Top Senior Data & Analytics Jobs

Design and implement scalable data infrastructure and pipelines on AWS using Spark and Scala. Build fault-tolerant batch and streaming workflows, optimize storage formats and engines, enforce automated data quality checks, and collaborate with Data Science and Product teams to deliver reliable data assets and APIs.

Lead design and implementation of identity resolution and data governance systems. Build batch and streaming pipelines, APIs, and services to ingest, normalize, link, and version identity data. Ensure auditable matching, data lineage, quality checks, schema enforcement, access controls, and privacy-by-design. Collaborate cross-functionally with product, analytics, legal, privacy, and security teams and create documentation, monitoring, and runbooks.

The Manager, Data Management leads a firm-wide data management program, ensuring data quality and accountability across master data domains while partnering with stakeholders and managing staff.

The role involves architecting and designing BI solutions using QlikView, leading teams, optimizing data models, and providing technology advisory services.

The role involves leading the design, development, and implementation of QlikView and MicroStrategy solutions, managing teams, and enhancing data visualization capabilities to support business insights.

The role involves developing and analyzing SAP BI/BO solutions, creating reporting strategies, and presenting complex data to organizational leaders.

Design, develop, and maintain Microsoft Power Platform applications and dashboards (Power Apps, Power Automate, SharePoint, Dataverse, Power BI). Translate stakeholder requirements into technical solutions, create data visualizations and recurring reports, perform trend analysis, troubleshoot integrated solutions, and support system design, configuration, and continuous improvement to improve operational performance and remediation tracking.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

As a Data Engineer, you will develop solutions for customer-centric technology, ensuring platform integration and managing data architecture. Responsibilities include building data processes, maintaining data integrity, and collaborating cross-functionally to meet business challenges.

Responsible for the technical design, development, implementation, and maintenance of Truven products, collaborating with researchers to conduct analyses and maintain software standards.

Lead a team of data engineers supporting VALORANT to build scalable data infrastructure, set technical direction, ensure data quality and compliance, partner with analytics/product teams, optimize costs, and establish engineering best practices and tooling across Riot.

The role involves working with biostatistical procedures, software development in C, user communication, and technical writing for Stata's statistical tools.

The role involves developing statistical features in Stata, applying econometrics and programming, and engaging with users to enhance software functionalities.

Lead enterprise data architecture, migrations, and data services; define standards and roadmaps; oversee complex ETL and third-party integrations; deliver analytics, BI dashboards, and commercialization of AI analytics offerings; build the Data Strategy & Services organization and ensure continuity for legacy clients while partnering across Product, Engineering, Sales, and Customer Success.