Manager, Analytics

Blue Cross and Blue Shield of North Carolina; Oklahoma; Hybrid; USD 119,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) match

Tuition reimbursement

Paid time off (PTO)

Job summary

Blue Cross NC seeks a senior analytics leader to guide a team delivering data-driven insights for strategic decision-making. You will partner with business and technology leaders to build scalable analytics solutions that drive measurable outcomes.

The role emphasizes developing dashboards and executive reporting, advancing analytics maturity, and fostering an insights-driven culture. Requires 8+ years in analytics with team leadership and experience with BI tools.

Qualifications

• 8+ years of experience in analytics, business intelligence, or data science.
• Experience leading analytics teams and developing high-performing talent.
• Strong consulting, communication, and stakeholder management skills.

Responsibilities

• Lead a team of analytics professionals delivering data-driven insights for strategic decisions.
• Promote advanced analytics tools and products for business decision making.
• Partner with business areas to craft analytics roadmaps (people, process, technology).
• Ensure data sets integrity and quality for enterprise analyses and research.
• Deliver executive-level insights through dashboards, scorecards, and data storytelling.

Skills

Leadership

Analytics strategy

Stakeholder management

Power BI

Snowflake

Tableau

Jira

ServiceNow

GitHub

AI capabilities

Education

Bachelor's degree or higher

Advanced degree

Tools

Power BI

Snowflake

Tableau

Jira

ServiceNow

GitHub

Job description

Job Description

Manage the analysis and business intelligence functions of the organization, delivering data-driven insights that support strategic decision-making, operational excellence, and business performance. Lead a team of analytics professionals while partnering with business and technology leaders to develop scalable analytics solutions that drive measurable outcomes.

What You'll Do

• Manage a team that consults with business areas to identify the most important data-driven questions and define initiatives to drive strategic objectives.
• Promote the use of the latest tools and techniques for analysis to build sophisticated analytics products that power business decision making.
• Partner with business areas to help craft their analytics roadmap (people, process, and technology) to achieve business goals and identified priorities.
• Support the development, maintenance, and integrity of data sets used for analysis of enterprise programs, reports, internal and external research projects, and analytic studies.
• Stay abreast of developments at the intersection of science, technology, and business relevant to the company and drive business innovation through analytics.
• Collaborate with leadership to ensure continued advancement of the enterprise's analytics maturity.
• Support the creation and cultivation of an insights- and analytics-driven culture across the organization.
• Build relationships both within Blue Cross NC and the external analytics community to continue to attract and develop top-tier talent.
• Lead and support a diverse portfolio of analytics initiatives spanning digital channels, customer experience (CX), survey and feedback programs, process optimization efforts, association reporting, Net Promoter Score (NPS) analytics, scorecard development, IT operational reporting, AI adoption dashboards, and executive-level performance reporting.
• Partner with business and technology teams to define data requirements, improve data quality, and support the integration of digital, customer experience, survey, and operational data sources into scalable analytics solutions.
• Lead a diverse team of analysts, engineers, and scientists to translate complex data into clear, actionable insights through the development of dashboards, scorecards, and visualizations tailored to audiences ranging from operational teams to senior executives.
• Serve as a strategic and consultative analytics partner to senior leaders, transforming business challenges into data-driven strategies, actionable requirements, and prioritized analytics solutions. Deliver executive-level insights through compelling dashboards, performance reporting, and data storytelling that drive organizational outcomes.
• Build and maintain strong partnerships across business and technology teams, using exceptional communication, influence, and stakeholder management skills to effectively navigate competing interests and align leaders around data-driven decisions.
• Successfully manage multiple concurrent priorities in a fast-paced environment, balancing strategic initiatives, operational reporting needs, and ad hoc requests while ensuring timely and high-quality deliverables.

What You Bring

• Bachelor's degree or advanced degree (where required).
• 8+ years of experience in analytics, business intelligence, reporting, data science, or a related field.
• In lieu of a degree, 10+ years of experience in a related field.
• Experience leading analytics teams and developing high-performing talent.
• Strong consulting, communication, and stakeholder management skills with the ability to influence and collaborate across business and technology organizations.
• Demonstrated ability to manage multiple priorities while delivering high-quality analytics solutions and business outcomes.
• Demonstrated experience leveraging data and analytics reporting tools such as Power BI, Snowflake, Tableau, Jira, ServiceNow, GitHub, and incident management platforms to drive insights, monitor performance, and support operational decision-making. Preferred candidates will have experience incorporating AI and generative AI capabilities into analytics, reporting, and workflow optimization practices.

Preferred Qualifications

• Healthcare industry experience with an understanding of healthcare operations, member experience, and performance measurement is preferred.

What You'll Get

• 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.
• 401(k) match, including an annual company contribution.
• Learn more: Blue Cross NC Benefits

Where You'll Work

Our Hybrid-Flex approach is built on presence with a purpose, giving you flexibility to work remotely with intentional in-person connection that supports a workplace that's flexible, connected, and future focused.

In a Hybrid-Flex role, you'll work in the office at least two days a week for collaboration and connection. In a Remote-Flex role, you'll work virtually, with a few in-office visits each year for meaningful moments that matter.

Whether your role is Hybrid-Flex or Remote-Flex depends on the nature of the work and distance from our Durham headquarters. We welcome candidates from outside the local area and in any states listed on this job posting. Onsite expectations will be discussed during the interview process.

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.

$118,691.00 - $189,906.00

Skills

Business Decisions, Business Intelligence (BI), Data Analysis, Data Governance, Data Mining, Data Science, Data Storytelling, Data Visualization, Machine Learning (ML), Statistical Models