Top Data Analyst Jobs in Charlotte

Support a book of business by validating, transforming, and reconciling data, managing daily processing and file audits, generating reporting outputs for outreach, creating file configuration specs, resolving discrepancies with stakeholders, and driving process improvements to ensure regulatory compliance and operational efficiency.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

Own and deliver analytics solutions to support operational and financial decisions. Define reporting requirements and KPIs with stakeholders, validate and reconcile data, write and optimize SQL, support ETL pipelines, and develop/maintain Power BI dashboards to produce actionable insights for Revenue Cycle Management.

Lead complex analytics projects supporting client experience transformation: gather and validate structured and unstructured data, apply advanced analytics and machine learning, produce executive visualizations and recommendations, manage recurring reporting, enforce data quality standards, and mentor other analysts to drive business decisions and improve client outcomes.

Lead end-to-end analytics for Flagship Client and Distribution: partner with stakeholders to frame problems, perform advanced analyses and machine learning, ensure data quality, develop recurring analytics products and executive visualizations, and mentor analysts to drive data-driven decisions.

Build and deliver scalable datasets, reports, and analytical solutions. Partner with stakeholders to define requirements, create and validate datasets, develop SQL/Python pipelines and BigQuery models, produce dashboards and executive insights, resolve data quality issues, and support data warehouse migrations and cross-functional analytics initiatives.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.

The role involves analyzing complex datasets to provide insights, leading analytics projects, ensuring data quality, and mentoring peers. It requires expertise in advanced analytics, machine learning, and data visualization, driving automation for efficiency.

The Data Analyst, Senior Specialist leads complex analytical projects, optimizes data processes, and delivers insights, guiding internal partners and mentoring peers.

The Data Analyst, Specialist leverages data insights for strategic decisions, manages analytical projects, mentors junior analysts, and develops reporting solutions.

Perform end-to-end data analysis and transformation for large-scale P&C insurance datasets. Develop source-to-target mappings, validate and profile data, optimize complex SQL queries, and collaborate with business SMEs and technical teams to ensure data quality, standardization, and accurate technical documentation.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Deliver advanced SQL analyses, build and maintain dashboards and recurring reports, define KPIs, translate findings into executive-ready recommendations, partner cross-functionally, and support automation and reporting improvements.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Support warehouse operations by analyzing performance data, building dashboards and reports, automating recurring reporting, validating data, and providing actionable recommendations to improve productivity, labor utilization, inventory accuracy, and service performance. Partner with operations leadership for staffing, forecasting, and continuous improvement through statistical analysis and ad hoc investigations.

Run funnel audits and synthesize multiple datasets into exec-ready narratives. Recommend and help launch A/B tests, benchmark against genres and market data, partner with game analysts and ETL engineers to validate and maintain clean data, and provide actionable UA, monetization, and live-ops recommendations to customers.

Analyze business questions using SQL and Excel, build dashboards and reports, synthesize findings into clear presentations, and deliver actionable insights to senior stakeholders to drive strategy.

Write and optimize complex SQL to analyze automotive marketing and inventory data; audit and standardize large datasets; investigate CRM/data discrepancies; build and maintain client-facing BI dashboards and reports; perform QA on datasets and reports; collaborate with US reporting team and fulfill ad-hoc data requests.

Perform ad hoc and ongoing data analysis to drive product decisions for CMS: implement and audit web analytics tagging, integrate Qualtrics and other qualitative sources, build dashboards and ETL pipelines, monitor system performance via Datadog, analyze user behavior (including LLM product metrics), and synthesize mixed-methods insights to inform the team.

Support federal clients with organizational assessment, data analytics, and visualization. Develop and implement analytic tools/reports, prepare briefings, maintain SharePoint/Teams, collaborate with stakeholders, manage project tasks, and support implementation of recommendations. Remote role with occasional travel; Power Platform experience preferred.

Partner with business leaders to own core metrics, reporting, and advanced analyses. Build and validate datasets, create executive visualizations, perform driver analysis, time-series forecasting, and apply AI/ML to inform growth and retention strategy. Lead projects, mentor analysts, and support recurring analytic processes.

Partner with business leaders to own core metrics, reporting, and deep-dive analyses. Build and validate complex datasets, perform driver analysis, time-series forecasting and ML solutions, create executive visualizations, manage recurring analytic processes, and mentor analytics teammates.

The Marketing Data Analyst will analyze performance data across marketing and sales channels, develop dashboards, and provide insights to improve customer engagement and ROI.