Top Data Analyst Jobs

Support and analyze data anomalies across Data Warehouse, ODS, replication and ETL environments. Collaborate with Business, DBA and ETL teams to document transformations, assist in production validation, configure data governance/virtualization/MDM solutions, maintain data dictionaries and lineage, and produce complex SQL queries and analysis in an agile team environment.

Own and define operational metrics in BigQuery; validate and monitor data quality; build dashboards, lineage, and tooling; partner with engineering, product, and operations to turn analyses into repeatable KPIs and process improvements.

The Senior Data Analyst will lead data analytics projects, train team members, and research new technologies to enhance data-driven insights for clients.

As a Senior Data Analyst, you will analyze game telemetry data, translate business needs into insights, and guide technical teams. You will also lead exploratory data analysis and maintain data quality practices.

Design, define, and implement data quality management for Customer MDM. Analyze and integrate MDM processes with Sales, Marketing, Support, and Finance systems. Perform data cleansing, standardization, matching/merging, reporting, and statistics using SQL and Excel.

Design, build, tune and maintain enterprise data structures and databases. Gather and document business and technical requirements, perform data profiling, mapping and validation, support ETL and data warehouse implementations, coordinate testing and production rollout, provide ad-hoc datasets and reporting, and participate in data governance and control reporting.

Support Americas Sales and Marketing by performing CRM administrative and audit tasks, executing SAP web-interface tasks, running reports, performing Excel-based analysis and data audits, managing support inboxes, documenting processes, and training/transitioning work to third-party providers.

Manage test data for FACET/healthcare IT systems, provision data across environments, write advanced SQL, work with RDBMS and non-RDBMS/file systems, coordinate with clients and global teams, and support end-to-end TDM solutions.

Work with stakeholders to develop, validate, publish, and maintain logical and physical data models. Evaluate existing models/databases, manage metadata, document models, enforce naming standards, support data quality and governance, and collaborate with BAs, architects, developers and DBAs to meet delivery and quality objectives.

Design, validate, publish, and maintain logical (and some physical) data models. Collaborate with stakeholders, BAs, architects, developers, and DBAs to meet DW/BI objectives, manage metadata, enforce naming standards, support data governance and quality, document models, and validate business use cases.

Design, validate, publish, and maintain logical (and physical) data models. Collaborate with BAs, architects, developers and DBAs, manage metadata, enforce naming standards, support data governance and quality, and document models and processes to meet DW/BI project objectives.

The Data Management and Automation Analyst manages data repositories, conducts analytics, implements system enhancements, and leverages AI to streamline processes while ensuring compliance and data governance.

The Sr. Data Analyst will perform data analysis for a pharmacy project, handle data issues, support data management processes, and assist in ETL development. Strong experience in SQL and healthcare is required.

Perform data quality checks, develop analyses and financial models, implement test plans, audit data integrity, prepare reports and present insights to stakeholders. Support small-to-medium client projects and product implementations, and collaborate across business units to manage parts of project/product lifecycles.

Design and build interactive dashboards and UIs using tools like Qlik Sense, Tableau, or Power BI. Clean, wrangle, and analyze data from warehouses and big-data sources. Define reporting objects, metrics, filters, and visual best practices to deliver actionable insights for DoD clients. Work requires Secret clearance and a bachelor’s degree.

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.

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.

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

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.

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 marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.