About the position

Under the direction of the Manager Advanced Analytics, the Supervisor Healthcare Data Analytics plays a pivotal role in driving analytics initiatives across the organization, working to enhance data-driven decision-making and improve health outcomes. The Team Lead guides and mentors a team of analysts while ensuring the successful development and delivery of health-focused reports, dashboards, and insights. This position requires a combination of technical expertise, leadership skills, and a strong understanding of healthcare data to drive performance, governance, and continuous improvement in analytics. This position is eligible to work onsite, remote or hybrid (9 or more days a month on site) in accordance with our Telecommuting Policy. Applicants must reside in Kansas or Missouri or be willing to relocate as a condition of employment.

Responsibilities

• Accountable for performance monitoring, policy enforcement, termination process, disciplinary action, hiring, compliance and team development.
• Maintaining accurate records of all hiring, firing and disciplinary actions.
• Lead, mentor, and develop a team of analysts to ensure high-quality deliverables, growth opportunities, and a collaborative work environment.
• Foster a culture of continuous learning and improvement, supporting team members in achieving their professional goals and staying updated on industry best practices.
• Coordinate and prioritize team projects to ensure alignment with departmental and organizational goals.
• Establish and enforce best practices for data governance, reporting standards, and consistency in health analytics.
• Oversee the development and implementation of quality assurance (QA) and quality control (QC) processes to ensure data accuracy, integrity, and compliance with regulatory standards.
• Review and improve the formatting, UI/UX, and themes of dashboards and reports to ensure clarity, consistency, and ease of use across all data products.
• Lead efforts to optimize data models and reporting tools, ensuring performance efficiency, reliability, and scalability.
• Guide analysts in using advanced techniques (e.g., DAX, M Query) for data modeling and visualization to meet business and health-related reporting needs.
• Collaborate with IT and business teams to define, implement, and maintain efficient data refresh schedules and automated reporting processes.
• Work closely with business leaders and stakeholders to understand their reporting and analytics needs, ensuring alignment with health analytics objectives.
• Act as a liaison between the analytics team, IT, and business stakeholders, ensuring clear communication and effective collaboration on projects.
• Advocate for the use of advanced analytics and self-service reporting solutions to drive actionable insights across the organization.
• Drive continuous improvement in analytics processes, tools, and methodologies to meet evolving business and healthcare needs.
• Stay up to date with industry trends, new technologies, and best practices in healthcare analytics to incorporate innovative solutions into the team's workflows.
• Lead and participate in design reviews, ensuring that analytics solutions are scalable, effective, and user-friendly.

Requirements

• In-depth understanding of healthcare data, regulations (e.g., HIPAA), and reporting requirements.
• Knowledge of data governance frameworks, QA/QC processes, and standards for data accuracy, integrity, and compliance.
• Expertise in Power BI development, including data modeling, DAX, M Query, and visualization best practices.
• Familiarity with advanced data analytics techniques, including data modeling and visualization.
• Up-to-date knowledge of healthcare analytics trends, new technologies, and best practices for continuous improvement.
• Proven ability to lead, mentor, and develop a team of analysts, fostering a culture of continuous learning and collaboration.
• Strong organizational and project management skills, including the ability to coordinate, prioritize, and manage multiple projects simultaneously.
• Expertise in SQL, Python, Power BI, and other data manipulation languages; ability to design and implement data models and automated reporting processes.
• Excellent communication skills, both verbal and written, to effectively liaise between IT, business teams, and analytics stakeholders.
• Strong ability to design and optimize dashboards and reports for clarity, usability, and scalability.
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex data-related issues.
• Ability to collaborate with cross-functional teams, including IT and business units, to align on analytics and reporting needs.
• Ability to drive continuous improvement in analytics processes, tools, and methodologies.
• Ability to support the growth of team members, ensuring they stay current with industry practices and develop professionally.
• Ability to quickly adapt to changing healthcare needs, business objectives, and emerging technologies.
• Ability to oversee and implement quality assurance processes to ensure data integrity and compliance with regulatory standards.

Nice-to-haves

• Bachelor's degree in business, Data Science, Healthcare Analytics, or a related field, in lieu of bachelor's degree a minimum of 8 years' experience of relevant experience is required.
• 5+ years of experience in data analytics, business intelligence, or healthcare analytics, including at least 2 years in a leadership or mentoring role.
• Expertise in Power BI development, data modeling, DAX, M Query, and data visualization best practices.
• Strong understanding of healthcare data, regulations, and reporting requirements.
• Proven ability to manage multiple projects, prioritize tasks, and lead a team to meet deadlines.
• Excellent communication, problem-solving, and interpersonal skills.
• Experience working within the healthcare industry or insurance, with a deep understanding of healthcare data and analytics, preferred.
• Advanced knowledge of SQL, Python, or other data manipulation languages, preferred.
• Power BI certification or other relevant certifications in business intelligence or analytics, preferred.
• Experience with data governance frameworks and implementing data quality best practices, preferred.

Benefits

• Base pay is only one component of your competitive Total Rewards package.
• Incentive pay program (EPIP).
• Health/Vision/Dental insurance.
• 6 weeks paid parental leave for new mothers and fathers.
• Fertility/Adoption assistance.
• 2 weeks paid caregiver leave.
• 5% 401(k) plan matching.
• Tuition reimbursement.
• Health & fitness benefits, discounts and resources.