Top Hybrid Data & Analytics Jobs

Supports recurring and ad hoc media analytics, reporting, data quality assurance, and performance insight development. The role gathers and validates data, creates client-ready narratives and presentations, collaborates with internal teams and external partners, and helps improve reporting workflows. Required skills include Excel, PowerPoint, data analysis, communication, and attention to detail; familiarity with Power BI, Tableau, Python, R, and SQL is valued.

Designs scalable finance analytics workflows, data models, pipelines, and automation supporting FP&A decision-making. Builds governed finance data layers from ERP and operational data, develops self-service analytics, applies AI/ML for predictive insights and anomaly detection, and manages automation governance. Translates financial data into executive-ready insights while ensuring solutions are documented, maintainable, and scalable.

Conduct qualitative and quantitative market research, including surveys and focus groups, and translate consumer, retail, and competitive data into actionable insights. Build dashboards and visual reports in Power BI, manage research systems and roadmaps, support product innovation and business planning, and present findings to internal stakeholders. Create compelling visual materials such as product concepts, mockups, sell sheets, and packaging explorations.

Supports tracking QA, documentation, recurring reports, dashboards, ad hoc data questions, and cross-functional analyses across product, growth, marketing, business development, and content. The intern will ensure event tracking accuracy across iOS and web, communicate findings clearly, and help teams make decisions using reliable data.

Analyze consumer behavior, sales performance, marketing effectiveness, and eCommerce impact data. Build and disseminate Power BI dashboards, prepare actionable findings for Brand Marketing and Sales stakeholders, collaborate on cross-functional research projects, review presentation design consistency, and document processes. The role requires strong Excel, Power BI, and R skills, familiarity with syndicated sales data and eCommerce workflows, and the ability to communicate quantitative insights clearly.

Summer internship supporting Metro’s Ridership and Mobility Analysis team. The intern will research transit and mobility data, analyze numerical information, prepare reports and presentations, create data visualizations and dashboards, identify issues, and assist with departmental projects and meetings. Assignments may vary by department and include training in transit operations, safety, engineering, technology, planning, or business functions.

Leads day-to-day platform data operations, including partner file ingestion, PAL data integration, fund mapping, secure transfers, validation, quality metrics, issue resolution, and audit controls. Manages and develops the data operations team while driving automation, workflow improvement, documentation, and migration from legacy architecture. Partners with Product and Engineering, recordkeepers, advisors, and clients to improve data accuracy, scalability, security, and service delivery.

Own client reporting data models and pipelines, transforming raw data into reliable, auditable assets for reporting, analysis, and AI initiatives. Build and maintain BigQuery, dbt, and Airflow workflows; establish data contracts, governance, quality, and observability frameworks; develop dashboards and complex SQL analyses; support operational leaders with root-cause insights; and collaborate with clients, data teams, engineering, product, and client success.

Leads Flexential’s enterprise data strategy, architecture, governance, integration, analytics enablement, and information management functions. Oversees data platforms, warehouses, pipelines, APIs, data products, metadata, lineage, quality, security, and governance standards. Builds an enablement-focused operating model, partners with AI and business teams, manages vendors and budgets, and develops the Enterprise Data team. The role drives trusted, reusable data assets, self-service analytics, operational efficiency, and AI readiness while improving platform reliability, delivery discipline, and measurable business outcomes.

Supports the Branch Operations Performance and Analytics team by researching data assets, documenting sources, lineage, retention, transformation logic, and KPIs. Processes and analyzes data, investigates accuracy issues, supports audits and access controls, monitors stakeholder requests, and contributes to data roadmap planning. Collaborates with data stewards, analysts, program managers, and business stakeholders while developing technical, analytical, and problem-solving skills.