Top Data & Analytics Jobs

Develops business intelligence and analytical solutions for the CPM organization. Responsibilities include consolidating data from disparate sources, writing SQL queries, creating tools, developing and supporting Power BI dashboards, gathering stakeholder requirements, preparing management reports, supporting regulatory filings, and producing KPI reports.

Designs and implements scalable data architectures, ingestion and transformation pipelines, API integrations, cloud data solutions, and data governance practices. The role supports analytics, business intelligence, dashboards, and AI models while optimizing infrastructure performance and cost. Responsibilities include data modeling, security, quality, lineage, compliance, documentation, and collaboration with cross-functional stakeholders. Requires expertise in Microsoft Fabric, AWS and Azure data services, SQL, Python, Tableau, and modern ETL/ELT practices.

Manage integration, validation, and maintenance of ISO15022/ISO20022 corporate actions messaging and the Corporate Actions master database. Lead a team of analysts, onboard new markets/events/sources, resolve complex data issues, document quality controls, liaise with engineering/product/support, and drive automation and process improvements to ensure accurate, timely corporate actions content for clients.

Maintains and transforms electrical utility GIS data using ArcGIS, ArcFM, and custom applications. Responsibilities include spatial and attribute editing, digitizing, data conversion, validation, QA/QC, standards enforcement, database maintenance, and documentation. The specialist interprets utility assets, electrical schematics, and distribution network information while coordinating with supervisors and trainers to resolve data issues and meet production timelines.

Designs, develops, and maintains Power BI dashboards and reports for enterprise programs and business functions. Translates stakeholder requirements into intuitive visualizations, integrates data from multiple sources, validates data quality, standardizes reporting practices, optimizes dashboard performance, and documents reporting architecture and processes. The role supports program management offices and enables data-driven decisions through accurate, scalable, and actionable business intelligence.

Lead the Global eCommerce Business Insights function, transforming complex data into actionable commercial recommendations. Oversee analytics across merchandising, pricing, demand, marketing, CRM, content, customer behavior, supply chain, and purchasing. Establish analytical frameworks, performance reviews, driver trees, and scalable playbooks. Lead root-cause analysis, segmentation, scenario modeling, and opportunity sizing while developing a team of analysts and data storytelling specialists. Partner with Product, Technology, Data Engineering, BI, AI/ML, and global teams to deliver executive-ready insights and measurable business impact.

Lead data analysis, reporting, and storytelling for Health Insurance clients. Design studies and surveys, ensure questionnaire quality, analyze results, collaborate with client teams, and produce clear, actionable deliverables on schedule.

Build, operate, and improve large-scale data ingestion pipelines supporting autonomous driving AI systems. Responsibilities include debugging pipeline failures, handling corrupt and inconsistent data, optimizing Spark jobs, managing orchestration and retries, improving throughput and reliability, reducing operational toil, and supporting downstream annotation, data science, training, and evaluation teams.

Manage program data across MDA systems by establishing data governance, developing Integrated Data Management and Data Handling Plans, supporting data lifecycle (collection, validation, storage, dissemination, archival), ensuring integration and interoperability, defining test data requirements, supporting mission execution and data readiness for BI/AI/ML, performing data analysis to identify gaps, and maintaining metadata and data quality standards.

Analyze, clean, transform, and validate structured and unstructured data; maintain data pipelines; develop Power BI or similar dashboards; conduct exploratory analysis; automate reporting workflows; document data processes; and support federal data quality, governance, and AI-enabled analytics initiatives.