Top Data & Analytics Jobs

Provide consultative reporting and analytics for large Group Benefit Solutions clients, translate claims data into actionable insights, develop and present recommendations, build new reporting capabilities, collaborate with underwriting and account teams, troubleshoot data issues, and support operational improvement and analytics projects.

Owns go-to-market funnel reporting and analytics from lead generation through pipeline, bookings, and ARR. The role analyzes conversion, pipeline quality, CAC, LTV, marketing ROI, and sales efficiency across segments and channels. It builds dashboards, forecasts, and executive insights while partnering with Marketing, Sales, Revenue Operations, and Finance on attribution, data integrity, budgeting, and investment decisions.

Develop and improve mathematical models for trading strategies, conduct research and statistical analysis in a fast-paced team environment.

Develop and improve mathematical models and trading approaches. Conduct statistical analysis and back test trading strategies in a fast-paced environment.

Develop and improve learning measurement frameworks, dashboards, scorecards, and reporting standards. Analyze learning, skills, system, and operational data to identify trends, risks, opportunities, and business impact. Translate complex findings into clear recommendations and executive-ready narratives. Partner with operations leaders, program owners, HR, and subject matter experts to measure skill growth, behavior change, performance outcomes, and learning effectiveness.

The Data Analyst supports Product and Partner Management leadership by aligning priorities, facilitating cross-functional collaboration, sharing knowledge, and analyzing business information. The role requires querying databases, using Excel and potentially business intelligence tools, evaluating risks and opportunities, supporting requirements gathering, leading meetings, and making informed business decisions while managing multiple priorities.

Analyzes trading and brokerage data to identify venue costs and savings opportunities across global asset classes. Develops automation strategies, dashboards, and management information systems; presents insights to business leaders; supports brokerage negotiations and rate-card development. Coordinates cross-functional stakeholders, evaluates scenarios and risks, manages relationships, and coaches team members while driving process improvements and operational efficiency.

Analyzes large-scale payment datasets to identify optimization opportunities and deliver recommendations that support merchant growth. Builds scalable analytics solutions, ETL pipelines, automation, and self-service tools; leads A/B tests and complex data investigations; develops dashboards; and translates findings into actionable narratives for technical, commercial, and product stakeholders. The role also supports mentorship, knowledge sharing, and analytical best practices.

Supports reporting and optimization for Lowe’s Pro and Services business. The intern analyzes performance metrics, develops dashboards and reports, identifies process improvements, collaborates cross-functionally, and helps translate business insights into technical requirements and adopted solutions. The role provides experience in data visualization, analytics, sales enablement, operational excellence, and customer-focused decision-making.

Leads consumer research for GM International markets, managing quantitative and qualitative studies from design through analysis and recommendations. Combines survey, behavioral, digital, CRM, social, market, and secondary data to generate actionable insights for product, marketing, communications, technology, and local strategy decisions. Develops research instruments, oversees suppliers, manages complex stakeholders and timelines, creates executive presentations, and applies AI-enabled research methods responsibly.

Develop and maintain BI reporting for Digital TV business metrics, analyze large datasets to identify sales, inventory, and yield opportunities, and build automated reporting solutions. Collaborate with business and technology stakeholders on product features and processes, create ETL workflows, ensure data quality, and implement AI-powered analytics to support faster data-driven decisions.