Top Data Analyst Jobs

The Data Analyst will document data requirements, assist with master data management, perform data profiling, and support data governance.

As a Trainee Data Analyst, assist in data collection, cleaning, analysis, and support teams with reporting needs using SQL and visualization tools.

The Data Analyst will perform data analytics and data science projects, work collaboratively on client engagements, and develop skills in analytics.

The Big Data Analyst will analyze complex data, communicate findings, work with teams, and solve problems related to BI and case management.

Develop and improve TransUnion's IP geolocation technology by analyzing large datasets, implementing automation algorithm improvements, and providing analytic insights. Collaborate with engineers and data scientists, use SQL/R/Python/MongoDB/BigQuery, and communicate findings to nontechnical stakeholders. Hybrid role with regular in-office work.

Support ATF case work by gathering, reconciling, and entering data from multiple sources; maintain files, track case status, prepare reports and documents, perform word processing, coordinate information requests, and provide timely status updates.

Serve as a data quality and QA engineer on a federal data platform: build automated AWS Glue/Deequ data quality checks, validate schemas and ETL pipelines, create and run unit/integration tests with 90% coverage, support IV&V and UAT, perform static/security scans, produce test documentation, monitor production ETL, and collaborate with data stewards and IV&V teams.

Design, build, and maintain ETL processes, data models, queries, and reports. Produce statistical and narrative analyses, develop visualizations and self-service reporting, ensure data quality, support projects, audits, and stakeholder requirements, and train/consult with end users.

The Data Analyst will collect, clean, and analyze data to support business decisions. Responsibilities include creating reports and dashboards and presenting insights to stakeholders.

Support creation, maintenance, and governance of master data in SAP/Oracle and related systems. Validate, cleanse, and enrich large datasets, generate data quality reports, collaborate cross-functionally, support PIM/PLM and audits, and help automate reporting and training.

The Data Analyst designs and manages data systems, analyzes complex data sets, identifies trends, and collaborates with teams for improved data quality and reporting.

Build and maintain data pipelines and integrations, develop SQL/Python analytics and BI dashboards, ensure data integrity, perform deep-dive financial analyses, and partner with finance, operations, and advisors to deliver actionable insights supporting forecasting, reporting, and business decisions.

Design, build, and maintain interactive Power BI dashboards (including Fabric workspaces). Analyze data to identify trends, ensure data quality, collaborate with stakeholders to gather requirements, and present actionable insights to support decision-making.

Support Power BI reporting and Microsoft Fabric data assets, validate data quality, assist automation and early AI pilots, perform Excel/SQL/Python analysis, document metrics and business rules, and collaborate with business teams across Finance, Operations, Supply Chain, and Project Management.

Analyze digital customer journeys and site behavior to identify friction, explain marketing performance, and provide actionable insights. Maintain dashboards, support A/B and multivariate testing, collaborate with developers on tagging and tracking, and drive optimization to improve conversion and retention.

Lead customer analytics to inform acquisition, retention, and reactivation. Build segments, maintain BI dashboards, track marketing KPIs and A/B tests, and partner with cross-functional teams to translate insights into marketing and product strategies.

As a Mid Data Analyst, you will analyze complex data sets, support clients in decision-making, and develop data methodologies while collaborating with stakeholders.

Design and build scalable ETL pipelines and real-time dashboards from telemetry and user data. Integrate AI/ML insights, combine internal and external data sources, ensure data quality, and support cross-platform (Android, iOS, macOS, Windows) AI integration to improve consumer protection products and operational monitoring.

Lead deep-dive analyses on large-scale datasets to drive Xbox Advertising product and business decisions. Design and analyze A/B tests, apply rigorous statistical methods, communicate results to technical and non-technical stakeholders, collaborate with product, data science, engineering, and commercial teams, document methodologies, and provide actionable recommendations to senior management.

Lead deep-dive analyses on large-scale advertising and gaming datasets, design and analyze A/B experiments, apply statistical methods, communicate insights to stakeholders, and collaborate with product, engineering, data science, and commercial teams to drive product and business decisions.

Run and maintain reports and analyses using the agency MIS and external databases; manage referrals and chart reviews; track performance metrics and forecast outcomes; coordinate with EQI and IT to develop measurement tools; produce board and executive reports; perform quality assurance, staff training, and ad hoc data projects to inform program operations.

Analyze manual processes to find improvement opportunities, define problem scope, propose solutions, and automate procedures using Excel/VBA. Create queries, write reports, and present findings to drive operational excellence.

The Data Strategy & Sourcing Analyst transforms product data into a strategic asset, ensuring data integrity and driving cost savings through sourcing. Responsibilities include establishing a Single Source of Truth, conducting data analysis, and collaborating with teams for financial impact. The role requires strong analytical skills, proficiency in SQL, and experience with data management tools.

Analyze customer sales and behavioral data to impact decisions, develop reports, optimize campaigns, and enhance user experience in ecommerce.

This role leads underwriting research and analytics to improve risk segmentation and performance, partnering with various teams to evaluate data sources, develop predictive models, and present insights to leadership.