Staff Finance Data Analyst

Harnham; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Harnham is seeking a Staff Finance Data Analyst to drive financial analytics initiatives at a cutting-edge AI company. In this role, you will create trusted financial models, deliver strategic insights, and bridge the gap between finance and data teams, contributing to impactful business decisions.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• 7+ years in analytics or data science roles focused on finance.
• Strong proficiency in SQL and Python for forecasting and analysis.
• Experience with SaaS or usage-based business models preferred.

Responsibilities

• Build and maintain dbt models in Snowflake for financial views.
• Use Python-driven Monte Carlo models for revenue forecasting.
• Automate financial reporting with self-serve dashboards.

Skills

Financial Modeling

Statistical Analysis

Data Visualization

Forecasting

SQL

Python

Communication

Education

Bachelor’s or Master’s in Finance, Economics, Statistics, Data Science

Tools

dbt

Snowflake

Looker

Tableau

Job description

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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

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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