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Jr. Data Analyst Jobs

Company

R Square Analytics
Address , Atlanta
Employment type FULL_TIME
Salary
Expires 2023-12-12
Posted at 8 months ago
Job Description

Job Location

Atlanta, GA (Flexible)


Job Type

Full-Time Regular


Position Id

2022-1012


Jr. Data Analyst, Marketing Effectiveness


Be curious. Be collaborative. Be forward thinking. Join the Marketing Effectiveness team and work with our clients as a consultant, a problem solver and the voice of R Square at our clients. When you join the R Square team, you’re signing up for an experience that requires flexibility, curiosity, and passion.


In the marketing effectiveness practice area, our job is to enable media optimal spend decision making for our clients. We leverage advanced media analytics methodologies to unlock brand's true potential via marketing execution.


As a Jr. Data Analyst, you will:


  • Study user behaviors, and work with other analysts to join different data sources for measurement & attribution.
  • Analyze the performance of marketing efforts across multiple channels, including but not limited to Television, Search, Social, Email, and Display/Video advertising.
  • Support Sr. Analysts and Client engagement teams to coordinate data procurement, data procession, QC, assemble large data sets in preparation for econometric modeling
  • Successfully manage projects and partner with Marketing, Product, Data Science, and other teams within the company.
  • Transform large datasets to actionable insights.


A successful candidate should be comfortable working independently and look to find ways to collaborate with other team members. While analytical skills are crucial for the position, it is just as important to have the ability to communicate and summarize complex information into management ready briefs and presentations.


Qualifications

  • Marketing analytics experience working at a brand or agency desirable
  • Strong familiarity with Marketing KPI’s to manage optimal marketing investment.
  • Bachelor’s degree in Mathematics, Statistics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field
  • 0-2 years' experience
  • Experience with Microsoft Office, basic coding and programming experience in Python, data visualization tools. (Tableau & Power BI preferred)