Top Data Analyst Jobs

The Data Operations Analyst at Revecore will manage data operations, troubleshoot issues, and optimize data pipelines while collaborating with Data Engineering.

Support and administer the enterprise data governance framework by partnering with business, IT, and risk teams to define critical data elements, maintain metadata and lineage, monitor and remediate data quality issues, document governance standards, prepare governance materials, and support audits and reporting to improve data consistency, accountability, and compliance.

Develop and maintain labor market taxonomies and classifications; analyze large unstructured datasets to identify patterns; integrate taxonomies with data models; support data governance, migration, and cross-functional projects; monitor taxonomy best practices and contribute to data quality and consistency.

Collect, clean, and transform data from multiple sources; build data pipelines, models, and statistical analyses; design interactive dashboards and visualizations (Tableau/Power BI); communicate insights to stakeholders; maintain data dictionaries and adhere to governance and security.

Support development of the agency's impact measurement framework by building dashboards and reporting tools, designing and programming surveys, conducting descriptive, inferential, and predictive analyses, creating visualizations and reports for executive audiences, and establishing data governance and SOPs across teams.

The Data & AI Analyst will manage customer data migrations, enhance internal tools, build reporting solutions, and collaborate on data quality with engineering.

The Data Business Analyst will lead data-related projects, ensure data integrity, manage cross-functional teams, and deliver reports while maintaining Salesforce data accuracy.

The Data Business Analyst will lead data integrity projects, manage cross-functional teams, ensure data accuracy in Salesforce, and deliver reports to stakeholders.

The Data Business Analyst will manage data integrity initiatives, lead project teams, and ensure accurate data processes, primarily using Salesforce.

Validate and assure enterprise data quality across source systems, ETL/ELT pipelines, data warehouses, and reporting. Investigate production incidents, design test strategies and automated validation, perform regression and non-functional testing, analyze data quality metrics, support compliance/audit activities, and collaborate with engineering and business stakeholders to improve data governance and controls.

Lead data quality and governance for a markets domain: identify and prioritise critical data elements, define quality requirements and controls, investigate and remediate complex data issues, partner with business and technology stakeholders, maintain governance documentation, and shape repeatable operating models across the Markets Data Office.

Work with business stakeholders, data owners, and tech teams to define and govern critical market data. Identify and document CDAs/CDEs, analyse data quality, define rules and thresholds, monitor quality outputs, drive remediation, and implement data governance practices and clear documentation.

Support design, delivery, and enhancement of insurance data products. Elicit and document requirements, create user stories and data mappings, validate data using SQL, support data pipelines and UAT, resolve data issues, and contribute to data quality, governance, and documentation.

Design, build, and maintain data pipelines, dashboards, and predictive models. Analyze large datasets to generate actionable insights, collaborate with stakeholders, ensure data quality and governance, and document/share analytics best practices to support Marketing, Product, Operations, and Workforce teams.

Lead analytics for enterprise systems to convert operational data into actionable insights. Build automated reports, dashboards, and data pipelines using SQL, Python, Snowflake, and BI tools. Partner with Manufacturing, Finance, and Engineering to analyze production drivers, support regulatory and financial reporting, improve data QC, and document data tools and workflows.

Analyze portfolio-level organic search performance to identify trends and opportunities, build dashboards and benchmarks, define KPIs, evaluate strategy and product impacts, partner with Product/Data/Engineering, and translate insights into clear recommendations for technical and non-technical stakeholders.

Lead revenue analytics for GTM: own annual operating plan and weekly forecast, build propensity/churn/expansion models, architect the revenue data warehouse and identity resolution, define TAM/ICP, leverage AI to automate insights, and partner cross-functionally to maintain single-source-of-truth revenue metrics.

The Growth & Development Analyst role involves deal origination, market research, financial analysis, and execution in data center development, focusing on financial modeling and strategic insights.

The Senior Analyst will support Data Governance policies, document procedures, collaborate with stakeholders, and assist in training and audits.

The Senior Analyst will support data risk assessments, translate data governance standards into practical tools, and enhance integration of data controls in critical business processes.

The ERP Data Analytics and Reporting Analyst handles requirements gathering, report configuration, and post-implementation support for the ERP system.

Drive Data Governance requirements, analyze and validate data, collaborate with stakeholders, and maintain Data Governance artifacts using SQL and Informatica tools.

The Data Systems Analyst oversees data onboarding into the cloud platform, monitors data quality, communicates needs, and leads training on data specifications.

The Senior Data Analyst transforms data into insights to guide business decisions, conducts analyses, and improves data collection systems.

The role involves leading metadata catalog operations, configuring platforms for data quality, governance workflows, and semantic search implementation, while collaborating with engineering teams and managing stakeholder communication.