Data Analyst — Product Analytics

2 нед. назад

96k–124.5k USD / yearRemote

data analysisbilling data reconciliationdata documentation

Data Analyst supporting Product Analytics team focused on client billing data reconciliation, accuracy, and process improvement.

Обязанности

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.

Требования

52+ 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.

Будет плюсом

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.

Другое

is on a mission to transform type 2 diabetes and weight-loss care. Current treatment approaches aren't working—over half of US adults have either type 2 diabetes or prediabetes, and obesity rates are at an all-time high. Virta is changing this by helping people reverse their metabolic condition through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and take back their lives.
The Product Analytics team harnesses data to shape decisions across Virta. In this role you'll sit on Product Analytics and partner closely with our Client Group, turning messy, cross-system billing data into accurate, trustworthy answers that keep our client relationships running smoothly.
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.
Virta's company values drive our culture, so you'll do well if:
You put people first and take care of yourself, your peers, and our patients equally
You have a strong sense of ownership and take initiative while empowering others to do the same
You prioritize positive impact over busy work
You have no ego and understand that everyone has something to bring to the table regardless of experience
You appreciate transparency and promote trust and empowerment through open access of information
You are evidence-based and prioritize data and science over seniority or dogma
You take risks and rapidly iterate
Is this role not quite what you're looking for? Join our Talent Community and follow us on Linkedin to stay connected!
As part of your duties at Virta, you may come in contact with sensitive patient information that is governed by HIPAA. Throughout your career at Virta, you will be expected to follow Virta's security and privacy procedures to ensure our patients' information remains strictly confidential. Security and privacy training will be provided.
Virta has a location based compensation structure. Starting pay will be based on a number of factors and commensurate with qualifications & experience. For this role, the compensation range is $96,000 - $124,500 Information about Virta’s benefits is on our Careers page at:.
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As part of your duties at Virta, you may come in contact with sensitive patient information that is governed by HIPAA. Throughout your career at Virta, you will be expected to follow Virta's security and privacy procedures to ensure our patients' information remains strictly confidential. Security and privacy training will be provided.
As a remote-first company, our team is spread across various locations with office hubs in Denver and San Francisco.
Clinical roles: We currently do not hire in the following states: AK, HI, RI
Corporate roles: We currently do not hire in the following states: AK, AR, DE, HI, ME, MS, NM, OK, SD, VT, WI.
Virta uses Ashby as its applicant tracking system, which incorporates AI-powered tools (provided by OpenAI, AWS, and Google Gemini) in certain aspects of the recruiting process, including application review, candidate screening, and interview note taking; your data is not used to train AI models, and all final hiring decisions are made by personnel. For more information, see Ashby's AI Terms at
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