Lead Insights Analyst, Customer Insights
Confirmed live in the last 24 hours
Grow Therapy
Compensation
$152,000 - $177,000/year
Job Description
About Us:
Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.
The Opportunity:
We’re looking for an experienced Lead Customer Insights Analyst for the Business Operations team who is passionate about improving the landscape for mental healthcare.
You will be responsible for working with Operations and Cross-Functional Leadership to drive improvements in the end-to-end, holistic customer experience across Grow Therapy touchpoints. You will surface, size, and prioritize opportunities that meaningfully improve customer satisfaction & business outcomes – including client/provider sentiment, touchpoint satisfaction, and operational excellence.
You will approach Insights projects both creatively and analytically, using different tools in your toolkit to help decision-makers understand the current state, pain points, and actionable solutions. You should have intermediate SQL skills, able to combine operational data across multiple sources to paint a full picture of the available data about customers. You should also have a strong skillset in building presentations, visualizing data, and synthesizing insights across different sources to drive alignment & action towards solutions. A “nice-to-have” is if you have some experience working with survey data, including dashboarding longitudinal survey data. Some projects will also involve process/journey mapping, stakeholder ideation & design thinking workshop facilitation, survey methodology, or conducting primary research with customers; you ideally either have experience/exposure in some of these skills, or are a quick learner with a keen interest in this type of work.
This is an ideal role for candidates who either have a background in quantitative UX research & insights (with a strong SQL skillset) or a background in data analytics with strong presentation & communication skills (interested in pivoting to an insights role).
What You’ll Be Doing:
- Analyzing customer sentiment data collected from internal users & external audiences to identify pain points & opportunities
- Pulling internal data across different data sources to size impact on KPIs
- Creating presentations that combine quantitative findings with qualitative insights
- Working with various Business Operations stakeholders on identifying key questions, translating to a project plan, and sharing back findings & recommendations
You’ll Be a Good Fit If:
- 4+ years of experience in an analytical role, with intermediate SQL and some experience with dashboarding software
- Healthcare experience in either the patient, provider, or payor spaces
- Experience working with projects that use data to drive improvements in customer experiences
- Love building presentations & data visualizations – telling both the customer story and the business impact
Employment Type: Full Time, Exempt
Base Compensation: The base compensation range for this position is
Hybrid Commitment: $152,000–$177,000 USD Annually
This role can be hybrid (onsite from our NYC location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department offsites).
The base compensation for this role will vary depending on several factors, including relevant experi
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