Top Data Analyst Jobs

Support Community Case Management by extracting, entering, cleaning, and organizing data from multiple sources. Maintain spreadsheets and databases, create and deliver timely reports and presentations, implement tracking systems, verify data accuracy, and assist program staff with data-related needs.

Support and sustain data governance practices across data quality, metadata, standards, and lifecycle management. Investigate and resolve data quality issues, maintain metadata/catalog and lineage, track governance decisions, validate data integrations, and assist compliance activities for Medicare Advantage operations.

Support collection, analysis, interpretation, and presentation of education and workforce data. Conduct descriptive and applied statistical analyses, build visualizations and dashboards, communicate findings to stakeholders, and collaborate across teams to inform decisions and improve student outcomes.

Lead data governance activities including profiling, metadata population, data quality remediation, and standards enforcement. Work cross-functionally to implement Informatica-based cataloging and protection, automate data protection, deliver training, and recommend improvements to data quality, standardization, and transformation.

Lead day-to-day management of multi-year data projects (Neighborhood Vitality Index, Hope Starts Here). Conduct quantitative and qualitative analysis, design and analyze surveys, coordinate with external partners and internal teams, perform stakeholder outreach and engagement, and produce accessible data products and communications for non-technical audiences to inform decision-making across Detroit-area organizations.

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.

Support OneStream implementation by defining, validating, testing, and stabilizing data flows and interfaces. Perform source-to-target validation, 3-way reconciliation, troubleshoot load failures, support SIT/UAT and cutover, maintain interface documentation, and assist post-go-live stabilization for ERP feeds, GTAS, Advana, and other integrations.

Lead end-to-end analytics work: define core metrics, build reliable data models and pipelines, deliver dashboards and insights, and partner cross-functionally to drive product and business decisions. Mentor stakeholders, document data, and help scale analytics capabilities on an event-driven platform.

Lead retention and SaaS analytics by building metrics, dashboards, and data models to identify drivers of churn and adoption. Partner cross-functionally to measure retention initiatives, automate analyses, and deliver actionable insights that influence executive decisions and improve merchant outcomes.

Maintain and manage master data (customer, supplier, product); analyze data quality and perform profiling; support data cleansing, migration, integration, and MDM initiatives; collaborate with IT and business teams; and develop training and user support for MDM processes and tools.

Support enterprise data governance by documenting end-to-end data lineage, designing ADS components, building GCP data pipelines and data quality controls, contributing to data modeling and target-state design, and acting as a bridge between engineering, enterprise architecture, and business stakeholders while presenting findings to senior leadership.

Partner with senior leaders across marketing, sales, product, and CX to identify opportunities, analyze data, produce data-driven recommendations, build dashboards and tools, run experiments, and implement initiatives that grow the business.

Partner with senior leaders across Marketing, Sales, Product, and CX to analyze data, identify opportunities, build dashboards, run experiments, and deliver data-driven recommendations that drive business growth and operational improvements.

Build and maintain API-based data pipelines, analyze supply chain metrics, create dashboards and alerts, perform root-cause analysis, define KPIs with stakeholders, and document data models and integrations to improve logistics performance.

The Data Analyst will support a proposal effort and require extensive experience with US Navy project management, needing a minimum of 12 years.

The Data Analyst Intern supports AI initiatives by handling data management, exploratory analysis, AI model support, and creating visualizations to drive actionable insights.

The Principal Data Analyst partners with leadership to translate data into insights, drive strategic decisions, and enhance operational efficiency through advanced analytics and Power BI expertise.

As a Data Analyst, you'll collect and preprocess datasets, perform feature engineering, and collaborate on data pipelines while generating insights through reports and visualizations.

The Splunk Data Analyst will design and maintain Splunk dashboards, optimize SPL queries, and support data visualization and analytics efforts. This role requires collaboration with the Data Analytics team and delivering high-visibility solutions to stakeholders.

The Data Analyst will analyze laboratory performance and STEM programs, respond to client data requests, utilize data platforms, ensure data quality, and develop visual data insights to inform policy decisions.

Maintain data quality and build automated reports using Microsoft SQL tools, SSRS, and SSIS. Support client implementations, test data exchanges, streamline processes, and produce clear technical/user documentation while responding to internal and client requests.

Support data and process synchronization across Salesforce, CDH, OPH, ETM, C2O, and Mulesoft. Perform data mapping, integrity/quality audits, SQL/SOQL data comparisons, data testing, and governance. Manage cross-functional projects using Agile and JIRA, coordinate data loads, document processes, and report gaps to stakeholders.

Responsible for troubleshooting escalated data issues, resolving data discrepancies, monitoring ETL jobs, performing data engineering and development work (20-25% time), automating operational tasks, building tabular models and reports, and documenting knowledge for Tier 1/2 support. Must support production issues outside normal hours.

Troubleshoot escalated data issues, resolve data discrepancies, monitor ETL jobs, perform data engineering and development tasks (20-25% effort), build tabular models and reports, document knowledge base, and support production issues including off-hours.

Analyze large medical and pharmacy claims datasets to produce decision-ready insights, build and maintain SQL-based analytical datasets, create visualizations in Tableau, document methodologies, and partner cross-functionally to operationalize sustainable analytics solutions supporting underwriting, product, and operations.