Job Description :

Job Title: Senior Data Analyst

Job ID: 37758

Location: Atlanta, GA 30319

Duration: 12+ Months with possible extensions 

Interview Process: Phone/WebEx 

Number of Positions: 1

Candidate required to be a U.S. Citizen or U.S. National

Location: Highly prefer candidates local to ATL; however, manager is open to candidates in other client HUB locations and is also open to candidates willing to relocate at own expense.

Candidates will primarily be working remote but if candidate is in ATL they will need to come into the office when the team has "working sessions".

Candidate selected will be working on personalization efforts supporting our Landing Pgs and will be working to understand customer behavior as they navigate to key areas of our site.

Required Skills: 

Data Analyst:

A e Analytics/Google Analytics:

SQL:

Tableau:

BS/BA or advanced college degree in Mathematics, Computer Science, Data Analytics, Marketing and/or Advertising, Business or similar

Top 5 Skills / Additional Job Posting Description Details * 

• 5+ years of experience in analytics and focus on digital analytics

• Proficient with A e Analytics (Google Analytics ok)

• Proficient with SQL and Tableau

• BS/BA or advanced college degree in Mathematics, Computer Science, Data Analytics, Marketing and/or Advertising, Business or similar

• Strong communication, analytical, data storytelling, and presentation skills and a proven track record of delivering results to executive teams

Roles & Responsibilities:  

Data Analyst Senior Roles and Responsibilities include but are not limited to:

1) Conducting full lifecycle analysis to include requirements, activities, and design.

2) Data Analysts will develop analysis and reporting capabilities.

3) Monitor performance and quality control plans to identify improvements.

4) Ability to turn project requirements into custom-formatted data reports.

5) Able complete life cycle data generation and outline critical information for each Project Manager.

6) Able to analyze business procedures and recommend specific types of data that can be used to improve upon them.

7) Create a prioritized list of needs for each business segment and area of focus.

8) Identify and recommend new ways to save money by streamlining processes.

9) Work with managers to outline the specific data needs for business method analysis project.

             

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