TITAN DATA INC
Saint Paul, MN
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Job Description :

Job Title: Sr. Data Analyst – eCommerce Post Order Submit Domain 

Job ID: 37320 

Location: Plano, TX 75075 

Duration: 12+ Months with possible extensions 

Interview Process: Phone/WebEx 

Number of Positions: 1  

Additional Sites: Bothell, WA and Atlanta, GA 

Required Skills: 

Data Analyst: 

A e Analytics/Quantum Metrics/Power BI: 

SQL:

MS Excel: 

Tableau: A e Cloud: 

eCommerce: 

Required analytics skills in: SQL MS Excel Power BI Tableau Reports A e Cloud Quantum Metrics 

Required Qualifications 

  • Bachelor’s degree in a quantitative field (mathematics, economics, statistics, computer science, electrical engineering, physics, etc.) or equivalent experience. 
  • Required 5 years’ analytical experience in enterprise eCommerce: 
  • Creating Dashboards and associated reports/charts with multiple transactional views 
  • Errors, error scenarios and error alerting 
  • Deep-dive analysis in post submit order automation and back-office order fallout 
  • 4-5 years’ experience with A e Analytics, Quantum Metrics, Power BI 
  • Proactive and anticipatory problem solver 
  • Excellent communication skills (written and verbal). 

 Successful candidate will need to develop understanding of:

•  Flows on att.com and post order submit order processing

•  High-level monitoring and KPI reporting vs. detailed operational reporting

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 Managers to understand projects and processing flows. 
  • Manage time-sensitive deliverables for multiple teams and work in extremely fast-paced environment. 

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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