Top Data & Analytics Jobs

Develop and maintain software applications and Tableau dashboards that transform complex datasets into business intelligence. Collaborate with product managers, developers, QA, and stakeholders in Agile delivery; contribute to architecture, coding, reviews, debugging, optimization, and mentoring. The role requires an active Secret clearance, daily onsite work in Norco, California, occasional travel, and attendance at biannual Washington, DC sessions.

Develops and maintains BusinessObjects WebI reports, designs BusinessObjects Universes, and writes optimized PL/SQL queries for Oracle databases. The role collaborates with stakeholders to define reporting requirements, ensures data accuracy, supports report users, and performs complex data analysis. It requires a Secret clearance, 8570 IAT Level II certification, and at least two years of software development experience.

Develop and optimize SAP Data Services ETL/ELT workflows integrating SAP and non-SAP systems. Create source-to-target mappings, extraction routines, transformations, data quality processes, and profiling solutions. Monitor and troubleshoot jobs, tune SQL and database performance, and apply SAP HANA optimization techniques. The role requires collaboration across functional and technical teams while supporting a mission-critical Department of Defense transportation and logistics environment.

Supports strategic and operational projects through research, data and financial analysis, presentations, project coordination, and process improvement. Assists with M&A due diligence and partner integration activities, including organizing information, tracking deliverables, and preparing status updates. The intern collaborates across functions, communicates findings, and develops practical experience in corporate finance, strategy, business analytics, and operations during a 10-week summer program.

Leads the Business Analytics and Reporting team, delivering business intelligence, dashboards, regulatory reporting, financial analyses, and executive insights. Partners with FP&A, strategic planning, and business stakeholders to explain performance drivers, risks, and recommended actions. Owns capital, retained earnings, and dividend calculations; modernizes reporting processes; improves controls and efficiency; and manages hiring, coaching, prioritization, and team development.

Own the end-to-end business intelligence lifecycle, building semantic models, DAX measures, reports, and dashboards in Microsoft Fabric and Power BI. Manage performance optimization, workspace governance, permissions, row- and object-level security, version control, deployment pipelines, refresh troubleshooting, and production support. Collaborate with analysts and IT engineers to maintain trusted data models and implement enhancements. The role also requires strong SQL, communication, organization, and deadline-management skills.

Leads CookUnity’s Advanced Analytics function, setting strategy and partnering with Product, Finance, Operations, Marketing, and leadership. The role involves experimentation, causal inference, retention and growth analysis, marketing measurement, product impact evaluation, and translating insights into business decisions. This hands-on player-coach will guide complex analytical work, develop analysts, improve analytical rigor, and shape team structure and priorities.

Build and operate scalable data pipelines for structured, semi-structured, and unstructured Army data. Responsibilities include ETL/ELT development, data cleaning and transformation, quality controls, lineage tracking, monitoring, incident response, governance, permissions, encryption, audit logging, and compliance with DoD requirements. The engineer will use Army data platforms and tools, translate mission needs into technical solutions, document designs, troubleshoot failures, and collaborate with stakeholders to deliver reliable data products.

Performs client-facing data analysis in data-rich environments, transforming structured and unstructured data into insights and recommendations. Builds dashboards, reports, data models, pipelines, and connectors; conducts data cleaning, visualization, predictive modeling, and quantitative and qualitative analysis. Uses Python, SQL, ETL, Power Platform, and potentially Databricks or PySpark. Briefs senior leaders and supports strategic engagements, process improvement, and analytic product development.

Provides strategic workforce analytics and consulting to translate quantitative and qualitative employee data into actionable recommendations. Partners with HR and business leaders to prioritize insights, identify workforce trends and risks, facilitate decision-making, and communicate findings through storytelling, presentations, dashboards, and discussions. Uses analytics and AI/GenAI tools to synthesize data and support stakeholder communications while maintaining risk and compliance standards.

Leads business and data analytics strategy across information management, governance, reporting, analytics, and delivery functions. Oversees data platforms, reporting modernization, advanced analytics, AI and machine learning adoption, risk management, and executive insights. Builds and develops high-performing teams, manages analytics portfolios, establishes measurement frameworks, and translates complex data into business, marketing, and financial recommendations. The role requires strong stakeholder influence, strategic planning, and experience in regulated financial services environments.

Leads business and data analytics strategy for P&C pricing, partnering with Pricing, Actuarial, technology, and executive stakeholders. Oversees requirements gathering, portfolio prioritization, data platforms, reporting, governance, analytics delivery, risk management, and modernization initiatives. Guides high-performing teams, translates complex business needs into technical solutions, influences architecture decisions, and uses data-driven insights to support strategic business outcomes.

Supports aftermarket supply chain analytics for new part introductions and end-of-life decisions. Uses data modeling, reporting tools, databases, and business analysis to recommend parts, improve availability, and increase revenue and vehicle uptime. Coordinates projects between IT and supply chain teams, maintains reporting systems and workflows, manages part lifecycle data, supports SAP-Paragon material loads, develops KPIs, and facilitates process improvements using lean and TOS methods.

Analyzes digital member experience, Voice of Customer, CSAT, survey, and behavioral data to identify trends, friction points, and service issues. Builds dashboards and reports using analytics tools, presents actionable recommendations to stakeholders, supports incident reviews and issue resolution, and partners with engineering, product, and reliability teams to validate fixes. Uses AI to summarize feedback, detect themes, and automate reporting while ensuring accuracy.

Supports Somali-speaking learners in a fully virtual data analytics program. Responsibilities include answering questions, facilitating breakout rooms, holding office hours, reviewing materials, grading assignments, providing feedback, recording walkthroughs, monitoring learner progress, and escalating concerns. The role also requires supporting live sessions, communicating in Somali and English, attending onboarding and staff meetings, and submitting weekly progress reports.