Role Description Join a team where technology meets strategy. As a Senior Actuarial Data & Systems Analyst, you will play a crucial role in delivering technical data support and innovative solutions for Actuarial financial data systems. You’ll identify business requirements and deliver solutions related to the support of the specific business area/function. Perform appropriate analysis, development, and logic implementation to ensure the quality and accuracy of data/applications delivered. - Manages the maintenance and optimization of the Actuarial Systems Data Marts. - Performs monthly data refreshes, financial validations, and quality assurance checks to support Actuarial reporting and analytics. - Independently analyze business problems or opportunities; develop recommendations and solutions, implement those solutions, and provide communication on the associated actions, business impacts, and results. - Develop decision support solutions; including medical and pharmacy claim financial data builds, data extracts, reports, data mart tables, views, and analysis. - Ensures financial granular detail data is appropriately auditable, snapshotted, and stored for quarterly and year-end audits. - Establishes vendor and inter-departmental relationships to ensure the accuracy and completeness of financial data. - Keeps abreast of changes in the company and with our external vendor; data that affects the departmental processes & systems, make recommendations of actions needed and implement changes to the applicable Actuarial Systems and processes where needed. - Serve as the lead for multiple application areas, including data definitions, usage and file structure, technical structure of the code and the business rules, and structure of requirements that governs the functionality of the system. - Provide technical leadership and application expertise to business project teams and non-project related activities for the full understanding and execution of all types of assignments. - Plan and serve as a key liaison with business areas during development and implementation. - Provide detailed configuration expertise to customers and business partners. This includes verbal, written, and electronic communication, and delivering presentations when needed. - Provide analytical support for departmental, divisional, and corporate projects as needed to accomplish their business goals and to ensure the business needs are met. Qualifications - Bachelor's degree or advanced degree (where required). - 5+ years of experience in related field. - In lieu of degree, 7+ years of experience in related field. Requirements - 5+ years of SQL Development/Analysis experience - Highly Preferred. - 5+ years of healthcare claims data experience - Highly Preferred. - Healthcare data analytics experience, including experience with Government and Commercial lines of business - Highly Preferred. - Facets experience a plus. - Experience leading project teams required. Benefits - The opportunity to work at the cutting edge of health care delivery with a team that’s deeply invested in the community. - Work-life balance, flexibility, and the autonomy to do great work. - Medical, dental, and vision coverage along with numerous health and wellness programs. - Parental leave and support plus adoption and surrogacy assistance. - Career development programs and tuition reimbursement for continued education. - 401k match including an annual company contribution. Salary Range At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications, and other business and organizational needs. Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs. *Based on annual corporate goal achievement and individual performance. $98,092.00 - $156,947.00 Skills - Business Analysis - Business Requirements Analysis - Claims Data - Financial Data - Healthcare Analytics - Health Data - SQL Data Analysis - Structured Query Language (SQL) - Structured Query Language (SQL) Development - System Testing Job Alert Fraud We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on our careers page . If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.

Role Description Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career. Are you a data-driven leader who thrives on turning insights into action? We’re seeking a Lead Data Analyst to guide our data analytics practice and deliver high-impact insights that fuel strategic growth across the business. As a senior member of the Analytics team, you’ll not only dive deep into datasets but also shape our overall data strategy. You’ll partner with cross-functional teams—from marketing to product to operations—to uncover trends, forecast outcomes, and influence decision-making at the highest level. You’ll also mentor and coach a team of analysts to help them grow their technical and business acumen. - Lead the development and execution of analytical frameworks to support business goals - Collaborate with stakeholders to translate business questions into data projects - Design and maintain dashboards, reports, and advanced analytics models - Mentor junior analysts and ensure high standards in data quality and storytelling - Recommend process improvements based on data-driven insights - Stay ahead of industry trends, tools, and best practices Qualifications - 3+ years of experience in a data analysis or business intelligence role - Strong command of SQL and Python/R for analysis and modeling - Hands-on experience with BI tools like Tableau, Power BI, or Looker - Proven track record of leading projects and teams - Excellent communication skills with the ability to explain complex data to non-technical stakeholders Requirements - Tools & Technology: - Python, SQL, or Scala - Apache Airflow, dbt, or equivalent pipeline orchestration tools - Snowflake, BigQuery, or Redshift - AWS, GCP, or Azure - Kafka or Spark (advantageous) - Google Workspace - Slack, Zoom, Jira, and other remote collaboration tools Please NOTE It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.

