Top Data & Analytics Jobs

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.

Analyze complex datasets, validate data quality, identify trends, and deliver actionable business insights. Develop reports, dashboards, KPIs, and scalable analytics solutions using SQL, Azure services, Excel, and visualization tools. Collaborate with business and technical teams on requirements, testing, issue resolution, stakeholder communication, and data-quality improvements. Track project risks and deliverables while supporting automation and AI-assisted analytics.

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%.

Design, develop, and maintain enterprise ETL pipelines and data integrations using Informatica technologies and SQL Server. Build batch and near-real-time workflows, mappings, transformations, and data quality rules. Collaborate with architects, analysts, governance teams, and business partners to translate requirements into reliable solutions. Support data synchronization, cleansing, MDM processes, testing, deployment, troubleshooting, and documentation within Scrum teams.

Leads digital and social analytics for PGA TOUR-owned platforms, including KPI measurement, dashboard development, reporting, data governance, validation, and audience insights. Integrates data from digital, social, media, and third-party sources to identify performance trends and opportunities. Delivers actionable analyses and executive reporting, supports automation and data quality initiatives, establishes measurement standards, and partners cross-functionally to improve fan engagement, content strategy, and business decisions.