Analytics Engineer

Role DetailsLocation: This role is based 3 days per week out of our San Francisco, HQ and is not eligible for full-time remote work.Compensation: The annual cash compensation range for this position is $170,000-$225,000 in addition to equity & benefits.The range displayed on this job posting reflects the minimum and maximum compensation. Factors including location, level, job-related knowledge, skills, and experience will determine compensation.About GemGem is the only AI-first all-in-one recruiting platform. Over 1,000 industry leaders including Anthropic, Reddit, Figma, Zillow, Robinhood, and DoorDash trust Gem to fuel their growth and recognize Gem as one of the highest-satisfaction products on G2 with a 4.8/5.0 rating. The company has raised $148M from renown investors including Accel, Greylock, ICONIQ, Sapphire, and Meritech.With Gem, You Can Experience The Power Of a Truly Connected Recruiting Platform — One Consistent Interface, Unified Data, Smarter AI Recommendations, And Simplified Permissions. Our Customers Achieve Remarkable ResultsCut costs through consolidation: Replace your scattered recruiting tools with one AI-powered platform for ATS, CRM, sourcing, scheduling, and analytics. Reduce spend on expensive sources of talent and eliminate redundant point solutions.Maximize recruiter productivity: Get up to 5x efficiency gains with AI built into every workflow — from sourcing talent and reviewing applications to scheduling interviews and managing candidates. With all products working better together, recruiters spend less time switching systems and more time building relationships.Unlock data-driven recruiting: Get access to analytics across the recruiting funnel without complex BI tools. From pipeline metrics to hiring forecasts, Gem helps you make data-driven decisions and demonstrate impact.Use AI that actually works: Get better results from AI that learns from all your recruiting data. With insight into every candidate touchpoint and interaction, Gem AI makes smarter decisions about who to engage and how.Work with software built for recruiters: Use a platform designed around how recruiters actually work, not a collection of technical features. Quick implementation, intuitive workflows, and clear analytics make Gem the solution teams actually use and trust.Just As We Strive To Help Our Customers Find Great Talent, We Also Invest In Our Own People And Culture. We Are Proud Of The Culture We've Built And Have Recently Been Recognized AsForbes America's Best Startup Employers 2024Great Place to Work Certified, 2024Fortune Best Workplaces for Millennials, 2023The Team & RoleYou will be a founding member of our analytics team, responsible for transforming raw data into products for our customers and colleagues. This includes building/ maintaining/ improving our data pipelines and reports, architecting product usage event taxonomy, designing metrics to measure success, and running in-depth investigative analyses. As data at Gem becomes more complex, you will also help us shape how we scale the analytics team, identify opportunities for tech stack improvements, and lead the charge on enforcing best practices.What You'll Do Day-to-DayBuild and manage core data assets (infrastructure, models, reports, and automation) that ensure teams can self-serve accurate, reliable insightsWork cross-functionally to define and track metrics that drive product adoption and revenue growthConduct custom analyses to support customers and drive decisionsIdentify and execute on opportunities where data and analytics can have significant impactImprove our processes for maintaining high quality data and reportingDrive continuous improvement initiatives by analyzing workflow inefficiencies and recommending data-driven solutions that reduce manual processes and improve team productivityAbout YouYou're a critical thinker with strong business and product intuition. You stay on top of best practices, but are also unafraid to solve problems from first principles.You're extremely analytical. You sweat the details and like to think things through in a very methodical, structured way.You're comfortable communicating complex analytical concepts to others in a concise, articulate manner and enjoy collaborating cross-functionally to get things done.You're capable of prioritizing your work, setting clear expectations, and delivering against those expectations.Qualifications- 2.5+ years working experience as an Analytics Engineer, Data Analyst, or Data Scientist- Strong proficiency in SQL (dbt experience preferred) and BI tools (Looker preferred) with a deep understanding of dimensional modeling and transformation- Bachelor's degree in Economics, Finance, Statistics, Engineering, or other quantitative disciplines strongly preferredExperience operating in a scrappy, dynamic startup environment (companies with