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Analytics Engineer

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Salary

$84,000 - $105,000

Location

Virtual, NY, Remote

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:

Need to have:

  • 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, X, 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

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