Lead Product Analyst
Posted on 9/8/2023

1,001-5,000 employees

Comprehensive solution for home needs
Company Overview
At Angi, they invest their resources into growing their business and their people. Angi's mission is to help the best consumers find the best service providers and promote happy transactions remains the same.
Indianapolis, IN, USA
Experience Level
Desired Skills
Data Analysis
Business Analytics
Data & Analytics
  • 5+ years of quantitative analysis in a business facing capacity. Strong preference at marketplace or B2C companies
  • 5+ years of SQL experience
  • 5+ years of experience in Tableau, Looker, or any comparable BI tool
  • 3+ years managing stakeholders
  • 3+ years of experience analyzing A/B/n and multivariate experiments
  • Experience managing or mentoring team members
  • Experience owning and delivering projects/programs both on your own and as a member of a broader team
  • Experience in Adobe Analytics or any comparable web analytics tool
  • Experience working with large scale data sets of varying granularities
  • Superior analytical, problem-structuring, and problem-solving skills; experience synthesizing data into actionable insights
  • Strong grasp of statistics and statistical software (R, Python, etc.). Excellent verbal and written communications skills
  • Ability to manage multiple projects simultaneously
  • Attention to detail, a sense of urgency, and relentless follow through
  • Bachelor's or Master's degree in a technical field such as Business Analytics, Engineering, Finance, Mathematics, Statistics, Economics, etc
  • Partner with product to enable key initiatives through discovery analysis, opportunity sizing, (A/B/N, User, Market) test set up and measurement, and MVP reporting
  • Enable self service analytics by creating best in class data & reporting assets
  • Help shape our product strategy and roadmap in order to optimize and grow our product by identifying opportunities for growth, retention, and areas of friction within the product
  • Partner with engineering to define data requirements for new products and features
  • Continue to upskill your technical skills - particularly how we use data to drive product strategy
  • Constantly strive to improve processes for our team to become more efficient - don't just accept the status quo