Top Data & Analytics Jobs

Business Analyst serves as the link between business stakeholders and technical delivery teams. Responsibilities include gathering and documenting requirements, creating user stories, acceptance criteria, process flows, and functional specifications; supporting Agile backlog refinement, sprint planning, testing, and user acceptance testing; and analyzing processes and data to identify inefficiencies, root causes, automation opportunities, and measurable improvements.

Analyze consumer sales and order data to identify purchasing trends, product preferences, pricing impacts, and trade-up behavior across products, stores, markets, and time periods. Translate findings into actionable recommendations for product and business decisions while developing skills in data analysis, visualization, problem solving, and stakeholder communication.

Supports clinical data analysis, workflow improvement, solution requirements, project coordination, clinical content, dashboards, and customer engagement. Serves as a clinical subject matter expert, applying healthcare terminologies, data standards, SQL, Excel, and analytical tools to generate insights from EHR data. Collaborates with EHR vendors, pharmacies, payers, and internal teams on health IT initiatives and clinical solutions, including AI-enabled capabilities.

Supports digital experience analytics by analyzing customer data, optimizing marketing and sales programs, improving data collection and integration, building machine learning models for personalization, enabling rapid reporting, and evaluating KPIs. The internship also involves developing data products, training teams on analytics tools, and communicating actionable recommendations to stakeholders.

Analyze digital campaign and user journey data across email, web, social, and client systems. Build dashboards and reports, ensure data quality, develop measurement strategies, and translate quantitative and qualitative findings into actionable recommendations. Collaborate with internal teams, vendors, and government clients, presenting clear data narratives to nontechnical audiences and improving outreach performance, user experience, and reporting workflows.

Own end-to-end data and reporting solutions for a regulated mortgage lender. Responsibilities include request intake, requirements gathering, advanced SQL development, data profiling, validation, reconciliation, testing, UAT, migration support, launch readiness, post-launch monitoring, and stakeholder communication. The role also ensures data lineage, quality, compliance, and alignment with mortgage regulations while managing projects from scoping through production support.

Supports investment management data systems by improving data integrity, reporting, process automation, and operational efficiency. Processes and quality-controls portfolio data, troubleshoots systems, builds actionable reports, and assists with portfolio analysis, cash-flow projections, and financial modeling. Partners with investment, sales, client relations, and business teams while responding to data and reporting inquiries. The role also leverages AI tools to improve data access, workflow efficiency, and decision-making.

The Junior Data Analyst cleans, transforms, validates, queries, and maintains data for business intelligence. Responsibilities include database management, data quality assurance, statistical analysis, dashboard and report development, documentation, stakeholder collaboration, SOP support, and contributing to data lake or warehouse solutions. The role requires SQL, Excel, strong analytical skills, and the ability to support data-driven decisions in a fully on-site environment.

Leads advanced analytics for Sales Compensation, including quota processes, predictive modeling, reporting, data integration, ETL, and business intelligence. Analyzes data across applications, resolves discrepancies, defines data mappings, develops scalable automation and reporting solutions, collaborates with business stakeholders and DBAs, and delivers recommendations affecting multiple business organizations.

Leads multidisciplinary data and analytics teams, setting strategy, standards, priorities, and staffing. Oversees data pipelines, analytical databases, predictive models, reporting workflows, and business intelligence initiatives. Partners with business stakeholders to translate needs into technical solutions, communicate insights, improve processes, and drive business value. Manages recruitment, coaching, performance, retention, and development while advancing analytics adoption and data-driven decision-making across the organization.