Application Support Analyst optimizing scheduling templates for improved patient access at Ohio State University Physicians. Collaborating with teams to enhance operational efficiency in healthcare.
About the role
- Lead Data Analyst for American Family Insurance transforming Auto claims data into actionable insights. Collaborating across teams to diagnose metrics and deliver analytics with emerging tools.
Responsibilities
- Lead variance and root-cause analyses to explain changes in claims performance metrics (volume, severity, cycle times, KPIs)
- Build and maintain models that quantify business impact of operational initiatives, vendor performance, and process changes
- Develop forecasts to support planning and resource allocation decisions
- Partner with Claims leadership as a trusted analytical advisor; translate complex findings into clear, compelling narratives that drive action
- Support internal business partners (Loss Reserving, Product Management, Pricing) with claims data expertise and ad-hoc analysis
- Collaborate with Data Engineering teams to ensure data quality, pipeline integrity, and alignment between business needs and technical solutions
- Mentor fellow analysts and contribute to a culture of curiosity, continuous learning, and knowledge sharing
- Proactively explore emerging tools and techniques, including AI-assisted workflows, to improve team efficiency and analytical depth
- Follow and curate industry data to understand internal performance relative to industry benchmarks or trends
Requirements
- Strong background in Property & Casualty insurance claims, with Auto claims experience required
- Proven ability to move beyond surface-level reporting to uncover root causes and recommend solutions
- Advanced SQL skills (BigQuery preferred)
- Experience with BI/visualization tools (Looker, Tableau)
- Comfort with Google Sheets/Excel for modeling and analysis, and exploratory data analysis (EDA)
- Exposure to Python, BigQueryML, or similar tools a plus
- Ability to distill complex analysis into clear, persuasive narratives for both technical and non-technical audiences
- Experience working cross-functionally; able to 'speak the language' with Data Engineering and technical teams without needing to own ETL work directly
- Self-directed learner who stays current with industry trends, new tools, and modern analytical approaches including AI/ML applications
Benefits
- Comprehensive medical, dental, vision and wellbeing benefits
- Competitive 401(k) contribution
- Pension plan
- Annual incentive
- 9 paid holidays
- Paid time off program (23 days accrued annually for full-time employees)
- Student loan repayment program
- Paid family leave
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Analyst driving data - informed decision making for product, customer experience, and operations. Collaborating with cross - functional teams and delivering insights through trusted analytics.
Data Analyst supporting hospital and ancillary relations quality improvement at IEHP. Lead data analysis, reporting, and collaboration on healthcare performance initiatives.
Marketing Data Analyst supporting Ennoble Care's marketing function through data analysis and insights. Collaborating with senior leadership to improve marketing effectiveness across healthcare services.
Marketing Analyst focusing on data analytics to support sales and marketing efforts in insurance products. Conducting analysis, developing reports, and supporting distribution objectives.
Business Data Analyst working within Revenue Operations. Leveraging data insights and analysis to optimize product decisions and improve user experiences.
Data Analyst role at Cogna, transforming data into business insights. Involves teamwork, project management, and technical data solutions.
Data Analyst building automated financial systems at Tabby, a leading FinTech company. Responsible for ensuring accounting accuracy and driving financial automation across various products.
Senior Manager for Payments Data Analytics at FIS analyzing revenue opportunities and presenting insights. Collaborating with technology and data teams to enhance financial services.
Data Analytics Advisor responsible for delivering high - quality analytics and reporting for Cigna's customer experience team. Collaborating with operational leaders and stakeholders to inform data - driven decisions.