Job Description :

Job Title: Sr. Data Analyst – Commerce Domain

Direct Client: AT&T 

Job ID: ATT00036857 

Location: Dallas, TX 75202 

Duration: 12+ Months with possible extensions 

Interview Process: Phone/WebEx 

Number of Positions: 1 

Additional SitesBothell, WA and Atlanta, GA 

Will consider remote until Covid restrictions are lifted. 

Required Skills: 

Data Analyst: 


A e Analytics:

Quantum Metrics:

Power BI: 

Top 5 Skills / Additional Job Posting Description Details * 

  1. Bachelor’s degree in a quantitative field (mathematics, economics, statistics, computer science, electrical engineering, physics, etc.) or equivalent experience. 
  2. Required 5 years’ analytical experience in enterprise eCommerce: 
  3. Transaction views: customer progression, conversion, and fallout 
  4. Errors and error scenarios 
  5. Customer experience feedback (Foresee, OpinionLab) 
  6. Deep-dive analysis 
  7. 4-5 years’ experience with A e Analytics, Quantum Metrics, Power BI 
  8. Proactive and anticipatory problem solver 
  9. Excellent communication skills (written and verbal) 
  10. Successful candidate will need to develop understanding of:  
  11. Commerce (Cart & Checkout) functions and flows on 
  12. High-level monitoring and KPI reporting vs. detailed operational reporting. 

Roles and Responsibilities:

•             Analytics, Reporting, Data Wrangling, creation of dashboard for web and omni channel activities.  

•             Develop & maintain operational reports and dashboards in A e Cloud, Quantum Metrics, Tableau or PowerBI etc.

•             Work with Product Owners to understand customer experience on pages and in transactional flows.

•             Manage time-sensitive deliverables for multiple teams and work in extremely fast-paced environment.

•             Required analytics skills in:

•             A e Analytics—tagging and reporting of business metrics

•             Understanding of custom analytics tagging approaches

•             Quantum Metric—customer experience analytics

•             Dynatrace—performance analytics.

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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