Data Analyst
Posted on 9/20/2023
INACTIVE
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.
Consumer Goods
Company Stage
IPO
Total Funding
$225.5M
Founded
2017
Headquarters
Denver, Colorado
Growth & Insights
Headcount
6 month growth
↑ 10%1 year growth
↑ 17%2 year growth
↑ 56%Locations
Denver, CO, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Business Analytics
R
Sales
SQL
Python
CategoriesNew
Sales & Account Management
Data & Analytics
Requirements
- Bachelor's degree in a technical field such as Business Analytics, Engineering, Finance, Economics, etc
- 1-4+ years of professional experience in an analytical role
- Advanced Excel and SQL experience, knowledge of relational databases
- Strong grasp of statistics, with experience in statistical languages (R, Python, etc.)
- Superior analytical, problem-structuring, and problem-solving skills; experience synthesizing data into information, and presenting concise analyses
- Ability to manage multiple projects simultaneously and willingness to quickly pivot into new tasks as needed
- Ability to validate results of analyses by reconciling with data from other sources
Responsibilities
- Be a valuable partner to the leadership teams across different business units, providing data-driven insights and analyses
- Learn the complex Angi ecosystem and be the subject matter expert on all data and objectives relating to the operations team you support
- Gauge the performance of A/B tests to better understand the impact of offer strategy on sales conversion and customer lifetime value
- Understand sales rep compensation outcomes relative to value production and identify areas for improvement
- Analyze the effectiveness of our dialing cadence and the leads we dial
- Build new models and improve on existing models used for forecasting rep headcount, attrition, productivity, and compensation expenses