Data Analyst — Product Analytics

Accountabilities:

• • Reconcile and validate client billing data across multiple internal systems, investigating discrepancies and driving them through to resolution.
  • Build repeatable data-quality checks, reconciliation processes, documentation, and controls that improve billing accuracy and reliability.
  • Partner directly with Client Operations to support timely and accurate billing and answer high-priority data questions.
  • Develop and maintain reporting, dashboards, and analyses that highlight billing trends, risks, anomalies, and opportunities for improvement.
  • Identify and implement process improvements that reduce client billing friction, strengthen data flows, and increase operational efficiency.
  • Explore opportunities to automate recurring reconciliation, reporting, and data-quality workflows.
  • Collaborate with Product Analytics, Finance, Engineering, and other stakeholders to understand source systems and improve the data infrastructure supporting billing.
  • Work effectively in an agile environment, balancing multiple priorities and adapting quickly as business needs evolve.
  • Maintain a high standard of data integrity when working with complex and imperfect datasets, including sensitive information subject to healthcare privacy requirements.

  Requirements:

  • Experience: At least 2 years of experience in analytics, data, finance operations, or a closely related role. (The source description appears to contain a typo stating “52+ years”; this has been interpreted as 2+ years.)
  • Advanced Excel skills, including pivot tables, lookups, large-dataset manipulation, and data reconciliation.
  • Strong SQL skills and confidence working with relational databases.
  • Demonstrated experience reconciling data across multiple systems and investigating and resolving discrepancies.
  • Exceptional attention to detail and a consistently high standard for data accuracy and integrity.
  • Ability to work effectively with imperfect or incomplete data while maintaining sound analytical judgment.
  • Strong prioritization skills and adaptability in a dynamic environment where requirements and priorities can shift.
  • Clear written and verbal communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
  • Strong ownership mindset, initiative, curiosity, and a willingness to identify problems and improve processes proactively.
  • Nice to have: Experience working with healthcare data, including medical or pharmacy claims or accounts receivable.
  • Nice to have: Familiarity with billing, revenue operations, or accounts-receivable processes.
  • Nice to have: Experience creating dashboards or reporting in BI platforms such as Looker or Tableau.
  • Nice to have: Exposure to BigQuery, dbt, or comparable data-warehouse technologies.
  • Nice to have: Python or scripting experience.
  • Nice to have: Knowledge of data governance, data-quality frameworks, or internal controls.

  Benefits:

  • Competitive salary range of $96,000–$124,500, depending on qualifications, experience, and location.
  • Equity opportunities.
  • Fully remote, remote-first work environment.
  • Office hubs available in Denver and San Francisco.
  • Opportunities to work on meaningful healthcare and data challenges with cross-functional teams.
  • A collaborative, transparent, evidence-based culture that values ownership, initiative, and positive impact.
  • Opportunities to improve processes and introduce automation in a growing Product Analytics organization.
  • Training and procedures to support the secure handling of sensitive, HIPAA-protected information.
  • Comprehensive employee benefits, with offerings available through the company's careers and benefits program.
  • A culture that emphasizes employee well-being, trust, empowerment, continuous learning, experimentation, and rapid iteration.
  • Eligibility and compensation may vary based on the employee's location; certain states may be excluded from hiring eligibility.