Lead Insurance Data Analyst

Who are we and why should you join us?

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.

As the Lead Insurance Data Analyst at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.

What are we looking for?

We are looking for this candidate to possess experience in the healthcare sector, specifically within a data analysis role at a provider organization. They should have a solid understanding of the general documentation, billing, and follow-up processes that providers do with insurance companies.

This candidate should also be comfortable working with disparate data sets and joining them together for consolidated analyses, think CSVs, JSON, and writing SQL queries across multiple databases.  They should also have strong communication skills to ensure the data is well understood and creates actionable insights.  Experience with BigQuery, Looker, Mode, de-identification of PHI, AI-assisted analysis, and utilizing API calls to retrieve data is a plus.

What will you do?

• Proactively review trends in outstanding A/R, denials, and various payment issues to find areas of opportunity for the department
• Pull and join multiple data sources together, including the use of SQL, API calls for data, and downloading reports from internal system into Excel or Google Sheets
• Communicate findings and recommendations with department and cross functional leadership for areas of improvement
• Create monthly reporting packages to keep leadership informed of key metrics
• Support ad hoc data requests from leaders to support operational tasks
• Mentor future hires into the department on best practices and procedures for data analysis
• Work with the RCM Operations Manager, Product, and External Vendors to influence healthcare data strategy
• Identify opportunities to automate analyses and provide AI driven insights to increase overall department performance

What will you NOT do?

• You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
• You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
• You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
• You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.

Requirements

• 5+ years of experience in the healthcare space, preferably in an existing role performing data analysis and opportunity identification in billing and follow-up functions with insurance companies on behalf of providers
• Significant understanding of the claim submission process and common pain points that delay reimb