Data Analyst — Product Analytics

As a Data Analyst supporting the Client Group, you'll own the data work behind accurate, reliable client billing. You'll start with a focused mandate: reconciling billing data across internal systems, investigating and resolving discrepancies, and building the checks and documentation that make billing accuracy repeatable and durable. As that foundation takes hold, your scope will grow into ongoing work reducing client billing friction—streamlining processes, improving data flows, and proactively surfacing issues before they reach a client. This is a hands-on, high-ownership role for someone who is energized by getting numbers to tie out and by making a genuinely complex data landscape simpler.

Responsibilities

Reconcile and validate client billing data across multiple internal systems, investigating and resolving discrepancies to ensure accuracy and integrity; Build repeatable data-quality checks, reconciliations, and documentation that strengthen billing processes and controls; Partner directly with the Client Group to support timely, accurate client billing and to answer their most pressing data questions; Develop and maintain reporting, dashboards, and analyses that surface billing trends, risks, and anomalies; Over time, drive down client billing friction through process improvement, better data flows, and automation; Collaborate across Product Analytics, the Client Group, Finance, and Engineering to understand data sources and improve the systems that feed billing; Operate within an agile framework, prioritizing effectively as needs and priorities shift.

Requirements

5+ years of experience in an analytics, data, or finance-operations role; Advanced Excel skills (pivot tables, lookups, large-dataset manipulation, reconciliation); Strong SQL skills and comfort working with relational databases; Demonstrated experience reconciling data across systems and investigating and resolving discrepancies; Exceptional attention to detail and a high bar for data accuracy; Ability to navigate imperfect data and adjust to a dynamic environment with shifting priorities; Clear communicator who can work with both technical and non-technical stakeholders.

Nice to have

Experience with healthcare data (medical or pharmacy claims, accounts receivable); Familiarity with billing, revenue operations, or accounts-receivable processes; Experience building reporting or dashboards in a BI tool such as Looker or Tableau; Exposure to Google BigQuery, dbt, or similar data-warehouse tooling; Python or scripting experience (a plus, not a requirement); Understanding of data governance, data-quality frameworks, or internal controls.