Top Data Analyst Jobs in Charlotte

Develop and maintain customer-facing reports, dashboards, data models, and reusable datasets. Use advanced SQL to investigate customer questions, validate metrics, resolve discrepancies, and improve data quality. Partner with Customer Success, Product, Data Science, and Data Engineering to standardize reporting, support QBRs and value realization, and convert recurring analyses into scalable, automated data capabilities.

Analyzes and validates data from internal and external sources to support financial risk analytics and governance. The role monitors data quality, investigates exceptions, prepares reporting and presentations for risk committees and senior management, automates recurring processes, and supports liquidity, interest rate, capital, market, and regulatory risk analysis. It collaborates with Treasury, Balance Sheet Risk Management, data owners, and other risk partners while conducting ad hoc analyses and strategic initiatives.

Leads complex data platform initiatives from discovery through delivery, translating business needs into technical requirements, user stories, and documentation. Partners with business, analytics, engineering, and architecture leaders; facilitates Agile ceremonies; supports roadmap development, data quality standards, root cause analysis, and validation procedures. The role also mentors Business Analysts, establishes documentation and analysis best practices, and represents the data platform team in enterprise planning and change initiatives.

Analyzes pharmacy and medical data by creating complex queries, reports, visualizations, KPIs, and management presentations. Interprets findings, recommends improvements, supports cross-functional projects, documents reporting processes, and trains junior analysts. The role requires extracting data from warehouses using advanced SQL or SAS, synthesizing multiple data sources, and communicating insights in a healthcare environment.

Supports Global Financial Crimes data governance by defining and monitoring data controls for accuracy, completeness, and timeliness. Develops, tests, and deploys SQL-based control rules, validates data movement, analyzes datasets, reports findings, and partners with stakeholders and technology teams to remediate data issues. The role also contributes to product roadmaps, requirements, testing, issue tracking, risk management, and reporting for financial crimes applications and processes.

Monitors, validates, and improves data quality across device, program, operational, and field sources. Designs automated checks, reconciles discrepancies, investigates root causes, documents findings, and communicates impacts and recommendations. Collaborates with analytics, engineering, MEAL, and country teams to resolve issues. Maintains reproducible analyses using SQL, programming, version control, and notebooks while supporting data governance, reporting standards, and responsible handling of sensitive information.

Leads complex data-analysis initiatives supporting reporting, analytics, and operational decisions. Designs and optimizes SQL-based solutions, data models, stored procedures, Power BI reports, dashboards, and governed datasets. Analyzes healthcare and pharmacy benefit management data, resolves data-quality issues, establishes analytical standards, supports regulatory and client reporting, and mentors analysts. Partners with stakeholders to translate ambiguous business needs into scalable analytical approaches and actionable recommendations.

Performs data profiling, quality analysis, governance, metadata and lineage management, and Master Data Management support. Collaborates with data owners, stewards, business stakeholders, and technical teams to resolve issues and improve governance processes. Maintains glossaries, dictionaries, controls, metrics, and reports; supports enterprise data initiatives, communications, training, and stakeholder adoption. Provides guidance to less experienced analysts while applying governance standards and documenting business requirements.

Analyzes claims data to identify trends, patterns, risks, and business opportunities. Retrieves, validates, and prepares data from multiple databases; creates reports, dashboards, visualizations, spreadsheets, and presentations; supports forecasting and reporting needs; collaborates with claims, underwriting, product, IT, and leadership teams; and communicates recommendations for business decisions and process improvements.

Build Python and SQL data pipelines, maintain data integrity, automate dashboards and reporting, and deliver actionable analytics. Develop AI- and LLM-assisted workflows for data enrichment, classification, summarization, and process automation. Support leadership decision-making, sales, customer success, and internal efficiency while communicating insights to nontechnical stakeholders. Evaluate, document, and monitor AI solutions for accuracy, cost, risk, and auditability.

Analyzes marketing data to guide investment decisions, improve campaign performance, segment customers, support A/B testing, and identify conversion opportunities. Builds dashboards and reports, maintains metric definitions and data quality standards, investigates anomalies, and communicates actionable insights to sales, marketing, and global operations partners.

Analyze case, client, and financial data to build Power BI dashboards, executive and client reporting, recurring Excel deliverables, SQL analyses, and lightweight automations. The role investigates discrepancies, supports ad hoc business questions, documents metric definitions, and partners with operations, sales, finance, and leadership to improve reporting and reduce manual work.

