Jobs at Tiger Analytics

Lead Tableau data visualization strategy: design and optimize high-performance dashboards, establish governance and best practices, mentor teams, enable adoption, and partner with data teams for robust models and performance.

Lead enterprise data modernization by designing canonical and semantic data models, data contracts, and real-time streaming architectures (Kafka). Architect AWS and Snowflake-based pipelines, enforce governance and metadata/lineage standards, partner with product and engineering teams, and produce reusable modeling artifacts to enable analytics and AI/ML use cases.

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

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

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.

As a Senior Data Steward Manager, you'll oversee data management and governance, ensure data quality, and work with cross-functional teams to meet data standards.

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.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

The Program Manager will coordinate multiple projects, provide strategic guidance, monitor program progress, and manage large customer engagements in the Pharma domain.

As a Solutions Architect, the role involves leading solution architecture in PLM and supply chain systems, driving integration efficiency, analyzing business processes, and ensuring technical adherence for production releases.

The role involves managing analytics projects, translating business problems for clients, developing analytic solutions, and engaging with senior stakeholders.

The Alteryx Lead Consultant will analyze business requirements, design data flow processes, and support the migration of Alteryx workflows to tools like Snowflake and Power BI while focusing on cost reduction and performance optimization.

Responsible for end-to-end development of Tableau dashboards, collaborating with stakeholders and optimizing dashboard performance while managing the full Tableau stack.

The Production Support Engineer role involves troubleshooting using SQL and related technologies, understanding DWH processes, and providing operational support while working flexibly in shifts.

Lead complex data and analytics programs, manage stakeholders and global teams, design AI/ML solutions, and validate outputs in the Insurance domain.

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.

Lead the design and maintenance of scalable data pipelines on AWS, collaborating with teams to implement complex data workflows and analytics solutions.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

As a Senior AI Engineer, you will design and implement AI solutions, collaborate with teams to define success metrics, and iterate on AI model performance.