Jobs at Tiger Analytics

Consultants at Tiger Analytics design analytics solutions for clients, manage projects, and engage stakeholders to translate business problems into actionable insights.

The Google Workspace Administrator will manage and integrate Google Workspace environments, support M&A efforts, and collaborate on security and identity management processes, while automating tasks through scripting.

The Data Engineer will design, implement and manage data integration, pipelines, and models using tools like Snowflake and Airflow, while optimizing data processing for analytics.

Lead technical initiatives for end-to-end data migrations to an Enterprise Data Platform, providing architectural expertise and oversight to teams while ensuring alignment with client needs.

Lead the design and implementation of Generative AI solutions, optimizing application performance and reliability while guiding engineering teams and best practices.

Lead client-facing analytics engagements in Strategic Revenue Management/Revenue Growth Management for CPG clients. Define business problems, lead advanced-analytics solutions (SQL/Python/R/BI), manage stakeholders, ensure business value, perform deep-dive analyses, and communicate insights and recommendations.

Lead architecture and delivery of enterprise-scale data solutions on Azure with a focus on Microsoft Fabric. Design end-to-end data pipelines, ensure security and governance, translate business needs to technical specifications, and mentor engineering teams.

The Data Engineer will architect and implement advanced analytics capabilities, manage data pipelines, and optimize data processing using AWS cloud and various analytical tools.

The Senior Consultant will leverage data analytics and machine learning to solve business problems, engage with stakeholders, manage projects, and present solutions to senior management.

The role involves managing analytics projects, engaging with clients to translate business problems into analytics solutions, and presenting results to senior management while collaborating with global teams.

Lead end-to-end data science initiatives, build ML models, collaborate with cross-functional teams, and communicate insights to business leaders.

Consultant/Sr Consultant responsible for applying data science solutions to business challenges, managing analytics projects, and engaging with stakeholders.

The Azure Databricks Senior Architect will be responsible for architecture, design, and implementation of data practices on Azure, focusing on end-to-end data management principles and governance.

Lead pricing operations and technology strategy to design scalable, cloud-native, AI-driven pricing solutions. Oversee architecture, data science model development, Agentic AI adoption, SDLC, integrations, and stakeholder alignment to operationalize pricing strategy and drive margin optimization.

The Technology Partner will lead technology solutions and data transformation initiatives for Fortune 100 clients, providing thought leadership and managing executive relationships.

The Strategy Consultant will lead bi-weekly reviews on allocation performance, conduct root-cause analyses, identify issues, and provide strategic recommendations for retail clients in the fashion industry.

The role involves managing large-scale data analytics projects, designing data solutions, and collaborating with executives to implement digital and cloud solutions.

As a Talent Acquisition Specialist, you'll manage the recruitment lifecycle, develop recruitment strategies, and mentor a recruitment team while ensuring a positive candidate experience.

The MLOps Engineer will build, deploy, and monitor machine learning models using AWS services and develop data quality solutions, collaborating with teams.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.