Top Hybrid Data & Analytics Jobs

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.

Owns web and conversion analytics across the eCommerce journey. Analyzes customer behavior, funnels, campaigns, merchandising, retention, and commercial performance; builds dashboards and measurement plans; supports experimentation; validates tracking and data quality; develops forecasts and business cases; and presents actionable insights to senior leaders. Partners with cross-functional teams and mentors analysts while establishing analytics standards and best practices.

Designs, builds, and supports scalable data pipelines, integrations, transformations, and services for Mayo Clinic’s biomedical research platform. Works with genomic, omics, clinical, laboratory, imaging, and multimodal datasets; harmonizes data, maintains metadata and provenance, validates quality, and enables governed access. Partners with investigators, bioinformaticians, scientists, and analytics teams to support research, machine learning, and precision medicine applications using Google Cloud and modern data engineering tools.

Sources, prepares, validates, and analyzes data to produce business intelligence reports, analytical datasets, automated processes, and insights. Collaborates with business and technology partners to define needs, improve reporting workflows, and communicate findings. Uses queries, data visualization, automation, and predictive analysis techniques while mentoring junior staff and supporting data governance and compliance.

Design, deploy, and maintain global data platform infrastructure with emphasis on multi-region Databricks orchestration. Lead system architecture, optimize Databricks (Delta, Spark, Unity Catalog), implement IaC with Terraform, build CI/CD pipelines, troubleshoot platform issues, and collaborate with cross-functional teams to meet technical, governance, and performance requirements.