Top Data & Analytics Jobs in Charlotte, NC

Leads reporting and analytics initiatives, develops Power BI dashboards and KPI frameworks, performs trend and root-cause analysis, supports forecasting, and delivers actionable insights to business leaders. Partners cross-functionally to define requirements, improve data governance, validate reporting, and establish scalable standards. Mentors analysts and guides complex analytics workstreams while remaining hands-on with report development, SQL data extraction, documentation, and performance measurement.

Analyze credit card business performance, customer and product trends, marketing outcomes, risk, and operational efficiency. Build queries, models, and dashboards; evaluate P&L initiatives and business cases; identify risks and growth opportunities; and translate insights into actionable strategies. The role partners with marketing, finance, analytics, risk, product, technology, and operations stakeholders to support strategic decisions and measurable business outcomes.

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

Senior Business Analyst bridging healthcare business needs and technology teams. Responsibilities include gathering requirements, facilitating stakeholder sessions, creating business and data documentation, supporting EDW data integration and quality initiatives, performing gap analysis, assisting UAT, and ensuring healthcare data governance and regulatory compliance.

Analyzes account portfolio whitespace, pipeline, deal performance, campaign attribution, rep productivity, budgets, forecasts, and expenses. Builds models and executive reporting to improve revenue planning, forecast accuracy, and account management decisions. Partners with Account Management, Finance, Marketing, Contract Administration, and regional leaders; validates Salesforce data and translates complex findings into actionable recommendations.

Analyze internal processes, data, and business problems; collaborate on multifunctional projects; identify improvement opportunities and benefits from new capabilities; and develop practical solutions that improve Cisco’s operations and collaboration. The role is intended for students enrolled in a degree or workforce development program in business, supply chain, communications, mathematics, finance, industrial engineering, statistics, or a related field.

Owns specialty pharmacy data-partner specification negotiations, data mapping, Ascend platform configuration, internal QA, defect resolution, and UAT readiness across multiple implementations. The role evaluates standard versus custom data requirements, coordinates with delivery, engagement, product, and engineering teams, maintains data dictionaries and implementation documentation, supports schema normalization, and develops repeatable testing and onboarding processes. It is primarily remote with occasional travel.

Analyzes claims data to identify trends, anomalies, root causes, cost drivers, and operational inefficiencies. Partners with claims, quality assurance, SIU, finance, and leadership teams to define analytical requirements, develop recommendations, improve claims handling, reduce risk, and enhance efficiency. Presents actionable findings to technical and non-technical stakeholders, including adjusters, managers, and executives.

Supports leadership by analyzing business processes, systems, technologies, and operational data to identify improvement opportunities. Maintains and configures business systems, provides second-level technical support, conducts audits, develops reports, validates data, and evaluates workflows. The role acts as a subject matter expert, guides technology adoption, leads initiatives, mentors junior staff, and collaborates across departments to improve efficiency and performance.

Lead analytics projects using pharmacy and medical claims data to develop reports, visualizations, compliance controls, and actionable business insights. Collaborate with stakeholders and clients on project scoping, reporting methodologies, plan management recommendations, and data-driven decisions. Maintain query documentation, ensure data integrity, support regulatory requirements, and mentor team members. The role also identifies process optimization and automation opportunities while presenting findings to operational and executive audiences.

Provides quantitative and qualitative analysis to inform business-unit strategy, evaluate market and industry trends, develop analytical frameworks, assess P&L performance and risks, and translate complex data into actionable recommendations for senior leaders. Collaborates with stakeholders on strategic hypotheses, business questions, outcome measures, prioritization, and decision-making. May guide team members and support risk and compliance activities.

Develops and optimizes Power BI dashboards, semantic models, DAX measures, and enterprise reporting for project, financial, and business development performance. Analyzes ERP data, KPIs, revenue, margins, backlog, WIP, forecasting, and client trends. Ensures data integrity, supports automated reporting workflows, performs scenario analysis, and translates findings into actionable insights for executives and cross-functional teams.

