Data Analyst, Finance & Revenue Operations

Curology’s mission is to make effective, personalized skincare accessible. We were founded by dermatologists who believe everyone should have access to skincare products that actually work. Today, our licensed dermatology providers have helped millions of patients across all 50 states make that mission a reality.

We combine expert medical care with personalized prescription formulas and dermatologist-developed skincare essentials to deliver science-backed solutions that meet people where they are. Join us in our mission to transform skin health and enhance lives—one patient at a time.

The mission of the Data Analyst, Finance & Revenue Operations is to create and maintain a single, trusted view of financial performance that enables Finance, Revenue Operations, and business leaders to make timely, high-confidence decisions.

Reporting to the Director of Data within the centralized Data & Analytics team, this role owns analytics across the finance domain—partnering closely with Finance and Revenue Operations to deliver reliable financial reporting, analyze revenue and unit economics, and translate complex data into clear, actionable insights. Working cross-functionally with analytics engineering and data engineering, the Data Analyst leverages modern data tools to build scalable, accurate, and decision-ready solutions.

• Own reporting and analysis for shipments, units, and gross revenue, ensuring alignment between financial systems (e.g., NetSuite) and the data warehouse (Snowflake).
• Build and maintain Tableau dashboards that support Finance, Revenue Operations, and leadership decision-making.
• Analyze and explain key performance metrics—including Conversion, Average Order Value (AOV), Retention, and Lifetime Value (LTV)—through a financial and unit-economics lens.
• Support enhancements to gross contribution and revenue models, validating logic and partnering with analytics engineering on model improvements.
• Partner on the in-house transition of repurchase and retention curves, supporting analysis, testing, and stakeholder alignment.
• Analyze Shopify financial data, including one-time vs. subscription purchases, break-of-box logic, and order- and line-item-level revenue dynamics.
• Use SQL and Python to perform exploratory, ad-hoc, and deep-dive analyses that surface insights and opportunities.
• Act as an analytics partner to Finance and RevOps while collaborating with other analysts across Data & Analytics to ensure metric consistency.
• Document metrics, definitions, and dashboard logic to support clarity, trust, and scalability.

Required Qualifications

• Strong proficiency in SQL, including experience writing complex analytical queries.
• Experience in financial, revenue, or business analytics, ideally in close partnership with Finance or Revenue Operations teams.
• Hands-on experience building and maintaining Tableau dashboards for business stakeholders.
• Solid understanding of conversion, retention, AOV, and LTV metrics and how they influence revenue and forecasting.
• Experience using Python for analysis (e.g., pandas, Jupyter notebooks).
• Strong communication skills, with the ability to translate analysis into clear, actionable insights for diverse audiences.
• Proficiency using AI (e.g., ChatGPT and Google Gemini) to accelerate analysis and communication — such as drafting SQL/Python approaches, summarizing findings, and generating documentation — while independently validating outputs for accuracy.
• Ability to use AI tools to speed up exploratory analysis (hypothesis generation, anomaly investigation, dashboard QA) without compromising metric integrity or financial reporting standards.

Nice to Haves

• Experience with Snowflake or modern cloud data warehouses.
• Familiarity with NetSuite or accounting-adjacent systems.
• Exposure to ecommerce or subscription-based business models.
• Experience working in a centralized analytics or data organization.
• Experience with AI-assisted coding/analysis workflows (prompt-driven SQL optimization, Python notebook acceleration, automated documentation) alongside strong analytics best practices.
• Familiarity with AI-enabled analytics features within tools like Tableau or modern data platforms to improve dashboard usability, data quality checks, or stakeholder self-serve.

• Pittsburgh or San Diego is preferred

• 💰 Competitive compensation and equity package (RSUs)
• 🥼 Comprehensive benefits: Medical, dental, vision, FSA and HSA, supplemental coverages (critical illness, accident, hospitalization), and 401(k)
• 🧘🏻‍♀️ Access to wellbeing perks, including OneMedical, Spring Health, SoFi, and Employee Assistance Program
• 🌴 Flexible paid time off and holiday policy
• 🐣 Paid parental leave (birthing and non-birthing parents)
• 💜 Employee donation matching program
• 🫱🏻‍🫲🏽 Culture Committee and employee resource groups for virtual and in-person connectivity
• ✨ Complimentary VIP Subscription to Curology or Agency, plus online retail discount

The estimated base salary range for this role is $120,000 – $140,000 per year, plus a competitive equity package and benefits. Actual compensation will be determined based on several factors, including location, skills, experience, and job-related expertise.

*Subject to change based on role

• 30 minute Recruiter screen (phone)
• 30-45 minute interview with a Hiring Manager (Google Meet or Zoom)
• 30-45 minute peer interview(s) (Google Meet or Zoom)
• 30-45 minute final round interview with Hiring Manager or Team Leader (Google Meet or Zoom)

Candidates Using AI:

At Curology, we invest in responsible use of AI tools to help our teams innovate and solve challenges. Please feel free to use AI to:

• Refine and polish your application materials
• Research Curology and the role
• Prepare for your interviews

Please refrain from using AI tools during live interviews, unless our hiring team has instructed you otherwise. (Note: These guidelines do not apply to reasonable accommodations. If you require a reasonable accommodation at any point during our interview process, please notify your recruiter.)

Curology’s Operating Principles:

• One Curology, One Team
• Be Candid, Then Commit
• Lead with Curiosity
• Trust but Verify
• Use Peripheral Vision
• Move Quickly, Think Deeply
• Protect Trust at Every Touchpoint

Equal Employment Opportunity: Curology provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any kind. Employment decisions are made without regard to race, color, religion, creed, ancestry, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, genetic information, disability status, military or veteran status, or any other characteristic protected by federal, state, or local law.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Curology is committed to creating an inclusive environment where all team members feel welcomed, supported, and empowered to do their best work.

Fair Chance Statement: In accordance with the San Francisco Fair Chance Ordinance and other applicable laws, Curology will consider qualified applicants with arrest and conviction records for employment in a manner consistent with those requirements. 

CCPA Notice: As required under the California Consumer Privacy Act (CCPA), applicants residing in California can review our Privacy Notice to California Employees, Contractors and Applicants to learn more about how we collect and use personal information.

Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.