Data Analyst

Planned Parenthood of Wisconsin, Inc.Milwaukee, WI
12d$36Onsite

About The Position

This is an excellent opportunity for a Data Analyst (40 hours/week) at our Administration Offices in Milwaukee, WI. As part of our comprehensive benefit package, we offer: - Company contribution toward medical insurance deductible - Generous Paid Time Off - 12 Days of Holiday Pay - Immediate 401(k) Vesting with up to 6% company contribution - Paid Parental Leave - Tuition Assistance - Public Service Loan Forgiveness Program PPWI’s compensation philosophy is rooted in equity. Starting offers are determined by both the candidate’s applicable experience and internal equity. The Data Analyst pay starts from $35.71 per hour. Additional $1.50 per hour for bilingual (English/Spanish) PURPOSE OF POSITION: The Data Analyst will use strong analytical capabilities to drive financial and operational insights. This role will serve as a strategic partner to the CFO and senior leadership team—transforming complex data into actionable intelligence that informs business strategy, performance monitoring, and decision-making.

Requirements

  • Must be committed to providing excellent customer service and support the vision and values of Planned Parenthood of WI.
  • Commitment to diversity, equity, inclusion, and belonging.
  • Strong understanding of healthcare operations and financial concepts, including revenue cycle, payer mix, cost analysis, and performance metrics.
  • Proven ability to synthesize complex data into meaningful insights for executive-level decision-making.
  • Effective communication skills and experience translating technical data into accessible business narratives.
  • Proven analytical and problem-solving abilities, with the ability to effectively prioritize and execute tasks in a high-pressure environment.
  • Associate’s degree in information technology, Business Management, Data Analytics, Finance, or related field required.
  • 3–5+ years of experience in data analytics within a healthcare organization or health tech environment.
  • An equivalent combination of education and experience from which comparable knowledge and abilities can be acquired may be considered.
  • Demonstrated experience working with Epic (Clarity, Caboodle, or similar reporting tools).
  • Proficiency in SQL, Excel, and one or more BI/reporting tools (e.g., Power BI, Tableau, Smartsheet dashboards).
  • Holds both a Caboodle and Clarity Data Modeling certifications required.

Nice To Haves

  • Familiarity with data integration or ETL processes between Epic and external tools.

Responsibilities

  • Design, build, and maintain dashboards and reports that integrate Epic data with financial and operational systems (e.g., SmartSheet, Power BI, or Tableau).
  • Collaborate with finance, operations, and clinical leadership to identify key performance indicators (KPIs) across patient care, revenue cycle, and resource utilization.
  • Support ongoing initiatives to enhance data automation, reporting efficiency, and real-time visibility into organizational performance.
  • Extract, transform, and analyze large datasets from Epic to support monthly performance reviews, forecasting, and strategic planning.
  • Translate data findings into clear recommendations and presentations for non-technical stakeholders, including the CFO and board members.
  • Partner with IT and data governance teams to ensure data integrity, compliance, and alignment with HIPAA standards.
  • Identify opportunities to optimize clinical and administrative workflows through data insights.
  • Assist in the creation of targeted, prompt ad-hoc training to business users as needs arise; proactively integrate this knowledge into standard training materials
  • Perform additional related duties as assigned.

Benefits

  • Company contribution toward medical insurance deductible
  • Generous Paid Time Off
  • 12 Days of Holiday Pay
  • Immediate 401(k) Vesting with up to 6% company contribution
  • Paid Parental Leave
  • Tuition Assistance
  • Public Service Loan Forgiveness Program
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