Top Data & Analytics Jobs

Analyze and profile IBM zVSE Mainframe VSAM files, extract field references from COBOL and application code, create a master data dictionary and source-to-target mappings, support data quality, cleansing, and migration activities, and collaborate with SMEs and IT to remediate data issues.

Design, model, and validate data warehouses and transactional databases. Perform data mapping, profiling, ETL validation, and create source-to-target documentation. Gather business requirements via JAD/JRP, produce functional specifications, diagrams, test plans, and lead UAT and testing lifecycle activities.

Produce monthly department and IT financial reports using Clarity-sourced data; develop and maintain dashboards and web-catalog reports; perform ad-hoc analysis, CapEx reporting and compliance; manage data points, user roles, and reporting infrastructure; support IT/Finance with reporting, administration, and documentation.

Support IT and Finance by developing and maintaining Clarity-sourced financial and utilization reports and dashboards. Produce monthly CapEx and expense reports, administer CapEx tracking/compliance, manage data accuracy and portlets, capture reporting requirements, and provide system administration and reporting support using Business Objects, SharePoint Designer, Integrify, Visio and Office tools.

Deliver business and data analysis for BI and data solutions, define and implement Reference Data Management, metadata, governance, and data quality capabilities. Work across database, ETL, datamart and reporting layers, create wireframes, support enterprise data integration, drive SLA/KPI commitments, and liaise with clients to translate business needs into data solutions.

Perform business analysis and define requirements for BI and data solutions. Design and implement Reference Data Management, metadata, governance, and data quality capabilities. Work across database, ETL, datamart and reporting layers, provide enterprise data integration analysis, wireframe solutions, engage clients, meet SLAs/KPIs, and support solution design and troubleshooting.

Collect and analyze data to assess change management and training effectiveness; implement audits; create assessment and trend reports; develop surveys and trainings; lead interviews and focus groups; track corrective actions and timelines; collaborate across departments to recommend and support performance improvements.

The Senior Business Data Analyst handles complex data analyses, collaborates with stakeholders, documents technical specifications, and develops data solutions to meet business objectives, ensuring quality and compliance.

Designs and develops agency-wide SaaS applications supporting behavioral health programs and administrative units. Configures MIS/EHR features, data elements, file formats, and processes; develops institutional and departmental reports; manages complex SQL and ETL work; documents requirements and system support materials; and collaborates with end users, technical teams, developers, and leadership to improve operational outcomes.

Manages supplier master data governance, including onboarding, maintenance, validation, cleansing, audits, reporting, and data quality improvement. Identifies and resolves inaccurate, duplicate, or incomplete records; supports ERP enhancements and governance initiatives; performs supplier risk and fraud controls; and collaborates with stakeholders and suppliers on compliance, process improvements, and user education.

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.

Deliver and support inbound/outbound EDI (ANSI X12-834) and claims file implementations, perform EDI mapping and testing, monitor file processing, troubleshoot data discrepancies, coordinate cross-functional stakeholders, and maintain data integration documentation and quality controls.

Partner with the Growth Marketing Lead to synthesize channel performance, own KPI reporting, run LTV/CAC and cohort analyses, evaluate experiments, and translate messy data into clear, prioritized recommendations that drive marketing decisions. On-site in San Francisco, measured by the decisions your analysis changes.

The Data Analyst will collect, analyze data from test events, generate reports, and support analysis tools during testing for government and military customers.

The Data Analyst will evaluate data, define requirements, perform analysis, develop standards, and apply cybersecurity principles while documenting methods.

The SQL Data Analyst will focus on Business Intelligence development, data modeling, and advanced SQL query capabilities while working with Microsoft technologies.

The Data Analyst will develop and enhance the data warehouse environment, including data design, database architecture, and accuracy checks, alongside troubleshooting and evaluating new applications.

The Data Analyst will analyze data flows, create metrics for reconciliation, document requirements, and collaborate with technical teams to ensure data integrity and reporting.

Responsible for utilizing Hortonworks architecture and tools such as Hadoop and Spark for data analysis and engineering tasks. Candidates should have relevant experience and may be considered for contract-to-hire roles.

The role involves data validation, using SAS for database queries, and improving processes based on data insights. Requires keen attention to detail and initiative.

The Lead Data Analyst collects, cleans, and interprets data, creates data models, and ensures data quality while leading efforts in data analysis and governance.

The SQL Data Analyst will develop BI solutions, create scalable reports, and work with SQL Server and Microsoft BI technologies to enhance data visualization and analysis for clients.

The Data Analyst will analyze business data requirements, perform data validation, document source to target mappings, and collaborate on data integration processes.

The SAS Data Analyst will perform data validation, statistical modeling, and analytics primarily within the mortgage industry, requiring extensive SAS expertise and SQL skills.

The Data Analyst will analyze data to support operational capabilities, conduct data quality assessments, and lead data mapping efforts for a new enterprise data platform.