Lead Data Analyst, Technology and Digital, FT, 09A-5:30P at Baptist Health South Florida

, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

150077.0

Posted On

06 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Leadership, Data Mining, Statistical Analysis, Data Visualization, SQL, Excel, Tableau, R, Python, Healthcare Data, Dashboarding, Exploratory Analysis, Telematics, Ad-hoc Queries, Process Improvement

Industry

Hospitals and Health Care

Description

Baptist Health is the region’s largest not-for-profit healthcare organization, with 12 hospitals, over 28,000 employees, 4,500 physicians and 200 outpatient centers, urgent care facilities and physician practices across Miami-Dade, Monroe, Broward and Palm Beach counties. With internationally renowned centers of excellence in cancer, cardiovascular care, orthopedics and sports medicine, and neurosciences, Baptist Health is supported by philanthropy and driven by its faith-based mission of medical excellence. For 25 years, we’ve been named one of Fortune’s 100 Best Companies to Work For, and in the 2024-2025 U.S. News & World Report Best Hospital Rankings, Baptist Health was the most awarded healthcare system in South Florida, earning 45 high-performing honors. What truly sets us apart is our people. At Baptist Health, we create personal connections with our colleagues that go beyond the workplace, and we form meaningful relationships with patients and their families that extend beyond delivering care. Many of us have walked in our patients’ shoes ourselves and that shared experience fuels out commitment to compassion and quality. Our culture is rooted in purpose, and every team member plays a part in making a positive impact – because when it comes to caring for people, we’re all in. Description: As a Lead Data Analyst, you will provide leadership to analysts building and implementing advanced analytics solutions that drive valuable insights and create actionable health and wellness solutions. Ideal candidate has proven track record and leadership experience in defining analytics strategies that supports business objectives through data mining & identifying opportunities to improve current processes or identifying new ways to achieve desired benefits. Design methods of exploratory analysis & derive insights through the collection, aggregation, and assessment of data from a variety of internal and external sources including digital and clinical exhaust/telemetry data. Guide others to identify correlations and causations across data sets. Presents findings and recommendations in simple and clear ways to drive action. Monitor production report, dashboard and other analytics processes to ensure proper service recovery. Estimated salary range for this position is $115444.27 - $150077.55 / year depending on experience. Qualifications: Degrees: Masters. Additional Qualifications: Masters or PhD Degree in a quantitative field (mathematics, computer science, physics, economics, engineering, statistics, operations research, etc. ) and minimum of 10 years of experience. Proven working experience as a Lead data analyst. Experience in leading teams that work on data querying, visualization, dashboarding and/or scorecard tools. Expert level skills in SQL, Excel, Tableau or similar. Ability to apply data visualization, descriptive and summary statistical techniques for discovery and timely insights (data exploration, ad-hoc queries, and analysis). Hands on experience with statistical analysis, visualization, and data mining tools such as R and Python. Direct experience with healthcare data, exposure to electronic health records, open source/publicly available healthcare data sets is strongly preferred. Minimum Required Experience: 10 Years EOE, including disability/vets

Responsibilities

As a Lead Data Analyst, you will provide leadership to analysts in building and implementing advanced analytics solutions. You will derive insights through data collection and guide others in identifying correlations across data sets.