Data Analyst, Merge

• Degree in data science, computer science, statistics, or a similar quantitative field
• 2+ years in analytics, data science, insights, or a technical GTM / BizOps role
• Strong SQL. You write clean, structured queries on large datasets, and whether you wrote them yourself or an AI assistant did, you own the correctness of every result before it reaches a stakeholder
• Working knowledge of dbt. You'll use and extend existing models without needing to own a full warehouse build
• Working Python for analysis and automation, including AI-enabled workflows that reduce manual reporting overhead
• Writing that carries a finding. You can take an analysis and produce something a marketer, a seller, or a customer reads once and understands

Desirable

• We're hiring a Data Analyst to find the insights that drive our growth.
• You'll work directly with leadership on product and market strategy, shape how we make decisions as an engineering team, and influence how Merge presents itself to the world
• If you want to dig into data no one has looked at, find the thing worth saying, and have your analysis be the reason we went left instead of right, this is the role
• Dig into our product, customer, and market data to find patterns worth acting on and raise questions before anyone else discovers them
• Work with engineering and design to build dashboards and frontend analytics that give customers a reliable view of what's happening in the product
• Partner with product marketing and sales to turn findings into campaigns, launch assets, and the numbers behind the pitch + the methodology to back them up
• Field requests from across the business and decide what warrants a deep dive, a quick pass, or a later response
• Analyze product usage data (onboarding funnels, feature adoption, dashboard engagement) to identify opportunities to improve the customer journey
• Turn one-off analyses into repeatable internal tools and self-service resources so the next request is faster than the last