to senior management and client executives, communicating results to client stakeholders, and developing plans to help operationalize the solutions.
• Ideating problem solutions leveraging modern trends in data and analytics solutions and related patterns
• Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions
• Steer discussions in strategizing and implementing digital and cloud solutions.
• Collaborating with business / IT stakeholders and product managers to ideate software

• >15 years of professional work experience with greater than 10 years in the technology consulting space focusing on data and analytics
• Prior experience in engaging with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approach
• Experienced in large-scale data migration, cloud migration, and enterprise-scale implementation projects
• Experience in working with leading data and analytics technologies and platforms
• Solid understanding of cloud data platforms - Azure/ AWS/ GCP
• Strong experience in managing senior client stakeholders and engagement relationship
• Excellence in delivery methodologies and sensitivities for time to market
• Reflects solid understanding of engagement and program metrics tracking and estimation methodologies
• Strong project management and team management skills and ability to work with global teams
• Understanding the application of project mgmt. and agile methodologies
• Ability to work in a large matrixed organization and steer the path to success
• Excellent communication, presentation, and interpersonal skills.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. Now hiring for multiple opportunities in Technology Consulting and Solution Delivery.

Responsibilities

• Manage large-scale data analytics client engagements in a global delivery model
• Work with clients’ Technology and Program teams to craft the engagement planning and execution roadmap
• Work with business executives to understand business requirements and constraints for the success of the program.
• Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value.
• Responsible for presentations to senior management and client executives, communicating results to client stakeholders, and developing plans to help operationalize the solutions.
• Ideating problem solutions leveraging modern trends in data and analytics solutions and related patterns
• Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions
• Steer discussions in strategizing and implementing digital and cloud solutions.
• Collaborating with business / IT stakeholders and product managers to ideate software

• >15 years of professional work experience with greater than 10 years in the technology consulting space focusing on data and analytics
• Prior experience in engaging with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approach
• Experienced in large-scale data migration, cloud migration, and enterprise-scale implementation projects
• Experience in working with leading data and analytics technologies and platforms
• Solid understanding of cloud data platforms - Azure/ AWS/ GCP
• Strong experience in managing senior client stakeholders and engagement relationship
• Excellence in delivery methodologies and sensitivities for time to market
• Reflects solid understanding of engagement and program metrics tracking and estimation methodologies
• Strong project management and team management skills and ability to work with global teams
• Understanding the application of project mgmt. and agile methodologies Ability to work in a large matrixed organization and steer the path to success
• Excellent communication, presentation, and interpersonal skills.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking an experienced Data Science Manager to lead our Pricing and Promotion Optimization team. In this role, you will drive the development and execution of product strategies that enhance pricing and promotion initiatives. The ideal candidate will have a strong background in product management with a focus on analytics-driven decision-making, as well as proven experience in roadmap planning and cross-functional team leadership.

Key Responsibilities:

• Work on the latest applications of data science to solve business problems in the optimization space for a CPG client
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
• Product Roadmap Development: Create, manage, and communicate a clear roadmap and strategic vision for the pricing and promotion optimization product, aligned with business goals and market trends. Key activities include developing, maintaining, enhancing and scaling the product to various Markets.
• Quarterly Planning: Design and implement quarterly plans, ensuring alignment with product goals, KPIs, and timelines.
• Team Leadership: Lead and mentor a cross-functional team of 5-6 members, fostering a collaborative and high-performance environment.
• Pricing & Promotion Strategy: Define and implement an optimization framework to optimize pricing and promotional Strategies.
• Stakeholder Collaboration: Work closely with internal teams, including Marketing, Sales, Engineering, and Analytics, to gather requirements and translate them into actionable plans.
• Market and Competitive Analysis:Conduct ongoing analysis of market trends and competitor strategies to identify opportunities and gaps.
• Performance Monitoring: Track and analyze key metrics to ensure product success, and identify areas for improvement to drive product growth.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.

