Data Scientist, Business Analytics

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Thumbtack

💵 $108k-$156k
📍Remote - United States

Summary

Join Thumbtack's Business Analytics team as a Data Scientist and work directly with the leadership team to analyze business performance and provide insights for strategic decision-making. You will define, measure, and track key success metrics, design and build data dashboards and tools, conduct in-depth analyses to answer critical strategic questions, and support the company's revenue forecasting model. Collaborate effectively with cross-functional teams, including Product, Engineering, Marketing, Operations, and Finance. Contribute to the team's data culture through collaboration, training, and coaching. This role requires 2+ years of professional experience, advanced SQL skills, experience with data visualization tools, and strong analytical and communication skills.

Requirements

  • 2+ years of professional experience
  • Advanced command of SQL
  • Experience with data visualization tools
  • Ability to develop compelling written narratives to explain analyses and make recommendations
  • Exemplary analytical problem solving skills and business judgment; ability to ask the right questions, identify missing information and synthesize insights from data
  • Effective collaboration with cross-functional partners (product marketing, finance, etc.) to think through product strategy and execution questions

Responsibilities

  • Define, measure, and track the key metrics that measure Thumbtack’s success
  • Design and build key company data tables, dashboards, and insights tools that power decisions across the company, and evolve them as our product and business change
  • Conduct in-depth analyses to answer key questions that are critical to Thumbtack’s strategy
  • Support and improve company revenue forecasting model, and forecasting/planning process
  • Partner effectively with teams across the company, including Product, Engineering, Marketing, Operations, Finance, as well as Thumbtack’s leadership team
  • Contribute to our team and company data culture through peer collaboration, training, coaching, and more

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