Owns the CX Operations data foundation in Snowflake by designing architecture, governance, data quality standards, and reusable dbt models. Leads complex analyses, dashboards, scenario planning, and executive communication while mentoring analysts and partnering with engineering and strategy teams. Supports AI enablement by creating trusted data models, evaluation standards, and agent performance tracking.

Supports a defense aviation modernization program by integrating and analyzing complex program data across cost, schedule, risk, logistics, testing, configuration management, and cybersecurity. Develops dashboards and executive reports, performs KPI and performance analysis, supports program reviews and aircraft integration efforts, tracks test results and corrective actions, and automates reporting processes. Requires extensive DoD or aerospace experience, aircraft modernization expertise, and an active Secret clearance.

Analyzes operational, engineering, logistics, reliability, maintenance, training, supply chain, and program data for a NATO SATCOM support program. Develops executive dashboards, KPIs, scorecards, predictive reports, trend analyses, and risk assessments. Maintains product support databases, validates data integrity, supports reliability and sustainment analyses, and reports on readiness, quality, cost, schedule, and lifecycle performance. Presents actionable recommendations to technical and executive stakeholders.

Loads, queries, validates, and analyzes data; refreshes databases; prepares client reports; identifies automation opportunities; supports UAT, system implementations, and quality assurance; and collaborates with cross-functional teams. The role requires database management, SQL, Oracle, Unix, Python, Power BI, data modeling, and relational database expertise, with opportunities to use scheduling and master data management tools.

Analyze operational data, build and maintain Power BI dashboards, validate data quality, investigate trends and discrepancies, document reporting definitions, and communicate findings to business stakeholders. Partner with IT, data engineering, and analytics teams to resolve data issues and support reliable reporting. Use SQL, Power Query, DAX, Excel, and AI-enabled analytics tools to transform data and inform process improvements.

Develop resource allocation, demand forecasting, and capacity models for Customer Success. Analyze quantitative and qualitative data, identify trends and risks, and translate findings into actionable recommendations. Partner with finance, planning, delivery, and leadership stakeholders to refine assumptions, resolve complex business issues, and support regional implementation. Present insights to senior leaders and manage cross-functional priorities in an ambiguous, fast-paced environment.

Leads enterprise data quality, governance, and data engineering initiatives. Establishes data standards, controls, monitoring, and lifecycle processes; validates and audits data; drives issue remediation; supports ETL integrations and Kafka streaming data; uses Splunk for monitoring and troubleshooting; develops dashboards and metrics; and partners with business and technology teams. The role also provides subject matter expertise, mentors team members, and leads continuous improvement efforts.

Leads complex analytics initiatives for the Consumer Deposits portfolio, owning Net Present Value methodology and models. Translates ambiguous business questions into scalable datasets, analytical products, and actionable insights supporting pricing, marketing, product, customer, and strategic decisions. Partners with senior stakeholders and cross-functional teams, manages projects independently, improves analytical methodologies and governance, and mentors analysts.

Analyzes fraud threats and transaction data to identify trends, quantify losses, evaluate fraud rules, and recommend control enhancements. Develops monitoring, reports, dashboards, databases, data pipelines, and data-quality processes. Provides insights to management, supports automation and governance, performs audits, and identifies fraud savings opportunities. Collaborates with senior analysts, managers, and data governance teams while helping address data-related business questions and continuously improve fraud detection capabilities.

Design and maintain scalable AWS-based data pipelines, architectures, ETL/ELT workflows, databases, and big data solutions. Integrate and transform complex datasets using Python, SQL, Spark, Hadoop, and Kafka. Build data models, dashboards, reports, and analytics solutions while implementing data quality, governance, security, monitoring, and compliance processes. Support migrations and modernization projects, collaborating with data scientists, analysts, and business stakeholders to deliver reliable, decision-ready data.

Analyze clinical outcomes, engagement, feature usage, ROI, and business trends for client reporting. Build and maintain complex SQL queries, reporting workflows, interactive dashboards, and self-service analytics. Partner with Customer Success, Sales, Marketing, Finance, Product, and Medical Affairs to deliver actionable insights, executive presentations, and client-facing materials. Improve data quality, automate recurring reporting, and identify opportunities that support client outcomes and business growth.

Analyzes and interprets data, evaluates results, and provides actionable insights to support strategic decision-making across departments.

Analyzes sanctions alerts and creates business rules to reduce false positives. Manages data quality, governance, controls, incidents, and remediation; supports application and client onboarding through data mapping and transformation. Queries large datasets, produces reports, performs trend and impact analysis, and partners with business and technology teams on requirements, testing, automation, and regulatory compliance.