Data Analyst

About the role

What you’ll do

• Identify and evaluate opportunities to productize data, analytics capabilities, and AI-driven features.
• Work with Product to scope reporting for new features and keep reporting aligned with product enhancements.
• Translate customer and business needs into data requirements for Product, Engineering, and technical data partners.
• Lead customer-facing data and reporting, including dashboards, reports, and standardized processes for bespoke requests.
• Prepare customer materials and join key customer and prospect meetings as the data representative.
• Resolve customer reporting issues as the primary escalation point.
• Partner with Sales, BizOps, and other functions on dashboards, customer-facing materials, and data tools for internal workflows.
• Use recurring requests to recommend improvements to processes, dashboards, documentation, and product functionality.
• Support internal data initiatives, including developing training cadences.

What you’ll bring

• 1–2 years in data or product analytics, strategy consulting, business operations, or a similar analytical role.
• Bachelor’s degree in Business, Computer Science, Engineering, or a related field.
• Hands-on BI and reporting tool experience; Omni, Looker, Metabase, Tableau, Power BI, or similar platforms are strongly preferred.
• Strong Excel or Google Sheets skills, including complex array or lookup formulas and robust modeling.
• Experience working with customers or stakeholders to gather requirements, validate ideas, communicate insights, and manage feedback.
• Track record of delivering data initiatives from problem definition through delivery, including backlogs, trade-offs, and cross-functional alignment.
• Strong written and verbal communication, ability to connect technical features to customer and business outcomes, ownership, and independence.
• Preferred: strategy consulting or customer-facing analytics; data products in B2B SaaS, health tech, or healthcare operations; product usage analytics, benchmarking, data exports, or recurring reporting.
• Preferred: strong SQL, relational database design, and exposure to modern data stack, warehouse, or analytics engineering workflows.

Benefits and perks

• Benefits include competitive salary and equity, flexible paid time off, medical, dental, and vision coverage, and company off-sites.

Company overview