Top Data & Analytics Jobs

Lead the enterprise data governance program: facilitate Data Governance Council, implement DAMA-aligned frameworks, define policies and stewardship models, enable metadata and lineage practices across Databricks/Kafka/cloud platforms, ensure regulatory alignment, and drive adoption through training and continuous improvement.

As a Senior Data Analyst, you will analyze game telemetry data, translate business needs into insights, and guide technical teams. You will also lead exploratory data analysis and maintain data quality practices.

Mid-level analyst who performs data analysis, builds and maintains dashboards and reports, gathers requirements, conducts ad-hoc and marketing/sales analyses, collaborates with stakeholders, and presents clear data-driven recommendations. Proficient in SQL and Tableau with a focus on improving technical skills and analytical outputs.

As a Senior Data Engineer, you'll transform raw data into datasets, design production pipelines, integrate customer data, and collaborate with various teams to ensure data quality and reliability.

The role involves accurate data entry, verifying data accuracy, maintaining data integrity, and managing workflows while identifying discrepancies.

The Associate Director leads biostatistics efforts in clinical trials, manages team members, authors statistical plans, and collaborates cross-functionally while ensuring quality and compliance with regulatory standards.

Support to evaluate and implement scalable data infrastructure. Work with technical teams to optimize data delivery and build reliable data systems. Expertise in data modeling, integration patterns, and data quality assurance is essential.

The role involves implementing data governance standards, conducting audits, improving data processes, and collaborating with cross-functional teams to ensure compliance and data integrity in the biopharma industry.

Lead Client Solutions, Analytics by developing measurement plans, managing outputs, and collaborating on campaign execution across channels while mentoring the Business Intelligence team.

As a Quantitative Researcher, you will develop sports pricing capabilities by designing data pipelines, calibrating pricing models, and deploying models into trading strategies.