Director, Business Analytics at TurningPoint Healthcare

Lake Mary, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Sep, 26

Salary

0.0

Posted On

23 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Intelligence, Data Analytics, SQL, Python, Spark, Power BI, Databricks, Data Modeling, ETL Processes, Statistical Analysis, Predictive Modeling, Stakeholder Management, Healthcare Data Analysis, Team Leadership, Data Governance, KPI Monitoring

Industry

Hospitals and Health Care

Description

Director, Business Analytics Who We Are: 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. Roles and 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. Leadership & Team Development * 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 Analytics & Data Delivery * 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 Data Architecture & Governance * 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 Visualization & Stakeholder Engagement * 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. What We Are Looking For * 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 Education & Experience * 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) TurningPoint Healthcare Solutions is an Equal Opportunity Employer.

Responsibilities

Lead the enterprise Business Intelligence strategy and manage a high-performing analytics team to drive strategic decision-making. Design and optimize scalable data models, dashboards, and analytical solutions to improve clinical and operational efficiency.