Top Data & Analytics Jobs

Analyze complex business, account growth, product usage, and market data to identify actionable insights. Build financial models, executive sales dashboards, interactive reports, and data visualizations for senior leadership. Collaborate with product management, sales, finance, customer success, and leadership teams. Support customer segmentation, product analysis, data governance, workflow improvements, and data extraction through complex queries.

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.

Senior DBA responsible for designing, building, and maintaining MS SQL Server databases and ETL (SSIS) processes, managing a SQL Data Warehouse for reporting, optimizing performance, ensuring data integrity/recovery, and producing technical documentation.

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.

Contributes to AI and data analytics initiatives within Internal Audit by developing agents, workflow automation, analytics solutions, and Power BI dashboards. Advises audit stakeholders, supports AI strategy and innovation projects, tracks performance metrics, identifies process improvements, and helps deliver training. The role also requires governance compliance, requirements gathering, communication, and collaboration in a hybrid environment.

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.