Staff Finance Data Analyst Job at Harnham in San Francisco

Get AI-powered advice on this job and more exclusive features. Compensation : $180-240k base + equity Are you ready to drive high-impact decisions at the intersection of finance and data? Join a rapidly growing Series E company at the cutting edge of AI-powered web development, and help shape the future of technology innovation. We’re looking for a Staff Finance Data Analyst to take charge of financial analytics initiatives, bridging the gap between Finance and Data teams. In this role, you’ll be instrumental in creating trusted financial models, designing impactful forecasts, and delivering strategic insights that will guide key business decisions and fuel our continued growth. What You’ll Do: Model Usage-Based Economics : Build and maintain dbt models in Snowflake, transforming raw product telemetry into clear financial views (ARR, margin, unit economics). Forecast & Scenario Analysis : Use Python-driven Monte Carlo and statistical models to forecast revenue, costs, and gross margin under multiple scenarios. Lead Variance & Root-Cause Analysis : Dive deep into revenue, COGS, and operating expenses, explaining plan vs. actual variances and identifying key business drivers. Simulate Pricing & Packaging Changes : Collaborate with Product Monetization to model the impact of new pricing tiers, overage bands, and feature gates. Automate Financial Reporting : Develop self-serve dashboards (e.g., Hex, Mode, Looker) trusted by Finance, ELT, and Board stakeholders during the month-end close. Enhance Data Quality : Define and implement data-quality SLAs, ensuring that all revenue and cost metrics are fully auditable. Mentor & Guide : Provide best-practice guidance on dbt design patterns, Snowflake optimization, and Python analytical tooling for analysts and engineers. What We’re Looking For: Experience : 7+ years in analytics or data science roles, with a focus on finance (experience with SaaS or usage-based business models preferred). Technical Expertise : Hands-on experience with dbt (production models, testing, CI/CD) and Snowflake (performance tuning, RBAC, cost management). Advanced Skills : Strong proficiency in SQL and Python (pandas, scipy/statsmodels, Prophet) for forecasting, scenario modeling, and statistical analysis. Business Intelligence Tools : Experience with BI tools such as Looker, Hex, Mode, Tableau. Financial Acumen : Deep understanding of SaaS/cloud economics including MRR/ARR, COGS allocation, gross margin, LTV/CAC, churn, and cohort retention. Experience in Usage-Based Pricing : Proven track record in building usage-based pricing models and forecasting frameworks from raw event data. Strong Communicator : Ability to convey complex data insights to executive audiences and collaborate effectively with engineers. Educational Background : Bachelor’s or Master’s in Finance, Economics, Statistics, Data Science, or a related field. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Analyst Industries Technology, Information and Media and Data Infrastructure and Analytics Referrals increase your chances of interviewing at Harnham by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Data Analyst” roles. Oakland, CA $124,000.00-$135,000.00 1 week ago Analyst Data Analytics - US Based Remote San Francisco, CA $39.67-$41.03 3 days ago Data Analyst - Customer & Marketing Analytics Dublin, CA $70,200.00-$146,300.00 2 weeks ago Senior Data Analyst - Performance Marketing Mountain View, CA $107,712.00-$181,940.00 2 weeks ago San Francisco Bay Area $140.00-$150.00 4 hours ago San Francisco, CA $85,000.00-$145,000.00 1 day ago Medical Affairs, Data Analyst (Healthcare & Scientific) Palo Alto, CA $150,000.00-$200,000.00 6 hours ago San Francisco, CA $126,100.00-$186,800.00 5 days ago Brisbane, CA $161,000.00-$185,000.00 20 hours ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr