
Analytics Engineer
iHeartMedia
full-time
Posted on:
Location Type: Remote
Location: California • New York • United States
Visit company websiteExplore more
Salary
💰 $80,600 - $100,750 per year
Job Level
About the role
- As an Analytics Engineer you will derive impactful insights from data to drive intelligence for Unified and its clients.
- You will work with your fellow team members to define and scope solutions to solve complex problems.
- You will help build, improve, and test robust reporting and statistics solutions that will drive impact throughout the organization.
Requirements
- 1-3+ years advanced programming skills in Python
- Proficiency in SQL and knowledge of RDBMs like Postgres and Redshift
- Experience with ETL processing and data wrangling including fetching, munging, cleaning, pivoting, analyzing, aggregating, distributing, and visualizing
- Basic knowledge of statistics, algorithms, data structures, and machine learning
- Experience with digital advertising technology
- Experience with AWS
- Experience with Spark and the big data ecosystem
- Experience using Git and the Unix command-line
- Familiarity with Airflow and Docker
- Familiarity calling RESTful web services, specifically social APIs (Facebook, Twitter, LinkedIn, YouTube, etc.)
- Familiarity with BI tools (Tableau, Sisense)
- Bachelor’s or higher in a quantitative field
Benefits
- Employer sponsored medical, dental and vision with a variety of coverage options
- Company provided and supplemental life insurance
- Paid vacation and sick time
- Paid company holidays
- A Spirit day to encourage and allow our employees to more easily volunteer in their community
- A 401K plan
- Employee Assistance Program (EAP) at no cost – services include telephonic counseling sessions, consultation on legal and financial matters, emotional well-being, family and caregiving
- A range of additional voluntary programs, such as spending accounts, student loan refinancing, accident insurance and more!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLETL processingdata wranglingstatisticsalgorithmsdata structuresmachine learningSparkbig data
Soft Skills
problem solvingcollaborationcommunication