Top Data & Analytics Jobs

The Associate Director develops and executes pricing strategies, analyzing market dynamics, leading pricing initiatives, and ensuring compliance in the pharmaceutical industry.

The Business Analyst will analyze business processes, document requirements, test applications, and coordinate with project teams to develop information solutions.

The Senior Solutions Architect will lead the design and optimization of scalable data platforms, focusing on cloud-based environments, big data technologies, and data visualization for federal data analytics initiatives.

Own and automate pricing models, cost calculators, and margin reporting. Perform SKU- and order-level landed-cost and margin analysis, quantify pricing impacts, maintain pricing logic/templates, build SQL/BigQuery pipelines, automate reporting with R/Python and Google Sheets/Excel, and collaborate with cross-functional teams to improve pricing accuracy and recommendations.

Designing and implementing large-scale data systems, architecting Data & Analytics solutions, leading cross-functional teams, and managing full life-cycle data solutions.

Collect, analyze, and interpret complex datasets to create and maintain customer-facing Tableau reports; collaborate with customer services and development teams to scope reports and data models; investigate data accuracy issues and communicate insights to stakeholders.

Design, build, and maintain scalable ETL/ELT data pipelines on Databricks and AWS S3; manage large geospatial and temporal datasets; productionize ML models; implement data validation, testing, and monitoring; optimize storage and processing; document workflows; collaborate cross-functionally.

The role involves reverse engineering and optimizing complex database environments, analyzing database schemas, designing data models for efficiency, and administering enterprise databases.

As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.

Analyze customer data environments using SQL, drive feedback for product improvements, build internal tools, and collaborate with field teams.