Top Data Analyst Jobs in Charlotte

Paid, full-time summer internship analyzing customer communication data, optimizing customer touchpoints, identifying message overlap with SQL, and building interactive Tableau dashboards. The intern will help reduce over-messaging, improve customer journeys, participate in professional development and networking activities, and collaborate with departmental teams and an intern cohort.

Serves as an enterprise architecture subject matter expert within a DoD environment. Supports DoD Business Enterprise Architecture initiatives, business process alignment, enterprise strategy, stakeholder analysis, requirements documentation, reporting, and project activities using MEGA HOPEX and Microsoft Office tools.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Experienced data analyst supporting cloud analytics modernization, migration from on-premises platforms, data governance, production troubleshooting, and marketing data platform operations. The role provides technical consultation on cloud tools and architecture, coordinates stakeholders and engineering teams, improves data quality and reliability, and develops monitoring, controls, documentation, and best practices for analytics workloads.

Leads advanced data analysis projects, integrates and curates diverse datasets, develops automated reporting and dashboards, applies statistical and emerging AI-enabled analytics, and translates complex findings into actionable business recommendations. The role also mentors junior analysts, manages recurring reporting processes, validates analytical approaches, and supports strategic innovation initiatives.

Lead analytics engagements supporting digital products and client experience improvement. Translate business objectives into analytical approaches, manage and validate data assets, deliver insights and recommendations, visualize findings, measure feature and initiative impact, and improve reporting and measurement processes. Partner with product, technology, UX, and business stakeholders while mentoring peers and advancing analytics capabilities.

Analyzes website and digital marketing performance data, builds dashboards and reports, supports tracking implementation, and evaluates A/B and multivariate tests. The role identifies customer behavior trends, conversion opportunities, and digital performance insights, translating complex analyses into actionable recommendations for Marketing, Product, Engineering, agencies, and leadership.

Executes audit data analytics to identify anomalies, trends, risks, and control issues. Develops analysis, dashboards, visualizations, reporting, and automation solutions using SQL or SAS. Validates and documents data methodologies, communicates findings and recommendations to audit teams and management, and supports business decisions and internal audit objectives.

Analyzes enterprise fraud data across deposits, digital, payments, authentication, and account lifecycle domains. Evaluates fraud decisioning, alerts, losses, false positives, customer friction, queue performance, and operational efficiency. Develops measurement frameworks, dashboards, performance metrics, and executive insights; conducts root-cause and trend analysis; quantifies benefits, risks, costs, and tradeoffs; and partners with Fraud Strategy, Risk, Operations, Technology, and AI/ML teams to improve fraud controls and prioritize investments.

Analyze and transform cloud data using SQL, dbt, and Google Cloud; build automated pipelines, data visualizations, validation checks, unit tests, monitoring, and alerts. Partner with engineering teams and enterprise insurance clients to improve data quality, governance, automation, and decision-making. Communicate insights clearly, document technical work, develop insurance domain expertise, and contribute to collaborative reviews and on-call support.

Analyze technology spending, cost drivers, portfolio performance, operational metrics, and technology initiatives. Develop executive dashboards and reporting, synthesize complex data into actionable insights, monitor risks and dependencies, and support governance, planning, and decision-making. Partner with technology, finance, and business stakeholders while contributing cybersecurity knowledge, financial analysis, and technology governance expertise.

Entry-level Data Analyst supporting Performance & Analytics for care operations. Build, validate, and QA recurring reports and dashboards (Retool/BI tools), pull and clean payer, clinical, and operational data, investigate discrepancies, maintain workflows and reporting-ready datasets, and support ad-hoc analytical priorities.

Support Items Master Data Management by collecting, cleansing, and analyzing supply chain product, contract, and pricing data. Build SQL-based reports and dashboards, ensure data quality and governance, support system implementations and migrations, and collaborate cross-functionally to drive standardization and operational improvements.

The Data Analyst/Programmer II designs and codes software solutions, analyzes large datasets, creates data visualizations and KPI dashboards, performs statistical investigations and root cause analysis, and collaborates with data engineers, architects, scientists, and stakeholders. The role supports Microsoft Azure Cloud and PowerApps solutions and requires SQL programming knowledge and proficiency with Power BI and SharePoint.

Leads clinical outcomes and client experience measurement, administering survey platforms, consolidating data, developing calculation methodologies, and building scorecards and recurring reports. Analyzes trends and provider network performance to identify quality improvements, operational efficiencies, and actionable insights. Collaborates on clinical research, white papers, thought leadership, and continuous improvement initiatives while communicating data limitations and recommendations to clinical and business stakeholders.

Loads and validates hospital chargemaster and healthcare data into SQL databases using Excel templates and proprietary tools. Maintains databases, retrieves CMS data, prepares spreadsheets and reports, tracks client tasks, and supports financial analytics. Collaborates closely with clients and internal teams to ensure accurate, timely deliverables and provides client support. Requires knowledge of chargemaster elements, healthcare financial and patient accounting data, EHR systems, SQL, and advanced Excel proficiency.

Collects, organizes, cleans, and analyzes business data; reviews data accuracy and completeness; prepares reports, dashboards, and summaries; identifies trends supporting business decisions; and maintains spreadsheets and databases. The role is fully remote, includes paid training, and requires strong communication, organization, attention to detail, and independent work capability.

Transforms enterprise IT operations, monitoring, KPI, and performance data into executive dashboards, heatmaps, trend analyses, forecasts, anomaly detection, and narrative insights. Integrates data from monitoring, ticketing, incident, and operational systems; develops standardized reporting templates; documents analytical workflows; and collaborates with engineering, service desk, cybersecurity, and PMO teams to support federal reporting and leadership decisions.

Develop KPI frameworks, track SLA performance, analyze operational data and alerts, and produce recurring reports for a federal and DoD-aligned mission environment. Validate and reconcile data across sources, support dashboard and engineering teams, identify trends and anomalies, and provide actionable insights and executive summaries. The role also maintains reporting standards, documents analytical processes, and supports operational and leadership decisions.

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.

Analyzes platform usage, client growth, query performance, infrastructure capacity, and cloud/AI costs. Builds scaling scenarios, monitors AWS and GCP utilization, identifies anomalies and waste, owns product analytics reporting, and partners with Engineering and Product on database scaling decisions. The role also documents optimization results, capacity thresholds, vendor utilization, and model assumptions while translating technical findings for business stakeholders.

Provides analytical support to Carrier and Sales Center teams by developing datasets, dashboards, KPIs, forecasting models, financial reports, and actionable business insights. Responsibilities include stakeholder requirements gathering, data modeling, SQL analysis, visualization, P&L reporting, performance tracking, and communicating recommendations to management. The role also supports strategic initiatives, operational improvements, and end-to-end analytics projects using BI tools.

Analyzes, validates, and maintains Army MEDCOM facilities and real property data; supports dashboards, reporting, data integration, quality assurance, process improvement, documentation, training, and stakeholder deliverables. The role identifies data discrepancies, develops recommendations, provides technical support, and assists with Medical Readiness and Facility Investment Plan requirements. Periodic travel to project sites, meetings, training, and data collection locations may be required.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.