Top Data Analyst Jobs

The Data Architect/Data Analyst will transform business requirements into technical specifications, evolve data models, and communicate designs to stakeholders. Responsibilities include collaborating with ETL developers, maintaining documentation, and optimizing database architectures.

Support enterprise data warehouse data accuracy and completeness: analyze and resolve data issues, create and load source-to-target mappings, validate ETL code, and consult reporting teams on variances.

The People Data Analyst role involves analyzing employee data to provide insights on engagement and retention, developing dashboards, and ensuring data integrity for HR reporting.

As a Data Analyst, you will reconcile and normalize customer data, support onboarding processes, and improve database performance, directly impacting business operations.

Support pricing and promotional optimization by building econometric and statistical models, implementing pricing algorithms, running price tests, analyzing sales and customer data, automating pricing processes with Python/SQL, and communicating insights to stakeholders to drive revenue and profitability.

Temporary 6-9 month Staff Data Analyst supporting eCommerce and marketing analytics. Lead data-driven projects, define and track metrics, analyze product and web data, build dashboards and automated reports, and provide insights for product teams and brand partners to improve user experience and business performance.

Perform stakeholder interviews and exploratory analysis to surface insights; build dashboards and reports; profile data and assess quality; leverage cloud data platforms; collaborate with engineers and clients; facilitate agile workshops and explore AI/GenAI to accelerate reporting and decision intelligence.

Analyze consumer and ecommerce data to inform business decisions: perform descriptive and cohort analyses, build and apply statistical and predictive models, create dashboards and visualizations, and communicate actionable insights to stakeholders.

Gather, clean, and validate data from multiple sources; analyze operational and supply chain data to identify trends and risks; build dashboards and KPI scorecards; automate reporting and data pipelines; support cross-functional teams and leadership with recurring and ad hoc analysis to inform process improvements and decision-making.

Perform people-focused analytics to support Talent Acquisition, Compensation, Workforce Planning, and Employee Listening. Clean and analyze HR and financial data, build statistical models, generate actionable insights, and communicate findings to stakeholders. Support People Analytics roadmap, execute prioritized projects, and collaborate with technical teams and leadership to inform workforce and hiring decisions.

Maintain and validate alarm system and building account information to support Federal Protective Service dispatching. Update building profiles, perform QA on information systems, track/log operations statistics, and assist with personnel training on system operations.

Support EPR program by mapping regulatory obligations, collecting and validating packaging/sales/environmental data, maintaining reporting systems, analyzing trends, supporting audits, and translating sustainability data into actionable insights for compliance and improvement.

Develop and maintain Power BI dashboards and analytics using UFDM to support manufacturing operations. Collaborate with factory leadership, engineering, IT, and Decision Intelligence to acquire and validate machine-level data, drive operational insights, enforce data governance, and train end users to improve operational KPIs and decision-making.

Turn complex data into actionable insights for National Accounts by performing statistical analysis, forecasting, modeling, and automated reporting. Build dashboards and executive presentations, diagnose data quality, partner with account teams, data engineers, and finance to influence decisions and track performance metrics.

Run funnel audits and synthesize multiple datasets into exec-ready narratives. Recommend and help launch A/B tests, benchmark against genres and market data, partner with game analysts and ETL engineers to validate and maintain clean data, and provide actionable UA, monetization, and live-ops recommendations to customers.

Client-facing data analyst who researches questions, combines multiple data sources, builds dashboards and visualizations, automates tasks with scripts, develops metrics and reports to inform enterprise software/hardware and procurement decisions, and supports program reporting for the Navy.

Collect, validate, and manage quality data from ERP, QSYS, and Excel. Develop and maintain Qlik Sense/QlikView dashboards for COPQ, complaints, warranty, audits, and scorecards. Produce regular and ad-hoc reports, support CAPA monitoring, collaborate with IT and cross-functional teams, and drive data-driven quality improvements across multi-site manufacturing.

Retrieve, clean, integrate and analyze business, medical, financial and operational data. Build repositories and reports, create data visualizations, identify trends and root causes, support ad-hoc requests, and provide insights to inform business decisions and process improvements.

Analyze business questions using SQL and Excel, build dashboards and reports, synthesize findings into clear presentations, and deliver actionable insights to senior stakeholders to drive strategy.

Serve as the program data point of contact for data modeling and data quality. Design and deliver reports and dashboards, gather requirements, perform impact analysis on model changes, respond to ad hoc requests, automate extraction and quality assessments, monitor system metrics, and represent the program in stakeholder meetings to support data governance and quality improvement.

Investigate and resolve investment data exceptions, execute data reporting and quality control, perform root-cause analysis, implement process improvements, support testing and monitoring, and maintain procedures to ensure gold-copy data integrity across the enterprise.

Oversee data collection, trend analysis, and outcomes reporting. Advise senior leadership on metrics, build dashboards and Power BI reports, and prepare board reporting. Design and maintain Azure Data Factory pipelines, develop and optimize SQL and Python analyses, monitor data quality, and collaborate across departments.

Collect, clean, and analyze HR data from HRIS, payroll, and time systems. Build and maintain HR dashboards and KPIs in Power BI/Tableau, identify trends and anomalies, provide actionable insights to HR leadership, support data-driven HR strategies, collaborate with IT to ensure data integrity/security, and respond to ad-hoc analytical requests.

Own and automate pricing models, cost calculators, and margin reporting. Perform SKU- and order-level landed-cost and margin analysis, quantify pricing impacts, maintain pricing logic/templates, build SQL/BigQuery pipelines, automate reporting with R/Python and Google Sheets/Excel, and collaborate with cross-functional teams to improve pricing accuracy and recommendations.

Develop and maintain Power BI reports and dashboards, write SQL to retrieve and validate data, support Microsoft Fabric datasets and semantic models, investigate data quality issues, gather requirements, document solutions, and assist BI projects across manufacturing, supply chain, logistics, sales, and distribution teams.