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Angi

Senior Business Analyst, Commercial Analytics

Posted 2 Days Ago
Easy Apply
Remote or Hybrid
Hiring Remotely in New York, NY
105K-150K Annually
Senior level
Easy Apply
Remote or Hybrid
Hiring Remotely in New York, NY
105K-150K Annually
Senior level
The Senior Business Analyst will analyze data to optimize the connection between pros and homeowners, enhancing marketplace dynamics and revenue. Responsibilities include stakeholder engagement, predictive modeling, data visualization, and mentoring teammates.
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At Angi®, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want.

Angi at a glance:

  • Homeowners have turned to Angi for more than 300 million projects
  • 1,000+ home service tasks covered
  • 2,800 employees worldwide

Why join Angi:

Angi® is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. 

For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we’re an amazing place to call home. We can’t wait to welcome you.

About the team

The Commercial Analytics team at Angi is the engine that powers our two-sided marketplace. We are a highly analytical, detail-oriented group dedicated to optimizing the connection between the best Pros and the right homeowners. We’re a fast-paced team that thrives on complex problem-solving—and we’re looking for a motivated, strategic Senior Business Analyst to help us turn data into a competitive advantage.

What you’ll do

The Senior Business Analyst serves as a vital bridge between raw data and executive strategy, leveraging advanced data analysis, modeling, and visualization techniques to generate strategic insights for our Pro Capacity & Marketplace teams. This role will focus on understanding two-sided marketplace dynamics, with projects aimed at providing data-driven recommendations to ensure we are matching the best pros to the right homeowners, optimizing for revenue and customer experience. You will work closely with product, strategy, and operations teams to analyze service pro behavior and network performance. As a Senior Analyst, you will focus on providing data-backed recommendations that answer not just “what happened?”, but “what will happen?” and “what should we do?” to enhance the customer experience and grow the bottom line.

  • Strategic Partnership & Scope: Engage with cross-functional stakeholders in Product, Strategy, and Operations. Build lasting relationships to understand their analytical needs, align on project timing, and ensure data-driven decisions are at the heart of every initiative.
  • Marketplace Dynamics & Modeling: Analyze shifts in network trends to identify growth opportunities. Leverage advanced modeling (Python/R) to generate predictive and prescriptive insights that optimize revenue and marketplace health, supporting self-serve solutions to empower the broader organization.
  • Data Visualization & Narrative: Translate complex findings into clear, compelling stories to non-technical stakeholders through clear, compelling narratives and visualizations. Build and maintain high-impact dashboards (Looker, Tableau, or Power BI) that monitor key metrics in near real-time, allowing the team to remain agile in response to changing market conditions.
  • Lifecycle Data Management: Work alongside Data and Product teams to maintain accurate, scalable data solutions and enhance shared data resources. Follow best practices for data validation and quality assurance.
  • Innovation: Proactively seek out ways to leverage AI to streamline analytical workstreams and spark creativity. 
  • Mentorship: Document your findings to build the team’s collective knowledge base and embrace opportunities to share insights with peers and mentor junior team members.

Who you are

  • Bachelor's degree in Data Science, Economics, Statistics, Business, or a related field.  
  • 5+ years of analytical experience in an e-commerce, marketplace, or related field.  
  • Strong proficiency in SQL and data analysis tools such as Python or R.  
  • Expertise in data visualization tools such as Looker, Tableau, or Power BI.  
  • Demonstrated ability to apply predictive modeling techniques to solve business problems.  
  • Excellent communication skills with the ability to translate complex data into actionable business recommendations.  
  • Strong project management skills and the ability to manage multiple priorities in a fast-paced environment.  
  • Ability to leverage AI to streamline analytical workstreams.

We value diversity

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Compensation & Benefits

  • The salary band for this position ranges $105,000 - $150,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living.
  • This position will be eligible for a competitive year-end performance bonus & equity package.
  • Full medical, dental, and vision package to fit your needs.
  • Flexible vacation policy; work hard and take time when you need it.
  • Pet discount plans & retirement plan with company match (401K).
  • The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges in the marketplace industry.

#LI-Remote

Top Skills

Looker
Power BI
Python
R
SQL
Tableau
HQ

Angi Denver, Colorado, USA Office

Our brand new Headquarters opened in early 2019 in the trendy River North (RiNo) neighborhood of downtown Denver.

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