Top Data & Analytics Jobs

The Senior Business Analyst will partner with performance marketers to analyze campaign performance, optimize media investment, and derive actionable insights from complex data to inform growth strategies.

Provide data advisory services to client teams, maintaining expertise in healthcare data, managing data partnerships, and supporting data strategy projects.

Develop advanced algorithms, apply statistical techniques, support clients with data analysis, contribute to emerging datasets, mentor junior associates, and advance thought leadership through research.

The Quantitative Methodologist will design statistically rigorous studies, apply advanced analytics, interpret results, ensure quality, and communicate insights to clients.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.

The Sr. IT Business Analyst develops specifications, leads testing and training, optimizes supply chain solutions, and coordinates cross-functional projects.

Design, build, and maintain scalable Spark-based ETL pipelines and computed tables in a central data lake. Integrate structured and unstructured IoT, sensor, and external data for analytics, model training, and dashboards. Collaborate with Data Science, Analytics, and ML teams to ensure reliable, high-quality customer-facing datasets.

Lead pricing programs by analyzing large transactional datasets, designing and measuring pricing tests, partnering with engineering and data science to build automation, and translating insights into scalable pricing processes that improve price perception, margins, and customer trust.

Lead a small second-line team providing independent oversight of enterprise data governance. Assess governance frameworks, data ownership, quality controls, risk identification, and regulatory alignment. Deliver actionable insights to senior management, partner with first-line teams to improve governance maturity, and validate controls and issue management practices across the firm.

Build and maintain dbt pipelines and real-time ingestion using PySpark and AWS Glue. Apply software engineering best practices, review code in Git, and collaborate with data scientists and stakeholders to source, govern, and deliver reliable data for analytics and AI. Translate requirements into Jira stories and support deployment, tooling, and data governance across the enterprise.

Design and operate metadata cataloging, lineage harvesting, governance workflows, and data quality for unstructured data. Configure and maintain Atlan/Anomalo/Unity Catalog, build automated checks and prototypes using Python/SQL/Databricks/Streamlit, collaborate with stakeholders, document standards, and drive governance tool adoption.

Lead and manage an analytics team to design, build, and deploy advanced models, dashboards, and investigations. Translate data insights into actionable recommendations, collaborate cross-functionally on data requirements and governance, mentor junior analysts, and improve analytics capabilities and processes.

Partner with Product, Engineering, and Design to define metrics, build datasets and dashboards, run experiments, perform deep data exploration, and translate insights into prioritized product recommendations to inform the roadmap and measure business health.

Build and maintain production-grade data models and pipelines for the Compliance Data Mart, implement data quality frameworks and monitoring, partner with engineering to resolve data gaps, support regulatory exams and audits, and automate manual workflows into scalable pipelines and self-serve tooling.