Curology

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Data Analyst, Finance & Revenue Operations

Data AnalystData AnalystFull TimeRemoteTeam 501-1,000Since 2014H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

9 days ago

Salary

$120K - $140K / year

Bachelor DegreeEnglishCloudPandasPythonSQLTableau

Job Description

• 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.

Job Requirements

  • 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.

Benefits

  • 💰 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

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