Top Tech Jobs & Startup Jobs in Charlotte, NC

Analyzes large-scale pharmacy claims data using SQL to validate adjudication, pricing, benefits, reimbursements, and contractual compliance. Investigates discrepancies, performs root-cause analysis, quantifies financial and operational risk, supports audits and reconciliations, and develops monitoring, dashboards, reports, and analytical tools. Partners with Finance, Legal, Product, Operations, Network, and Compliance teams to improve claims accuracy, automate controls, and communicate actionable findings.

Leads analytics projects, develops recurring executive and firm-wide reports, analyzes healthcare and pharmacy claims data, and translates complex findings into actionable business insights. The role ensures data integrity, documentation, compliance, and quality controls while partnering cross-functionally with stakeholders. Responsibilities include building reports and visualizations, improving reporting methodologies, supporting process automation, presenting to leadership, and mentoring team members.

Leads enterprise compliance projects from planning through closure, managing timelines, milestones, risks, dependencies, governance, stakeholder communication, vendors, and reporting. Supports compliance program initiatives, risk assessments, regulatory requirements, technology implementations, business continuity planning, process improvement, and executive committee updates across a highly regulated healthcare environment.

Lead the Underwriting Data Analyst team supporting pharmaceutical underwriting, pricing, sales, and client retention. Manage analysts, oversee data collection and quality, develop SQL, Python, and R infrastructure, create analyses and reporting, support pricing models, review analytical outputs, and coordinate cross-functional initiatives. Train team members, manage work queues, document processes, and provide subject-matter expertise on underwriting data and systems.

Develop, maintain, test, and execute CMS-required pharmacy benefit regulatory reports. Translate CMS and business requirements into governed technical solutions using SQL and complex healthcare claims data. Manage recurring reporting deliverables, implement approved changes, automate processes, maintain documentation and reusable code, and collaborate with Government Programs and subject matter experts on requirements, risks, dependencies, and validation.

Analyzes and maintains healthcare data exchanges between the company and external partners. Responsibilities include designing EDI mappings and transformations, validating claims and eligibility data, resolving errors, monitoring data feeds, supporting integrations, documenting processes, generating performance reports, and identifying automation opportunities. The role requires healthcare EDI expertise, knowledge of claims transactions and HIPAA compliance, technical troubleshooting, and collaboration with internal teams and trading partners.

Analyze medical and pharmacy claims, eligibility, provider, utilization, cost, and financial data to identify healthcare trends, cost drivers, risks, and savings opportunities. Partner with actuarial, finance, underwriting, clinical, product, and client-facing teams on forecasting, pricing, benchmarking, ROI evaluations, risk assessment, and strategic healthcare initiatives. Translate complex findings into executive-ready recommendations while developing scalable analytical frameworks, models, dashboards, and quality controls.

Lead full-stack software development from design through delivery for Judi Health’s healthcare benefits platform. Partner with product, design, and QA teams to define requirements, build scalable features, provide technical leadership and support, and expand the platform using Python, AWS, React, TypeScript, and PostgreSQL in an Agile/Scrum environment.

Build and maintain Snowflake data models using dbt, improve data quality and observability, define data contracts, and support a modular healthcare data platform. Collaborate with analysts, data scientists, and software engineers to deliver trusted datasets. Responsibilities include pipeline monitoring, incident troubleshooting, performance and cost optimization, design reviews, documentation, and knowledge sharing. The role requires strong SQL and Python, data modeling, orchestration, CI/CD, cloud data warehouse, security, governance, and healthcare data knowledge.

Lead and scale quality assurance across engineering teams by managing QA engineers, defining automation and testing strategy, integrating frameworks with CI/CD, establishing quality metrics, and improving test coverage, data management, performance testing, and environment stability. Collaborate with product and engineering leadership, promote shift-left and exploratory testing, ensure regulatory compliance, and foster continuous improvement across distributed Scrum teams.