Junior Data Analyst

New
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WesperHealth Informatics
United StatesContractJunior
Salary not disclosed
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Job Details

Experience
1–3 years
Required Skills
Microsoft ExcelData visualizationGoogle SheetsHIPAAData analytics

Requirements

  • Bachelor’s degree in Data Analytics, Health Informatics, Business, Statistics, or a related field.
  • 1–3 years of experience in data analysis, reporting, or healthcare operations.
  • Demonstrated ability to leverage AI-powered analytics tools (e.g., ChatGPT, Claude, or domain-specific health AI) to streamline data interpretation, summarize findings, and enhance analytical productivity.
  • Advanced proficiency in Excel or Google Sheets (Pivot tables, VLOOKUP, data visualization/charting).
  • Ability to synthesize complex datasets into clear, understandable trends for non-technical stakeholders.
  • Exceptional accuracy in record-keeping; experience with clinical or sensitive data is highly preferred.
  • Strong interpersonal skills; comfortable communicating with clinic staff and internal project leads.
  • Comfortable working in a remote-first, startup environment where priorities can shift as we iterate on processes.

Responsibilities

  • Gather patient-level screening and diagnostic data from partner primary care clinics, ensuring strict adherence to HIPAA and data-sharing agreements.
  • Assist in building and maintaining run charts and Statistical Process Control (SPC) charts to track screening rates, referral conversion, and diagnostic yield.
  • Prepare monthly and quarterly data summaries for the project team, our administering partner (HMA), and our sponsor.
  • Utilize AI tools and LLMs to automate data cleaning, synthesize qualitative feedback from clinical staff, and accelerate the generation of insights from screening trends.
  • Partner with the clinical team to support PDSA (Plan-Do-Study-Act) cycles, helping to document and measure the effectiveness of screening process changes in real-time.
  • Maintain rigorous standards for data accuracy, identifying and flagging anomalies in site-reported data.
  • Serve as a point of contact for clinic staff to facilitate smooth data transmission and resolve reporting bottlenecks.
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