Senior Data Scientist, Business Analytics

🕒 September 23

🇨🇦 Canada – Remote

💵 $168.3k - $217.8k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

Where this job comes from

Posted on Thumbtack's careers page, not through a job board

First seen by Remote Rocketship September 23

Still open on Thumbtack's site. Checked 6 hours ago.

Logo of Thumbtack

Thumbtack

1001 - 5000 employees

👥 B2C

🏪 Marketplace

B2C • Marketplace • Home Services

Thumbtack is a platform that connects people with local professionals offering various services such as home improvement, repair, and cleaning. Users can search for specific services like house cleaning, handyman work, electrical and wiring repair, and more, getting access to trusted professionals with reviews and cost estimates. The platform is designed to make finding, hiring, and working with professionals simple and efficient, with the convenience of managing everything from one app. It serves millions of people across the U. S. , providing a wide range of services including landscaping, event planning, and more.

📋 Description

• Define, monitor, and report on key metrics measuring Thumbtack’s success • Lead business performance analysis and reporting for leadership • Conduct deep-dive analyses informing future strategy • Support and improve the company revenue forecasting model and broader forecasting and planning process • Build and maintain dashboards and self-serve tools • Partner with Product, Engineering, Marketing, Operations, Finance, and leadership to translate insights into action • Strengthen the data culture through peer collaboration, review, training, and coaching

🎯 Requirements

• 6+ years of experience in a highly analytical role, preferably in tech; experience in a marketplace or two-sided platform business is a plus • Proficiency using SQL and Python or R to analyze large data sets • Solid statistics foundation • Strong business judgment and comfort navigating ambiguity • Ability to synthesize insight from analysis • Experience partnering with executives to understand business needs and drive decisions • Strong communication skills across technical and non-technical audiences • Experience using AI to automate workflows and enable self-serve analytics • Experience with revenue modeling and forecasting, ideally in a high-growth or public company environment

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