Own analytical projects supporting revenue, profitability, and operational performance for the insurance business. Analyze funnels, campaigns, conversions, costs, and trends; build SQL queries and Looker dashboards; automate reporting with Python; define KPIs; validate data; and present actionable recommendations to stakeholders and leadership.

Evaluates and compares chatbot responses against business requirements and quality criteria. Gathers requirements, documents functional specifications, analyzes workflows and data, creates reports and dashboards, supports testing and UAT, tracks project risks and KPIs, and presents evidence-based findings. Collaborates with technical teams and stakeholders to improve AI output quality while maintaining evaluation consistency and meeting deadlines.

Reviews and compares AI chatbot responses using predefined criteria for accuracy, relevance, completeness, clarity, consistency, and quality. Documents evaluation guidelines, analyzes workflows and data, identifies recurring issues, prepares reports, tracks quality metrics, and collaborates with project teams. This fully remote, 16-week contract requires 8 hours per day, five days per week, with Pacific Time overlap and possible weekend work.

Lead discovery and requirements gathering for credit union data and reporting initiatives. Map core banking and ancillary system data, define regulatory reporting logic and controls, specify executive dashboards, validate outputs, and drive adoption. Partner with credit union stakeholders and engineers to deliver data products addressing member growth, lending, deposits, risk, compliance, and marketing performance. Contribute domain expertise to reusable use cases, demonstrations, and prospect conversations.

Owns monthly sales crediting, inforce, financial, and industry reporting for Employee Benefits. Reviews and reconciles data, investigates discrepancies, maintains legacy reporting tools, supports audits and testing, summarizes results for stakeholders, and partners with actuarial, sales operations, underwriting, billing, and IT teams. The role also improves reporting processes, documents business rules, and supports data warehouse enhancements.

Build and maintain Power BI reports, dashboards, semantic models, and operational analyses for warehouse and eCommerce operations. Use DAX, Power Query, SQL, and data modeling to analyze productivity, labor, capacity, service, and performance drivers. Establish KPI definitions, validate data quality, automate reporting, monitor refreshes, and translate findings into recommendations. Partner with Operations, Finance, IT, and Data Engineering, document reporting processes, train users, and support business reviews.

Business Analyst Advisor aligns technology and business strategies through reporting, forecasting, data modeling, visualization, metrics, and analytical solutions. The role develops and maintains reports and models, performs variance analysis, creates ad hoc queries, improves processes, standardizes data definitions, and supports technology solutions that enhance controls, efficiency, data quality, and decision-making. It partners with business and technical teams to promote trusted, self-service analytics and user adoption.

Analyzes data from multiple sources to identify trends, develop member segmentation and lifecycle models, support competitive analysis, and recommend strategies for improving member participation and financial products. Builds reports, dashboards, and data-driven tools for leaders and staff, collaborates with stakeholders, trains power users, and provides ongoing analytical support using SQL, R or Python, ETL, data modeling, and business intelligence tools.

Analyze business data, build and maintain business models, provide actionable insights and reports, collaborate with cross-functional teams, monitor performance, and recommend efficiency improvements to support strategic decision-making.

Owns Power BI reporting and analytics for Digital, including internal dashboards, campaign pacing, client-facing intelligence products, contact data health, and data delivery monitoring. Builds DAX reporting logic, automated alerts, budget tracking, segmentation, benchmarking, and trend analysis. Partners with IT, Data Engineering, CRM, and audience teams while transitioning an externally developed platform in-house. Serves as the senior reporting subject matter expert for stakeholder and client-facing analytics.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Analyze banking and financial crime data, develop and tune statistical and machine learning classification models, evaluate model performance, identify data quality issues, and recommend optimization strategies. The role uses Python and SQL for feature engineering, statistical modeling, automation, and large-scale data processing. Responsibilities also include documenting methodologies, reporting results to management and regulators, and collaborating with compliance, technology, business, and model governance teams.

Analyzes business and system requirements, translates them into functional designs, and supports technology enhancements and quality initiatives. Collaborates with stakeholders on project scope, timelines, testing, demos, and implementation. Monitors system usage, investigates errors and exceptions, assists with UAT, tracks project progress, communicates risks, and serves as a technology subject matter expert within the mortgage and secondary market domain.