Top Data Analyst Jobs

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

This role involves data preparation, analysis, visualization, project management, and collaboration with marketing teams to drive data-informed strategies and insights for business growth.

The Data Analyst role involves utilizing SQL and Python for data integration, analyzing national security issues, and presenting insights to clients, requiring travel to client sites.

Lead complex analytics and executive reporting for Wealth Management leadership. Partner with stakeholders to translate business questions into analyses, develop dashboards and presentations, validate data and methods, advance self-service and AI-enabled analytics, and mentor peers while supporting high-visibility leadership initiatives.

Provide 24/7 completions data support: enter and QAQC frac and wireline data, build and maintain dashboards, communicate with customers, test staging systems, produce daily reports, identify anomalies, and improve operational procedures.

Support hypersonic vehicle test programs by collecting, cleaning, analyzing, and visualizing test data; develop test plans and analysis methodologies; participate in design and readiness reviews; coordinate with engineering teams and customers; and support test execution and post-test data reviews.

Design, build, and maintain Power BI data models and interactive dashboards; support migration from Tableau to Power BI; execute complex SQL queries and statistical analyses (Python/R); ensure data quality, governance, and RLS; partner with school leaders and stakeholders to deliver insights, trainings, and prioritized analytics; collaborate with Data Systems on ETL/warehouse improvements and contribute to team documentation and professional development.

Build and maintain Power BI dashboards and reports, run SQL-based analyses in Snowflake, analyze DTC channel and campaign performance, design and evaluate experiments (A/B, geo-lift), ensure data quality and ETL support, and deliver actionable marketing insights to cross-functional stakeholders.

Design, connect, and maintain data pipelines and architectures across multiple systems. Sync and map disparate datasets (using Palantir Foundry, Advana, Databricks, APIs), build Power BI dashboards and KPIs, ensure data quality and documentation, develop Power Automate flows, and collaborate with external DB admins and analysts to produce actionable insights.

The Quality Data Analyst collects and analyzes quality data to improve manufacturing performance. They support QC and QA teams by generating reports, monitoring metrics, and collaborating on process improvements.

Provide data-quality management and engineering technician support for Wells Servicing. Perform well-history reviews, wellbore schematic management, AFE routing, and ad hoc analysis. Define requirements, build and maintain Power BI dashboards, develop analytics solutions, and communicate findings. Maintain documentation for data processes, models, and reports.

Support Transit Development planning by analyzing transit-related datasets to evaluate and monitor Transit Signal Priority corridors, coordinate analytics with internal and external partners (including MTA), and perform data-driven prioritization for transit projects such as real-time passenger information, automated enforcement, shelters, and stops.

Support Transit Development's Planning & Policy team by performing data analysis for the Transit Signal Priority (TSP) program. Collaborate with agency and MTA staff to develop and evaluate priority corridors, monitor corridor performance, identify improvements, and perform related analyses for Real Time Passenger Information, automated enforcement, bus shelters/stops, and transit prioritization projects.

Retrieve, validate, analyze, and visualize business, medical, financial, and operational data to identify trends, support decision-making, build reports and repositories, and recommend process improvements.

Retrieve, clean, integrate and analyze business, medical, operational, financial and customer data to produce reports, visualizations and insights. Identify trends, perform root cause analysis, support ad-hoc reporting and reporting process development, and consult with stakeholders to support decision making and process improvement.

Design, build, and maintain Power BI reports and dashboards on Microsoft Fabric; create/optimize DAX measures; model data; enforce row- and object-level security; validate data quality; enable self-service datasets; collaborate with stakeholders and use AI tools to accelerate analysis.

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.

Analyze producers' books using internal and external data to identify cross-sell leads and trends. Generate Power BI/Excel reports, apply data mining and AI methods to surface opportunities, and collaborate with producers and national/regional teams to drive cross-selling initiatives and recommendations.

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.

Lead analytics for lead intelligence and revenue optimization: develop forecasting, modeling, and simulation to prioritize lead inventory, recommend allocation rules, build KPIs, and partner cross-functionally to implement rules and drive revenue outcomes.

Support outbound Care Advocate team by collecting, compiling, and validating operational data from CRM and contact center tools. Build and maintain dashboards and recurring reports, analyze performance and trends, deliver insights to leadership, handle ad hoc analyses, document processes and data definitions, and help improve reporting infrastructure and workflows.

Partner with cross-functional teams to design experiments, analyze large datasets, build dashboards and metrics, identify trends and customer behaviors, improve data quality and instrumentation, and provide actionable recommendations that drive strategic decisions and operational improvements.

Work across data infrastructure and analytics: build and maintain dbt models, ingest and transform data, create dashboards and semantic layers in Power BI, validate AI-generated code, partner with stakeholders to deliver analyses and data products, and improve data governance and documentation.

Transform clinical, operational, and financial data from EHR, PM, and oncology systems into dashboards and reports. Build and maintain ETL pipelines and standardized datasets, analyze revenue cycle, clinical quality, and service-line performance, and deliver actionable insights to physicians, executives, and operational teams to improve efficiency, financial outcomes, and patient care.

Design, deliver, and support Power BI and Power Platform analytics for commodity trading and shipping. Partner with traders and stakeholders to gather requirements, build datasets, reports, automation, and governance. Optimize report performance, document data models, provide training, and promote BI adoption to enable data-driven trading decisions.