• 8+ years of Data Science experience, and 5+ years of experience in product management, with a focus on pricing, promotions, or optimization.
• Graduate Degree in Data Science, Computer Science, or a related field is required
• Proven experience managing a team and leading product initiatives.
• Skilled in creating product roadmaps, setting priorities, and executing strategic plans.
• Proven experience managing a team and leading product initiatives.
• Analytical Mindset: Strong data analysis skills, with experience in pricing strategies and optimization.
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
• Experience in Azure environments and Databricks is a plus
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
• Be proactive, curious, can-do attitude, flexible personality

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking an experienced Data Science Manager to lead our Pricing and Promotion Optimization team. In this role, you will drive the development and execution of product strategies that enhance pricing and promotion initiatives. The ideal candidate will have a strong background in product management with a focus on analytics-driven decision-making, as well as proven experience in roadmap planning and cross-functional team leadership.

Key Responsibilities:

• Work on the latest applications of data science to solve business problems in the optimization space for a CPG client
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
• Product Roadmap Development: Create, manage, and communicate a clear roadmap and strategic vision for the pricing and promotion optimization product, aligned with business goals and market trends. Key activities include developing, maintaining, enhancing and scaling the product to various Markets.
• Quarterly Planning: Design and implement quarterly plans, ensuring alignment with product goals, KPIs, and timelines.
• Team Leadership: Lead and mentor a cross-functional team of 5-6 members, fostering a collaborative and high-performance environment.
• Pricing & Promotion Strategy: Define and implement an optimization framework to optimize pricing and promotional Strategies.
• Stakeholder Collaboration: Work closely with internal teams, including Marketing, Sales, Engineering, and Analytics, to gather requirements and translate them into actionable plans.
• Market and Competitive Analysis:Conduct ongoing analysis of market trends and competitor strategies to identify opportunities and gaps.
• Performance Monitoring: Track and analyze key metrics to ensure product success, and identify areas for improvement to drive product growth.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

• 8+ years of Data Science experience, and 5+ years of experience in product management, with a focus on pricing, promotions, or optimization.
• Graduate Degree in Data Science, Computer Science, or a related field is required
• Proven experience managing a team and leading product initiatives.
• Skilled in creating product roadmaps, setting priorities, and executing strategic plans.
• Proven experience managing a team and leading product initiatives.
• Analytical Mindset: Strong data analysis skills, with experience in pricing strategies and optimization.
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
• Experience in Azure environments and Databricks is a plus
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
• Be proactive, curious, can-do attitude, flexible personality

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

See more jobs at Tiger Analytics

Apply for this job

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking an experienced Senior Data Scientist with a strong background in the Retail CPG and Agro-industry. You will work closely with cross-functional teams to analyze, model, and drive data-driven insights that enhance decision-making and create strategic advantages.

Key Responsibilities:

• Work on the latest applications of data science to solve business problems in the Retail and CPG space.
• Design and implement advanced predictive models to analyze trends and behaviors in the Retail CPG and Agro sectors.
• Collaborate with stakeholders across data engineering, product, and business teams to understand objectives and provide data-driven solutions.
• Develop data models and pipelines to support analytical and machine-learning initiatives.
• Leverage domain knowledge in Retail CPG and Agro to produce insights and identify growth opportunities.
• Prepare and present insights, recommendations, and data findings to technical and non-technical audiences.
• Maintain best practices in data science and machine learning, ensuring accuracy, quality, and compliance.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

• 6-8+ years of hands-on experience in data science, with a focus on the Retail CPG and Agro- industry.
• Proficient in Python (pipeline creation, pytest, data manipulation with Pandas, etc.), R, SQL. Strong understanding of machine learning, predictive analytics, and statistical modeling.
• Domain Knowledge: In-depth knowledge of the Retail CPG industry, especially in Agro. Familiarity with industry-specific datasets, trends, and KPIs.
• Excellent communication skills with the ability to present data insights to a variety of audiences.
• Familiarity with cloud-based data platforms (AWS, Azure, Google Cloud)
• CI/CD Practices: Experience with continuous integration and deployment practices is a plus. Experience with model deployment and monitoring is a plus
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
• Be proactive, curious, can-do attitude, flexible personality

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

See more jobs at Tiger Analytics

Apply for this job

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking an experienced Lead Data Scientist with a strong background in the Retail CPG and Manufacturing industry. You will work closely with cross-functional teams to analyze, model, and drive data-driven insights that enhance decision-making and create strategic advantages.