Role Description The Senior Consultant - Data Analytics & Network Evaluation supports client healthcare initiatives through advanced data analysis, solution engineering, and emerging data science methods. This role analyzes complex healthcare and claims data to identify trends, financial impacts, and network performance while developing scalable analytical models, dashboards, and predictive tools. The Senior Consultant evaluates carrier networks, benchmarks performance, and supports ROI and health economics modeling to inform client strategy and decision-making. Responsibilities include: - Collaborating with cross‑functional teams. - Ensuring data accuracy and integrity. - Translating complex analytics into clear insights for diverse audiences. - Acting as a technical expert on advanced data mining techniques. Success in this role requires: - Strong analytical expertise. - Effective communication skills. - Sound professional judgment. - The ability to thrive in a fast‑paced, collaborative environment. - Building client relationships and supporting team development. Qualifications - Bachelor’s degree (BS) in Mathematics, Actuarial Science, Statistics, Economics, or Computer Science. - 7+ years’ working experience as an Actuarial Analyst, Data Analyst, or Data Scientist in the HealthCare sector. - 5+ years of hands-on experience with structured query languages and statistical computing (e.g., R, RStudio, SQL, Python, SAS). - 3+ years of hands-on experience building and conducting ETL tasks. - Knowledgeable about applied statistics, experimental design, and machine learning techniques. - Expert with data mining and visualization tools such as Qlik, Tableau, or Power BI. - Experience with developing medical and pharmacy utilization reporting, establishing utilization trends, and identifying meaningful and actionable observations. - Experience with Uniform Discount and Data Specification (UDS) submissions is a plus. - Experience with underwriting insurance premiums is a plus. - Ability to generate information quickly and manage multiple projects at once. - Knowledge of conducting health statistical modeling for medical and pharmacy, ROI analyses, and indirect comparisons. - Diverse experience of healthcare databases and data sources (claims, encounters, labs, EMR etc.). - Extensive knowledge of healthcare/medical economics data such as hospital/physician/ASC claims, utilization data, and healthcare industry coding systems ICD-10, CPT/HCPCS, Revenue Codes, MS/APR-DRGs and APC. - Strong analytical skills with the ability to collect, organize, analyze, conceptualize, problem solve, and disseminate information confidently and collaboratively with attention to detail, accuracy, timeliness. - Solid knowledge of business, financial, strategic concepts, and emerging trends. - Solid interpersonal skills, oral and written, and a professional presence. Requirements - Analyze complex healthcare data sets to identify trends, patterns, and insights. - Create and present reports, dashboards, and visualizations to communicate findings to stakeholders. - Isolate healthcare trend drivers and financial impacts associated with client medical claims, pharmacy claims, and other types of healthcare data. - Perform varying types of analysis including medical carrier network valuations, discount analysis, and benchmarking. - Leverage real-world, statistical data and modeling to recommend, test, validate, and track supporting health economics, return on investment (ROI), and healthcare benefit models for client businesses beyond traditional methods. - Develop analytical analytics, data models, reporting, and data mining tools that scale across clients. - Codevelop and implement data collection strategies, design, and maintain databases. - Conduct complex analyses adhering to best practice standards by selecting appropriate data sources, developing assumptions, recognizing considerations, and establishing recommendations. - Collaborate with cross-functional teams to define data requirements and ensure data accuracy and integrity. - Identify opportunities for process improvement and efficiency through data analysis. - Stay up-to-date with industry trends and best practices in data analysis. - Resolve unreasonable results, suboptimal solutions, and data anomalies based on experience and professional judgment. - Act as a technical expert and advise on strategic data mining techniques used to identify new relationships or patterns in data. - Consult and provide expertise on new or enhanced product development opportunities including discussions on methodology, data requirements, coding implications, and the viability and profitability of a given proposal. - Build predictive models to accurately analyze potential outcomes that are likely costs/savings for a given initiative or event(s). - Develop and maintain effective cross-functional working relationships to assure accurate, timely teamwork and project execution with assigned teams. - Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse, internal and external audiences. - Build and maintain client relationships. - Monitor market trends, engage in market research, and identify opportunities for initiatives. - Support the development and training of team members and colleagues. - Participate in peer review of your own work as well as your colleagues. - Document all developed work with version controlling and logic documentation. Benefits - Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance. - Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement. - Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services. - Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.

Role Description Estamos buscando um Coordenador técnico que contribuirá com atividades de analisar grandes volumes de dados operacionais e de projetos de engenharia. Qualifications - Formação superior em engenharia ou áreas correlatas; - Python e/ou R para análise e automação; - Ferramentas de BI (Power BI, Tableau ou similar); - Modelagem e arquitetura de dados; - ETL e pipelines de dados; Requirements - Analisar grandes volumes de dados operacionais de projetos de engenharia; - Construir e manter dashboards e relatórios para gestão e liderança; - Desenvolver e sustentar pipelines de dados (ETL) robustos; - Gerar insights estratégicos que orientem decisões de negócio e planejamento; - Traduzir dados técnicos em narrativas claras para áreas não-técnicas (storytelling); - Colaborar ativamente com times de produto, operações e planejamento; Benefits - Compromisso com a igualdade de oportunidades e valorização da diversidade; - Ambiente de trabalho respeitoso e inclusivo; - Oportunidades iguais de desenvolvimento; - Cultura aberta, criativa e colaborativa; - Oportunidade de desenvolver sua carreira em uma equipe de especialistas;