Sr. Data Scientist, Business Analytics

Job summary

The role involves defining and monitoring key performance metrics while leading deep-dive analyses to drive marketplace strategy. You will partner with cross-functional teams to translate data insights into actionable business decisions and improve revenue forecasting models.

Job details

Thumbtack helps millions of people confidently care for their homes. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. About the Business Analytics Team The Business Analytics team unlocks strategic opportunities and enables Thumbtack to reach its full business potential. We own the metrics, dashboards, and forums that measure progress against company goals and build shared understanding of how the marketplace works. We run the deep-dive analyses that shape company strategy and team execution, and we use data to tell Thumbtack’s story to our team, our investors, and our Board. We are a tight-knit group that partners directly with leadership and cares as much about building a world-class team as we do about driving business impact. About the role As a Sr. Data Scientist on Business Analytics, you’ll drive insights and action across the breadth of the marketplace, with a particular focus on conversion and monetization. You’ll be a steward of key company metrics and dashboards, and you’ll dive deep on the analytical questions most critical to Thumbtack’s success. You’ll partner with our leadership team to develop company strategy and goals, share performance updates with the Board, and work across Product, Engineering, Marketing, Operations, and Finance to turn analysis into decisions. This is a high-visibility role for someone who wants their work to change what the company does next. What you’ll do Define, monitor, and report on the key metrics that measure Thumbtack’s success Lead business performance analysis and reporting that surfaces emerging risks and opportunities for leadership Conduct deep-dive analyses that answer the questions most critical to Thumbtack’s future strategy Support and improve the company revenue forecasting model and the broader forecasting and planning process Build and maintain the dashboards and self-serve tools that teams across the company rely on Partner with Product, Engineering, Marketing, Operations, Finance, and the leadership team to translate insight into action Strengthen our data culture through peer collaboration, review, training, and coaching In order to be successful, you must bring 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 Exemplary analytical problem solving: a solid statistics foundation, strong business judgment, comfort navigating ambiguity, and the ability to synthesize insight from analysis Experience partnering with executives to understand business needs and drive decisions Strong communication skills — an attentive listener and a compelling explainer across technical and non-technical audiences Experience with 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 Expected salary ranges For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $168,300.00 - $217,800.00. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com. For information about how Thumbtack collects, uses, and shares personal information about job applicants, please see our Job Applicant Privacy Policy. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes.

What you’ll do

The role involves defining and monitoring key performance metrics while leading deep-dive analyses to drive marketplace strategy. You will partner with cross-functional teams to translate data insights into actionable business decisions and improve revenue forecasting models.

Requirements

Candidates must have 6+ years of experience in a highly analytical role, preferably within a tech or marketplace environment. Proficiency in SQL and Python or R is required, along with strong communication skills and experience in revenue modeling.

Listed skills

• SQL · Preferred
• Problem solving · Preferred
• Data analysis · Preferred
• Communication · Preferred
• Python · Preferred
• Forecasting · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• R
• Data Analysis
• Revenue Modeling
• Forecasting
• Business Analytics
• Statistical Analysis
• Dashboarding
• Strategic Planning
• Marketplace Analytics
• Communication
• AI Automation
• Problem Solving
• Emerging Risk
• Revenue Forecasting
• Workflow Automation
• Planning
• Artificial Intelligence
• Blueprinting
• Business Continuity Planning
• Dashboard
• Finance
• R (Programming Language)
• Leadership
• Python (Programming Language)
• Marketing Operations
• Performance Analysis
• Product Engineering
• Coaching
• SQL (Programming Language)
• Statistics
• Data Science

Job areas

• Data & Analytics
• Technology
• Finance & Accounting
• Management & Leadership
• Data Analytics Scientist
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

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