Key Responsibilities:

• Work on the latest applications of data science to solve business problems in the Retail, CPG and Manufacturing space.
• Design and implement advanced predictive models to analyze trends and behaviors in the Retail CPG and Manufacturing sectors.
• Collaborate with stakeholders across data engineering, product, and business teams to understand objectives and provide data-driven solutions.
• Develop data models and pipelines to support analytical and machine-learning initiatives.
• Leverage domain knowledge in Retail CPG and Manufacturing to produce insights and identify growth opportunities.
• Prepare and present insights, recommendations, and data findings to technical and non-technical audiences.
• Maintain best practices in data science and machine learning, ensuring accuracy, quality, and compliance.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

• 9-10 + years of strong hands-on work experience Manufacturing Experience.
• Should be able to lead domain conversations on a solution consulting angle.
• Should be proficient in Spanish Language.
• Proficient in Python (pipeline creation, pytest, data manipulation with Pandas, etc.), R, SQL. Strong understanding of machine learning, predictive analytics, and statistical modeling.
• Know typical data sets available and make recommendations by performing EDA upfront and suggest strategies around overall Data Wrangling and cleanup
• Domain Knowledge: In-depth knowledge of the Retail CPG industry, especially Smart Manufacturing Experience. Familiarity with industry-specific Data Systems - Manufacturing Control Tower, Manufacturing Systems around Global Shop Floor Tools, MES, historian, SAP etc
• Excellent communication skills with the ability to present data insights to a variety of audiences.
• Familiarity with cloud-based data platforms (AWS, Azure, Google Cloud)
• CI/CD Practices: Experience with continuous integration and deployment practices is a plus. Experience with model deployment and monitoring is a plus
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
• Be proactive, curious, can-do attitude, flexible personality

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

See more jobs at Tiger Analytics

Apply for this job

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking an experienced Lead Data Scientist to lead our Manufacturing team. The ideal candidate will have a quick learner, and has strong coding capabilities to add to our team.

Key Responsibilities:

• Work on the latest applications of data science to solve business problems in the Manufacturing team of the Retail and CPG space.
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
• Team Leadership: Lead and mentor a cross-functional team of 5-6 members, fostering a collaborative and high-performance environment.
• Stakeholder Collaboration: Work closely with internal teams, including Marketing, Sales, Engineering, and Analytics, to gather requirements and translate them into actionable plans.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

• 10 + years of strong hands-on work experience - Smart Manufacturing Experience
• Should be able to lead domain conversations on a solution consulting angle 
• Should be fluent with Spanish Language.
• Know typical data sets available and make recommendations by performing EDA upfront and suggesting strategies around overall Data Wrangling and cleanup 
• Familiar with Manufacturing KPIs, Monitoring & Optimization
• Understands Data Systems - Manufacturing Control Tower, Manufacturing Systems around Global Shop Floor Tools, MES, historian, SAP etc. - E2E operations visibility, collaboration/ communication, reporting/dashboarding. advanced analytics
• Skilled in creating product roadmaps, setting priorities, and executing strategic plans.
• Proven experience managing a team and leading product initiatives.
• Analytical Mindset: Strong data analysis skills, with experience in pricing strategies and optimization.
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
• Experience in Azure environments and Databricks is a plus
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
• Be proactive, curious, can-do attitude, flexible personality

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

See more jobs at Tiger Analytics

Apply for this job