Director, Business Analytics

TurningPoint Healthcare•Lake Mary, FL

About The Position

TurningPoint Healthcare Solutions is a leader in advanced clinical and technology-enabled complex condition management. TurningPoint provides an innovative suite of specialty care management services and technologies that enable health plans and employers to improve the safety, quality, and affordability of healthcare. Through its platform and specialized team of clinical experts, TurningPoint works collaboratively with providers to deliver optimal care. TurningPoint offers condition-specific, quality-driven, value-based care management services that optimize care from diagnosis and discovery through recovery. TurningPoint’s comprehensive and integrated suite of services enhances the support individuals need, at the time they need it most. Since launching in 2015, TurningPoint has provided support to more than 50 million people nationwide across numerous clinical specialties including musculoskeletal, pain management, cardiology, wound care, ear/nose/throat, and sleep. TurningPoint’s model moves beyond denial-based care to holistic condition management that improves outcomes and reduces cost. TurningPoint is an independent organization, not owned or affiliated with a health plan or provider system.

Requirements

Deep expertise in healthcare data (authorizations, claims, coding, providers, eligibility) and its application to complex business problems
Advanced proficiency in SQL, Python, and Spark for large-scale analytics
Proven experience operating and scaling BI solutions on modern platforms, with the ability to assess, extend, and improve existing production environments
Strong understanding of ETL processes, data modeling, and data transformation
Experience in statistical analysis, data mining, and predictive modeling
Ability to translate complex data into clear, actionable insights for diverse audiences
Strong business acumen across clinical, financial, and operational domains
Excellent communication and stakeholder management skills
Detail-oriented with strong problem-solving and critical thinking capabilities
Bachelor’s degree in Healthcare Analytics, Computer Science, Statistics, or related field
Significant experience leading analytics teams in a healthcare environment
Demonstrated success scaling and maturing BI functions and teams, including inheriting and evolving existing platforms and infrastructure
Strong organizational, analytical, and presentation skills
Proficiency in modern analytics and reporting tools (e.g., Databricks, Power BI, Python)

Responsibilities

Drives analytical solutions for internal stakeholders to support strategic and operational initiatives, including ownership of business intelligence capabilities.
Will work collaboratively with Clinical Operations, Technology, Finance and other key leadership to drive strategic decision-making and clinical and operational efficiency improvements.
Specializing in data analytics, the individual will use coding and development skills to design and optimize engaging, high-impact and innovative reports, dashboards, and analytics to primarily support ongoing operational excellence and other strategic initiatives.
Leads enterprise Business Intelligence strategy with a strong focus on modern data platforms, including Databricks, to advance and scale existing analytics capabilities and data products.
Partners with Data Engineering to oversee ongoing evolution and scaling of cloud-based data and analytics solutions, including data pipelines, Lakehouse architecture, and semantic layers.
Lead and develop a high-performing BI and analytics team.
Set clear goals, priorities, and accountability standards.
Mentor and coach leaders; support talent development and succession planning.
Foster a culture of accuracy, accountability, and continuous improvement.
Strengthen partnerships across Analytics, Clinical, Finance, Operations, and Technology.
Translate business needs into scalable data models, queries, and analytical solutions.
Optimize, maintain, and deliver impactful dashboards, reports, and advanced analytics using tools such as Databricks, SQL, Python, and Power BI.
Analyze complex datasets to identify trends, performance drivers, and opportunities for improvement.
Develop actionable insights supporting clinical performance, operational efficiency, and financial outcomes.
Lead KPI monitoring, root cause analysis, and ad hoc analytics.
Conduct change impact analysis and support operational excellence initiatives.
Partner with Data Engineering on data architecture, pipelines, and platform scalability.
Maintain and enforce data quality, governance, and validation standards.
Maintain, govern, and extend a library of reusable data assets and analytical tools.
Ensure integrity, usability, and accessibility of enterprise data.
Deliver intuitive, executive-ready dashboards and visualizations.
Collaborate with stakeholders to define requirements and prioritize analytics initiatives.
Ensure ongoing quality, performance, and usability of BI products.
Translate complex datasets into clear, actionable insights by identifying key trends, synthesizing findings, and delivering compelling data-driven narratives tailored to both technical and non-technical audiences.