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This position partners closely with Account Management, Sales, and Leadership teams to ensure data accuracy, integrity, and meaningful reporting. The Data Analyst also develops client-focused recommendations and communicates insights effectively to diverse audiences, including leadership, HR, finance teams, and benefit committees.
This is an evolving role that adapts to industry changes, client needs, and reporting requirements. The ideal candidate is highly analytical, detail-oriented, and able to translate complex data into clear, impactful insights. This position is a hybrid-based role out of Billings or Helena, Montana and you must be able to work in office.
Key Responsibilities
Analyze and interpret data related to self-funded and captive employee benefit plans
Identify trends, risks, cost drivers, and utilization patterns impacting healthcare spend
Ensure data accuracy by identifying and resolving discrepancies or incomplete data
Develop, maintain, and optimize databases and reporting systems
Transform complex data into clear, actionable reports and dashboards
Apply statistical methods to analyze trends and support forecasting and decision-making
Conduct data quality assessments to ensure accuracy, completeness, and consistency
Collaborate with internal teams to develop client recommendations and strategies
Present findings in a clear and tailored manner to both technical and non-technical audiences
Support client reporting, renewal processes, and strategic initiatives
Identify opportunities for process improvement, automation, and enhanced data governance
Assist with sales initiatives by supporting reporting and risk analysis efforts
Participate in client meetings, conferences, and presentations (up to 5% travel)
Qualifications
5+ years of experience in health insurance (carrier or TPA preferred)
7+ years of experience in data analytics/reporting, or a bachelor’s degree in a related field (e.g., Data Analytics, Statistics, Mathematics, Business, Information Systems)
Strong knowledge of medical claims (professional and facility)
Advanced Excel and proficiency in Microsoft 365 tools
Active Life & Health Insurance license (or ability to obtain)
Understanding of compliance requirements (HIPAA, ERISA, COBRA, ACA)
Experience in employee benefits, healthcare analytics, or financial analysis preferred
Technical Skills
Data cleaning, transformation, and validation
Statistical analysis (e.g., regression, correlation, hypothesis testing)
Database management and querying
Data visualization and dashboard development
Experience with reporting and analytics tools
Familiarity with automation and basic machine learning concepts (preferred)
Core Competencies
Strong attention to detail and commitment to data accuracy
Ability to work independently and manage shifting priorities
Effective communication and presentation skills
Client-focused mindset with a solutions-oriented approach
Strong collaboration and teamwork skills
High level of professionalism, integrity, and accountability
Adaptability in a fast-paced, evolving environment
Additional Information
Occasional overtime during peak reporting periods
Participation in client meetings and industry events as needed
Commitment to ongoing professional development and compliance training
Benefits Leavitt Great West offers the strength of a national brand with the heart of a local agency. We foster a culture of trust, collaboration, and professional growth.
You’ll enjoy:
A people‑first culture that values work‑life balance
Ongoing training and career development opportunities including paid license renewal and continuing education
The tools and support you need to succeed
The chance to work with reputable carriers and a diverse book of business
Recognition and rewards
Attractive Benefits package, including 401k and wellness program that allow you to earn dollars toward your HSA account
Vision, Dental, HSA/FSA, & Life Insurance
Paid time off (vacation & sick time)
Ready to make your next move?
Apply today and help us continue delivering excellent service to our clients!
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Sprachkenntnisse
- English
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