Analytics Engineer
iHeartMedia · New York, United States
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- Hybrid
- Full-time
- $90,000 / year
- New York, United States
Job highlights
- Derive insights from data to drive intelligence.
- Collaborate to define and scope complex problems.
- Build, improve, and test reporting solutions.
- Utilize Python, SQL, and data wrangling skills.
- Opportunity to innovate and solve new problems.
About the role
About iHeartRadio
The audio revolution is here – and iHeart is leading it! iHeartMedia, the number one audio company in America, reaches 90% of Americans every month. We are the largest podcast publisher, and iHeartRadio is the #1 streaming radio digital service in America. Our company values stress collaboration, curiosity, welcoming dissent, accepting mistakes in the pursuit of new ideas, and respect for everyone.
We are committed to building a diverse, inclusive, and authentic workplace and are looking for teammates passionate about what we do!
What We Need:
You enjoy combing through large data sets and finding patterns within the noise. You’re autonomous and able to acquire new skills to solve a problem. You’re always looking to innovate current processes and you get excited when tackling problems you haven’t seen before. You have a strong analytics and programming background and are excited for a new opportunity to wring every last bit of value out of data.
What You'll Do:
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.
What You'll Need:
- 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
Nice to have:
- 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
What You'll Bring:
- Respect for others and a strong belief that others should do this in return
- Conceptual technical study and knowledge
- Close attention to detail, following up until issues are resolved
- Ability to complete defined tasks, while also collaborating with others
- Ability to communicate technical information with team members
- Skills to address straightforward problems
- Analytical thinking
- Resourcefulness
Compensation:
Salary to be determined by multiple factors including but not limited to relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data.
$80,600 - $100,750
Location:
VIRTUAL, NY
Position Type:
Regular
Time Type:
Full time
Pay Type:
Salaried
Benefits:
iHeartMedia’s benefits offering is flexible and offers a variety of choices to meet the diverse needs of our changing workforce, including the following:
- 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!
We are accepting applications for this role on an ongoing basis.
The Company is an equal opportunity employer and will not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, protected veteran status, genetic information, or any other legally protected classification or status.
Non-Compete will be required for certain positions and as allowed by law.
Our organization participates in E-Verify. Click here to learn about E-Verify.
Key skills/competency:
- Analytics Engineer
- Python
- SQL
- ETL
- Data Wrangling
- Statistics
- Machine Learning
- AWS
- Spark
- BI Tools
Skills & topics
- Analytics Engineer
- Python
- SQL
- ETL
- Data Wrangling
- Statistics
- Machine Learning
- AWS
- Spark
- BI Tools
- Data Analysis
- Data Engineering
- Remote
- NY
How to get hired
- Tailor your resume: Highlight your 1-3+ years of Python programming, SQL proficiency, and ETL experience. Emphasize your ability to wrangle and visualize data.
- Showcase analytics skills: Demonstrate your experience with statistics, algorithms, and machine learning basics. Quantify your achievements in previous roles.
- Address technical requirements: Detail any experience with AWS, Spark, BI tools, or Git. Mention specific RDBMS like Postgres or Redshift.
- Highlight soft skills: Emphasize your resourcefulness, analytical thinking, attention to detail, and ability to communicate technical information.
- Prepare for interviews: Be ready to discuss how you derive insights from data and your approach to solving complex problems.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the primary responsibilities of an Analytics Engineer at iHeartMedia?
- As an Analytics Engineer at iHeartMedia, your primary responsibilities will involve deriving impactful insights from data to drive intelligence for Unified and its clients. You will collaborate with team members to define and scope solutions for complex problems, and you will build, improve, and test robust reporting and statistics solutions that impact the organization.
- What technical skills are essential for the Analytics Engineer role at iHeartMedia?
- Essential technical skills for the Analytics Engineer role include 1-3+ years of advanced programming skills in Python, proficiency in SQL, and knowledge of RDBMS like Postgres and Redshift. Experience with ETL processing and data wrangling, along with basic knowledge of statistics, algorithms, data structures, and machine learning, is also required.
- What are the 'nice to have' skills for an Analytics Engineer at iHeartMedia?
- Nice-to-have skills for an Analytics Engineer at iHeartMedia include experience with digital advertising technology, AWS, Spark, and the big data ecosystem. Familiarity with tools like Airflow, Docker, Git, the Unix command-line, and BI tools such as Tableau or Sisense is also beneficial. A Bachelor's or higher degree in a quantitative field is also preferred.
- Is this an Analytics Engineer position at iHeartMedia that requires on-site work in New York?
- This Analytics Engineer position at iHeartMedia is listed as VIRTUAL, NY, indicating that it is a remote position. While the listing specifies NY, the 'Virtual' designation suggests that the role can be performed remotely.
- What is the salary range for the Analytics Engineer position at iHeartMedia?
- The salary range for the Analytics Engineer position at iHeartMedia is $80,600 - $100,750 annually. The final salary will be determined by various factors including relevant experience, knowledge, skills, qualifications, and market data alignment.
- What kind of career growth opportunities are available for an Analytics Engineer at iHeartMedia?
- While specific growth paths aren't detailed, iHeartMedia's commitment to innovation and tackling new problems suggests opportunities for skill development. As a leading audio company, there's potential to grow within data analytics and contribute to diverse projects across their extensive network.
- What does iHeartMedia look for in terms of soft skills for an Analytics Engineer?