Top Data & Analytics Jobs

Lead digital marketing measurement and data science, analyze digital data, develop statistical models, and collaborate with marketing teams for optimization and insights.

The Media Analytics Associate manages client accounts, delivers actionable insights, and supports sales through data analysis and presentations, focusing on media effectiveness.

As an Applied Scientist (ML), you will develop ML solutions, analyze existing systems, and create impactful ML prototypes and evaluation datasets.

The Senior Analyst in Risk Management will support data governance by ensuring data accuracy and consistency and aiding investment committee processes. Responsibilities include coordinating timelines, analyzing data, and maintaining governance artifacts.

Build, maintain, and improve Power BI reports, paginated reports, and semantic models. Write and validate T-SQL queries, work with views/stored procedures and Fabric, perform data validation, document logic, and partner with business stakeholders to deliver reliable BI solutions and KPIs.

The Research Engineer will research, test, and deploy trading strategies while designing research infrastructure and collaborating on innovative market ideas.

The Division Order Analyst will review and audit division orders and title documents, calculate ownership interests, resolve discrepancies, and communicate findings to clients while maintaining detailed records.

The AWS Cloud Data Engineer will design, develop, and enhance AWS data environments, build scalable Data Lake solutions, and lead proofs-of-concepts into production.

Define and improve data quality processes, analyze data issues, collaborate with stakeholders to document requirements, monitor data quality metrics, and support remediation efforts to ensure accurate, reliable data.

Build, test, and maintain BI reports and dashboards (Tableau/SSRS/Power BI/etc.), validate data accuracy, perform ad-hoc analysis on large datasets, document reporting infrastructure, and collaborate with Operations, Supply Chain, IT, and other teams to drive data-informed decisions and continuous improvement.