Data Strategy & Sourcing Analyst
Transforms raw product and vendor data into a single source of truth, using SQL and BI tools to drive sourcing optimization, cost savings, and vendor rationalization.
Product Analyst
Product Analyst supports financial modeling, revenue/margin insights, pricing strategy, and data-driven decisions at the intersection of product strategy and finance. Collaborates with Product, Engineering, and Sales using SQL and AI tools; ideal for early-career analysts with a bachelor's degree.
90k – 118kBellevue, WAData AnalyticsOnsite1+ YOE
About the role
Responsibilities
- Support Financial Model Development: Contribute to the building and maintenance of financial models that track both revenue and cost drivers, enabling accurate forecasting and real-time visibility into workload contribution margins.
- Contribute to Revenue & Margin Insights: Assist in analyzing historical and forward-looking trends for revenue, COGS, and margin to support actionable recommendations that influence pricing, packaging, and go-to-market strategies.
- Support Pricing Strategy Analysis: Help analyze usage patterns, customer segments, and willingness to pay to support pricing and packaging decisions. Contribute data-driven analysis that balances growth and margin, and assist in measuring the impact of pricing changes. Partner with Product, Finance, and Sales to understand and operationalize pricing strategies.
- Collaborate with PMs and Sales: Work alongside Engineering, Product Managers, and Sales to evaluate new product features or market opportunities. Support business case development by providing data-driven insights into revenue potential and profitability. Communicate complex technical or financial concepts in a succinct, easy-to-understand manner to stakeholders at all levels.
- Data-Driven Insights (SQL): Find the "why" behind the numbers. Develop proficiency in navigating complex data structures and business drivers to deliver timely and accurate insights.
- Accelerate Insights with AI: Leverage Snowflake Intelligence and AI-assisted SQL daily to automate manual reporting and speed up insight discovery process.
- Help Build Scalable Reporting & Tooling: Translate data findings into automated, high-visibility dashboards for Product and Finance leaders.
- Assist in Cloud Spend & Infrastructure Optimization: Identify and flag abnormalities in infrastructure spend to maintain healthy margins and support recommendations to reduce COGS/OpEx.
Requirements
- Bachelor's Degree in Finance, Data Science, Computer Science, Economics, or related field.
- 1–2 years of experience (recent graduates or up to 1 year professional experience; internships count).
- Strong analytical aptitude and learning mindset.
- Technical agility (SQL preferred; coding experience a plus).
- Exposure to revenue & business analysis (familiarity with revenue, COGS, margin).
- Ownership, problem-solving, exceptional communication, continuous improvement mentality.
Skills
SQLSnowflakeFinancial ModelingData AnalysisDashboardsAi-Assisted SqlRevenue AnalysisPricing AnalysisBusiness IntelligenceSalesforce
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