The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

The Business Analyst will analyze capital markets processes, support data quality and controls, gather requirements, and manage stakeholder communication.

The Azure Architect will design and migrate enterprise technology products to Azure, guiding development teams through all stages while ensuring compliance and security.

The Power BI Architect will lead BI platform design and governance, ensuring scalable solutions and guiding BI Engineers, while collaborating with Azure teams.

The Senior Data Scientist will optimize replenishment strategies and resource allocation in supply chains using advanced data science techniques and collaborate with cross-functional teams to provide data-driven solutions.

As a Senior Data Scientist at Tiger Analytics, you will design and develop advanced analytics solutions using machine learning, collaborating with cross-functional teams to ensure business value.

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 deployment of AI solutions focusing on Data Engineering, Generative AI, and Agentic AI while collaborating with clients and guiding junior engineers.

Lead architectural design and delivery of advanced data solutions, focusing on Generative and Agentic AI, ensuring client satisfaction and team efficiency.

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

The Senior Data Scientist will design graph-based models for supply chain optimization, develop data pipelines using PySpark, and collaborate with teams to deliver analytical solutions.

The role involves developing scalable machine learning systems, managing data pipelines, collaborating with teams, and troubleshooting production issues.

The role involves analyzing data security, designing Databricks components for access control, and collaborating on architecture documentation.

Responsible for designing, building, and maintaining data pipelines and infrastructure, collaborating with data scientists and stakeholders to support data-driven decisions.

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 Senior Data Scientist will develop advanced analytical models for supply chain optimization using Python, PySpark, and graph theory, collaborating with various teams to deliver insights and solutions.

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.

Lead the data engineering team, implementing data architecture patterns, guiding junior members, and managing complex projects in Azure.