Top Hybrid Data & Analytics Jobs

Leads product, formulation, packaging, and SKU onboarding across master data and PLM systems. Defines data standards, hierarchies, workflows, playbooks, SLAs, and quality metrics; manages PLM operations, integrations, and system enhancements. Partners with R&D, Supply Chain, Regulatory, Commercial, Quality, and IT to govern product lifecycle data. Manages and develops a small analyst team while building scalable processes and resolving data issues.

Leads GWI’s research and insights strategy across syndicated and custom offerings, develops thought leadership, supports strategic sales, oversees pricing and quality, and manages Research and Insight Services directors. Serves as the senior research representative with clients, executives, and industry audiences; partners with Revenue, Product, and Technology teams to drive commercial growth, innovation, and high-quality research solutions.

Supports underwriting portfolio management by sourcing, validating, and analyzing internal and external data. Evaluates portfolio performance, competition, market trends, and strategic opportunities; develops predictive analyses, dashboards, visualizations, reports, and presentations. Leads end-to-end analytical projects and explores automation, AI, and emerging technologies. Collaborates with underwriting, actuarial, claims, finance, and analytics teams to translate complex findings into actionable business recommendations.

Deliver strategic, data-driven insights supporting sales objectives for Walmart and Sam’s Club. Build client relationships, create sales presentations, analyze syndicated and internal data, manage reporting across clients and categories, standardize best practices, and mentor one analyst. The role requires advanced business application proficiency, strong communication, project management, and the ability to translate consumer and market trends into actionable recommendations.

Leads business insights for Walmart and Sam’s Club clients by developing strategic, data-driven sales presentations and reporting. Uses syndicated, loyalty, consumer, and internal data to influence business strategies and merchant action. Builds client relationships, manages multiple projects, standardizes analytical best practices, and mentors one analyst. Tracks retail and consumer trends while communicating insights that support sales growth.

Leads commercial insurance portfolio analytics, executive reporting, performance monitoring, forecasting, product strategy, pricing analysis, and competitive intelligence. Partners with senior stakeholders to identify risks and growth opportunities, translate complex data into recommendations, and support profitable decisions. Manages analytical initiatives, product development changes, and cross-functional programs while leading and developing team members and fostering data-informed decision-making.

Designs and maintains financial data models, analytical pipelines, metrics, datasets, reports, dashboards, and self-service analytics tools. Performs statistical, predictive, exploratory, and financial analyses using large-scale cloud data platforms. Partners with stakeholders to translate business questions into analytical solutions, collaborates with engineering on data integration, and develops analytical code using Python, Java, SQL, and YAML.

Build and maintain scalable batch and real-time ETL processes, data warehouses, lakes, and marts. Develop Power BI and SSRS reports and dashboards, automate data workflows, optimize queries, support secure data exchanges, protect sensitive information, and improve data quality and system stability. The role requires SQL and relational database expertise, collaboration with business users and data teams, and a focus on reliable, maintainable solutions. This is an entry-level campus recruiting position for May 2027 offers.

Build, test, deploy, and operate data pipelines and transformations for financial and economic datasets. Monitor production workflows, implement alerting, logging, automated testing, and data-quality checks, and conduct root-cause analysis. Partner with engineering, DevOps, application, investment, and research teams to deliver documented solutions. Analyze data to support investment-model research and automate manual processes, developing progressively greater ownership of private-markets data systems.

Reviews and processes music royalty statements, validates data, investigates inconsistencies, and transforms financial reports into standardized datasets. Builds Python automation tools, collaborates with Engineering and business teams on internal workflow improvements, monitors operational metrics, and recommends ways to improve processing speed, accuracy, and scalability. The role supports investment, research, finance, and pricing decisions while helping design scalable royalty-data processes.