Salary
💰 $90,281 - $119,171 per year
About the role
- Senior Data Analyst uses data to define and build out metrics, KPIs, dashboards, ad hoc analyses, and analytical models in one or more areas: clinical, health plan, human resources, marketing, and financial analytics. The Senior Data Analyst is consultative and will support data-driven business decisions and provide actionable business and operational insights.
- Essential Job Duties:
- Collaborate with business stakeholders to help identify which metrics are most useful to track, how they should be defined, and how they can be improved
- Provide analysis-backed ideas on how to improve status quo, and find new solutions and levers to improve business and clinical efficacy
- Build relationships and trust with business partners and have forward-looking mindset to help HR/People departments adjust to changing landscape
- Use data, information, analysis, and modeling to find ways to improve key metrics and optimize operations and clinical efficacy
- Serve as a subject matter expert for business rules and logic (clinical and non-clinical) to convert information into operational and clinical metrics and KPIs
- Partner with the Enterprise Data Warehouse team in the design and development of a single source of truth repository for the company’s clinical and operational data
- Communicate effectively to business users, stakeholders, and leaders on how business and clinical logic is applied to arrive at KPIs and metrics, why we’re measuring what we’re measuring, and how operational activities link to KPIs, OKRs, etc.
- Job Requirements:
- Bachelor's degree in analytics, data science, math, statistics, or related field required; master’s degree preferred
- Minimum of two (2) years of experience in business analytics, with a focus on converting business information into actionable analysis and insights
- Minimum of two (2) years of experience with business information architecture, business metric governance, metric cataloging and dictionaries
- Minimum of two (2) years of experience with SQL, SAS, Tableau, Power BI, or other analytical and business intelligence tools
- Minimum of two (2) years of experience with Machine Learning or Predictive Analytics
- Minimum of two (2) years of experience with People Analytics, highly preferred
- Experience working in a consultative capacity, guiding business partners to make data-driven decisions; Excellent organizational and communication skills with leaders, stakeholders, and users
- Benefits of Working at WelbeHealth: Apply your expertise in new ways as we rapidly expand. You will have the opportunity to design the way we work in the context of an encouraging and loving environment where every person feels uniquely cared for.
- BENEFITS: Health Coverage on Day 1, Paid Parental Leave, 401K Match.
- PERKS: 17 days of paid time off in year one, 12 company holidays, and 6 sick days
- GROWTH: Career path advancement and leadership opportunities
Requirements
- Bachelor's degree in analytics, data science, math, statistics, or related field required; master’s degree preferred
- Minimum of two (2) years of experience in business analytics, with a focus on converting business information into actionable analysis and insights
- Minimum of two (2) years of experience with business information architecture, business metric governance, metric cataloging and dictionaries
- Minimum of two (2) years of experience with SQL, SAS, Tableau, Power BI, or other analytical and business intelligence tools
- Minimum of two (2) years of experience with Machine Learning or Predictive Analytics
- Minimum of two (2) years of experience with People Analytics, highly preferred
- Experience working in a consultative capacity, guiding business partners to make data-driven decisions; Excellent organizational and communication skills with leaders, stakeholders, and users