Top Data Analyst Jobs

Validate and troubleshoot clinical data pipelines for PhareOS across HL7, FHIR, and standardized Databricks/dbt layers. Execute complex SQL validations, trace HL7-to-FHIR transformations end-to-end, investigate and remediate data quality issues, build Databricks queries/notebooks, and collaborate with engineering, product, clinical, and vendor teams to ensure production-ready client data and successful go-lives.

Maintain and ensure accuracy of legislative and political data; build ingestion pipelines and scrapers; use SQL and LLM tools to query and report; perform day-to-day data quality control, investigate and resolve data issues, research new data sources, and translate findings into actionable insights for cross-functional teams.

Support enterprise data governance and privacy by processing data-use requests, assessing privacy requirements, and collaborating with legal, security, risk, and IT stakeholders. Use analytics and database tools to extract and analyze data, support GDPR/CCPA compliance and audits, define privacy safeguards, and improve governance processes while managing multiple workstreams and maintaining clear documentation.

Lead development of scalable revenue analytics, data-validation frameworks, and predictive models to improve forecasting, detect anomalies, reconcile operational and financial revenue measures, and deliver auditable executive reporting. Partner with Finance, Sales, and Operations to standardize definitions, automate controls, and provide actionable insights supporting planning, incentives, and revenue growth.

Embed with Marketing, Commercial, and Growth teams to analyze customer behavior, define KPI frameworks, build dashboards and self-service reporting, translate analyses into recommendations, monitor performance, improve data quality, and automate recurring reporting using AI-enabled workflows to drive Platform 2 growth.

Prepare, clean, and reconcile high-volume financial and property datasets into master Excel workbooks. Build and maintain advanced Excel models and VBA macros to automate processes, generate regular portfolio performance reports, identify data variances, and recommend strategic improvements. Collaborate with operations and finance and ensure absolute data accuracy under tight, seasonal deadlines.

The Senior Data Analyst will analyze complex datasets to provide insights, create visualizations, and support decision-making across multiple projects.

The Business System Specialist will manage LIMS master data, provide end-user support, ensure compliance, and assist in process development for lab data management.

Design, develop, and maintain multifamily analytics, Power BI dashboards, and SQL-based reports. Ensure data accuracy and governance, automate reporting, support core multifamily systems, produce technical documentation, perform ad hoc analysis, and collaborate with cross-functional teams to deliver actionable insights.

Own end-to-end API integrations (ingest and export) for customer data into CoStar Debt Solutions: scoping, credentialing, mapping, reliability, monitoring, and customer support. Build production-grade REST/GraphQL/webhook pipelines, scripts for transform/validation, and evolve integrations into agent-callable typed contracts.

The role involves coordinating systems analysis and design projects, leading Agile workboards, and acting as a liaison between business units and technical teams to improve data systems through automation.

The role involves technical project management, data strategy, and vendor management, focusing on delivering data solutions for CPG and Retail clients.

The Senior Analyst, Data Analytics manages data pipelines and analytical models, delivering analytics and reporting to stakeholders. This role involves translating business needs into data requirements, building automated ETL processes, and ensuring data quality and governance.

Senior Data Analysts at Govini develop methodologies using data to solve client problems, communicate insights, and support software implementation in national security.

The Senior Analyst supports Oracle Cloud ERP enhancements and Finance applications, conducts impact analysis, and fosters relationships with teams while providing operational support.

The Sr Data Governance, Data Quality Analyst will lead data governance efforts, manage data quality processes, and collaborate across departments to enhance data usage and literacy within the Workforce Benefits Division.

Own analysis, validation, and documentation of enterprise platform workflows and data inputs. Define test strategies, lead functional/regression validation, approve configuration changes, and drive remediation. Partner with engineering/product to ensure platform reliability, data quality, and release readiness while applying AI-enabled tools to improve efficiency.

Lead advanced analytics and predictive modeling for readiness-based sparing and sustainment decisions supporting Navy and DoD programs. Translate business needs into analytical frameworks, build predictive/diagnostic models, ensure data governance and pipeline integrity, mentor junior analysts, document technical processes, and communicate findings to executive stakeholders.

Design, build, and maintain reporting solutions to support business decisions. Collect, validate, interpret, and organize data; improve report reliability and efficiency; gather requirements and prioritize requests; recommend data and system improvements; train users; and perform other reporting and BI-related duties.

Develop and automate reports and dashboards from data warehouse and Salesforce using Excel, SQL, Tableau, Python, and Snowflake. Analyze trends, apply statistical methods, identify anomalies, QA deliverables, collaborate with client-facing teams, manage data quality and mappings, document processes, test tools, and lead client trainings on data specifications.

Analyze Construction & Design Services project data to produce reports, dashboards, and predictive/prescriptive models. Build data pipelines and models, mine large datasets, collaborate with IT and stakeholders, support data governance, respond to ad-hoc requests, and improve decision-making through visualization and analytics.

Support a statewide Informatica MDM program by performing SQL-based data profiling, validation, testing, and reconciliation. Analyze matching and survivorship issues, document findings and remediation, gather business and technical requirements, support UAT/QA, and assist data governance and stewardship to improve cross-agency data quality and MDM operations.

Perform end-to-end data migrations for banks and credit unions: analyze donor systems, define requirements, map and transform data with SQL, validate conversions, reconcile results, resolve data issues, and build reusable automation and AI-assisted tools to improve migration speed and accuracy while supporting multiple client engagements.

Lead development and execution of enterprise data governance strategies for USMS, improving discoverability, interoperability, metadata management, data quality, lineage, classification, and compliance with federal data mandates while advising senior leaders.

Design and maintain enablement resources that help data and analytics practitioners discover assets, adopt tools, and develop skills. Build ownership directories, onboarding content, sample code, and training materials. Partner with platform teams, governance, and stakeholders to validate guidance, drive adoption, run technical events (datathons, workshops), and improve the practitioner experience across the enterprise.