Top Data Analyst Jobs

Produce operational, financial, and clinical analytics and dashboards to inform management decisions. Build and maintain analytics tools, ETL processes, and data models, mentor team members, and support system implementations while promoting data-driven decision making and aligning deliverables with strategic KPIs.

Provide enterprise analytics expertise supporting reports, dashboards, and analytic tools. Coordinate and complete analytical requests via ServiceNow, resolve complex technical issues, participate in projects and decision-making, transfer knowledge to peers, and ensure standardized development and high customer service.

Lead execution of enterprise data governance: cataloging, classification, metadata enrichment, investigating data quality issues, improving governance processes and workflows, enabling data stewards, supporting governance platforms (Collibra), and collaborating cross-functionally to increase data quality, usability, and trust.

Partner with Finance, Accounting, Supply Chain, and Operations to build, automate, and maintain sales, cost, and shipping reports across regions. Develop SQL/BigQuery queries, analyze carrier rates and landed costs, maintain COGS and P&L models, automate recurring reporting, respond to ad-hoc analysis requests, and recommend process improvements.

Design and deliver advanced Power BI dashboards and data models, perform strategic and ad hoc analyses, automate large dataset processing using SQL/BigQuery/Alteryx, analyze campaign and business performance, ensure data quality, partner with stakeholders and present insights to technical and non-technical audiences, and support cloud-based analytics on GCP.

Collect, clean, and analyze data to support business decisions; build dashboards and reports; identify trends and insights; and present findings to stakeholders. Maintain attention to detail and apply problem-solving to derive actionable recommendations.

Owner of data quality, dashboards, KPIs, and participation forecasting for the museum. Produces grant/fundraising data, responds to ad-hoc requests, partners with departments and IT, and analyzes surveys.

Own executive-level reporting and KPI frameworks to provide leadership with timely, accurate insights on growth, revenue, retention, and market health. Monitor performance, surface anomalies, run deep-dive analyses, evaluate product and campaign impacts, build forecasts and scenarios, and partner cross-functionally to reduce manual reporting and translate analysis into actionable recommendations.

Create dashboards, analyze large and spatial datasets, design spatial databases, and deliver BI reporting for PMDS. Build maps and interactive visual tools, optimize queries, collaborate with stakeholders, and support project tracking and performance metrics.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

The Senior Data Analyst will build dashboards, develop ETL pipelines, provide insights on workforce trends, and collaborate with HR and Finance stakeholders.

The Senior Data Analyst will build dashboards, ensure metric quality, and provide insights to support decision-making across teams. Responsibilities include data analysis, problem framing, and collaborating with stakeholders to improve data utilization.

Design and implement analytics and automated data collection for Configuration Status Accounting. Mine and model data from Oracle, Windchill, and TIPQA, produce Power BI visualizations, apply statistical analysis, and recommend process improvements using RCCA and Lean while communicating findings to stakeholders.

Design and implement analytic solutions to transform configuration data into actionable insights. Automate data collection from Oracle, Windchill, and TIPQA, build Power BI visualizations, perform statistical analyses, and recommend process improvements using RCCA and Lean while communicating findings to stakeholders.

Lead configuration management analytics by architecting solutions, automating data collection, and ensuring data integrity. Mine and model data from Oracle, Windchill, and TIPQA, apply statistical methods, build Power BI visualizations, and recommend process improvements using RCCA and Lean to improve workflow efficiency and stakeholder decision-making.

Provide Regional Content Management and GEOINT support. Advise on data delivery methods, analyze data for enhancements, and develop workflows. Present instruction on GEOINT usage and maintain map services using ESRI Portal technology.

The role involves developing BI solutions, managing data processing pipelines, providing application support, and ensuring data governance and compliance.

As a Senior Data Analyst, you will analyze complex data, mentor junior analysts, develop AI-based tools, and ensure data integrity while collaborating with cross-functional teams to drive insights and strategic decisions.

The Data Analyst will work on data analysis, visualization, clean data processing, and support data-driven decisions at NSWC Corona.

As a Data Analyst Intern, you will assist with data management, eDiscovery processes, and perform quality testing to ensure data accuracy.

The Lead Data Analyst will oversee marketplace analytics, define operational metrics, clean data, conduct user behavior analysis, and partner with leadership to drive product strategy and revenue growth.

The Business Data Analyst will analyze data, generate insights, assess impacts, and recommend actions using data visualization and storytelling techniques. They will collaborate with stakeholders and assist in implementing changes based on data findings.

As a Senior Data Operations Analyst, you'll manage and analyze data operations, ensuring quality data flows, troubleshooting processes, and collaborating with teams to enhance data integrity and reporting.

The Senior Imagery Analyst will perform quality validation on geospatial imagery, mentor junior analysts, drive improvements in annotation workflows, and ensure data quality for AI/ML development.

The Python Data Analyst will contribute to application systems analysis, manage project implementations, and provide user support while utilizing programming solutions to improve business processes.