Top Data & Analytics Jobs

Supports commodities trading through BI dashboards, reporting, data pipelines, forecasting models, and analysis of pricing, P&L, volumes, and market exposure. The role troubleshoots data quality issues, translates stakeholder needs into analytical solutions, automates reporting workflows, supports market data migrations, prepares management presentations, and mentors junior analysts. Work includes Power BI and Spotfire development, SQL-based data analysis, and collaboration with IT Data Engineering.

Own client-facing data services projects for private markets and financial services clients. Responsibilities include onboarding clients, structuring data from multiple sources, managing data collection, preparing status reports, creating customized dashboards and reporting templates, handling client requests, supporting new product launches, and mentoring Associates. The role requires strong Excel and Microsoft Office skills, client service, communication, organization, and attention to detail.

Leads the centralized analytics function, managing intake, prioritization, delivery, and performance of cross-functional analytics and reporting initiatives. Partners with business leaders to define objectives and translate data into actionable insights. Oversees analytics professionals, improves data quality and governance, establishes standardized processes, drives automation, and promotes data-driven decision-making. Requires strong stakeholder management, BI, data warehousing, SQL, cloud platform, and project management knowledge.

Owns the technical and analytical infrastructure supporting marketing growth. Responsibilities include Webflow development, JavaScript and HTML customization, Google Tag Manager implementation, HubSpot integrations, lead-capture forms, SQL/Python/Databricks data pipelines, conversion-rate optimization, A/B testing, multi-touch attribution, and executive-ready marketing and sales performance insights. The role is fully remote and partners directly with commercial leadership on pipeline analysis, budget allocation, and incentive management.

Analyzes and documents process and acceptable knowledge for contact-handled transuranic waste at Idaho National Laboratory. Responsibilities include querying and managing complex datasets, evaluating waste-container eligibility, interpreting WIPP and environmental regulations, developing technical documentation, supporting audits, resolving nonconformances, coordinating with DOE organizations, and maintaining historical records. The role also supports training, information requests, and qualification as a WIPP Acceptable Knowledge Expert.

Design, build, and maintain ETL processes to move and transform IRS data into Sybase IQ. Optimize and monitor ETL performance, ensure data quality, troubleshoot shell/SQL errors, document processes, and collaborate with data architects, analysts, and stakeholders to support the Compliance Data Warehouse.

Build scalable data models, production pipelines, dashboards, reporting, and analytics products for Stripe’s global payments business. Own data quality, testing, monitoring, documentation, and metric definitions. Partner with senior leaders to translate business needs into analyses, identify opportunities, and shape product strategy across global markets.

Lead client analytics strategy, testing roadmaps, quantitative analysis, predictive modeling, campaign evaluation, reporting, and data visualization. Partner with cross-functional teams to deliver high-quality analytical solutions and communicate actionable insights to clients. Use statistical methods and tools including R, Python, SQL, BI platforms, and data warehouses to support marketing decisions, identify growth opportunities, and connect media performance to business outcomes.

Lead compliance analytics for BSA/AML and CRA: tune transaction monitoring and watchlist screening, build and streamline compliance reporting, support UAT, audits and regulatory exams, collaborate with Model Risk, Data Engineering and Technology, and prepare executive reporting.

Designs, develops, and supports SAP HANA reporting solutions and enterprise data products. Responsibilities include building data pipelines, calculation views, BI visualizations, embedded analytics, validation processes, metadata documentation, demos, and user training. The role partners with stakeholders, analysts, data scientists, and process teams to translate business requirements into deployable data solutions and improve the organization’s data platform.