Top Data & Analytics Jobs

Own analytics for major digital advertising clients across the Americas. Responsibilities include analyzing campaign performance, creating business reviews and forecasts, designing A/B tests, diagnosing delivery issues, and developing optimization recommendations. The role requires independent problem-solving, client-facing communication with senior stakeholders, commercial judgment, and coaching junior colleagues. Candidates need 3+ years of digital advertising analytics experience, strong SQL and Python skills, and knowledge of incrementality, attribution, and media mix modeling.

Own end-to-end analytics for a live-service game, including SQL analysis, A/B testing, metric reconciliation, dashboards, pipelines, simulations, forecasting, and applied ML. Translate findings into product, monetization, live-ops, and economy decisions. Use AI coding agents while validating their outputs, build reliable internal tools and services, maintain reporting, and communicate practical recommendations to technical and nontechnical stakeholders.

Supports federal-sector clients through business analysis, financial and operational data analysis, dashboard and report development, KPI tracking, requirements gathering, process improvement, data validation, and reporting automation. The role translates business needs into functional specifications, collaborates with technical and government stakeholders, supports UAT and Agile delivery, and communicates insights to program leadership. It also contributes to data governance, quality control, documentation, and enterprise reporting for project controls, facilities, assets, and capital programs.

Analyze Amazon business performance across ASINs and categories, reconciling sales, advertising, inventory, operations, and finance data. Investigate traffic, conversion, pricing, availability, promotions, profitability, and lost-sales risks. Produce recurring reports, business reviews, alerts, and actionable recommendations for account owners. Improve data quality and automate repeatable analysis using Excel, Power BI, and SQL where appropriate.

Designs and owns analytics solutions for business stakeholders, including dbt data models, advanced SQL transformations, data quality controls, semantic layers, Looker and Power BI dashboards, and automated reporting. Performs exploratory and root-cause analysis across revenue, sales, retention, margin, and operations; reconciles results with finance systems; documents metrics and lineage; and supports BI platform modernization and post-merger integration. The role requires strong stakeholder communication, analytics engineering, cloud data platform expertise, and production-quality development practices.

Lead enterprise data strategy and delivery across data platforms, master data management, semantic layers, governance, quality, modeling, and pipelines. The role requires hands-on architecture leadership, executive stakeholder engagement, and delivery of complex multi-region platforms using Snowflake, cloud infrastructure, MDM, Collibra, dbt, and batch and streaming architectures.

Leads HR analytics strategy by developing descriptive, predictive, diagnostic, and prescriptive reports, dashboards, and data products. Uses statistical modeling, machine learning, visualization, and data storytelling to inform workforce planning and business decisions. Consults with leaders to define metrics and requirements, curates HR data, supports Agile analytics development and QA, conducts UX research, and trains users on reporting tools. Requires expertise in HRIS data, business intelligence, statistical analysis, and data visualization.

Ten-week, in-person consulting internship focused on solving client business problems through data cleaning, relational database design, ETL, KPI analysis, data visualization, and executive dashboards. Interns collaborate in self-led teams with consultants and stakeholders to structure and analyze data. The role is based in Richmond, Virginia, requires 40 hours per week, and runs from June 1 through August 6, 2027.

Analyzes aviation business data, develops reports and dashboards, identifies operational trends, supports business cases and ROI analyses, and provides insights for process improvement. The role gathers requirements, supports system implementations and user acceptance testing, collaborates with IT and vendors, monitors sales, repairs, inventory, and operations data, and communicates recommendations to stakeholders. This is an onsite position supporting GA Telesis’s Maintenance, Repair & Overhaul division.

Analyzes aftermarket parts growth opportunities, competitive intelligence, inventory performance, demand, and data integrity. Partners cross-functionally on selling strategies, process improvements, campaigns, and working-capital optimization. Uses SQL, Excel, Power BI, and Tableau to develop actionable insights and support strategic decisions. The role is primarily in-office in St. Louis with travel up to 25%.