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Senior Data Analyst
Ref No.: 17-08165
Location: New York, New York
Position Type:Direct Placement
Start Date: 08/31/2017
Senior Data Analyst – Global Ecommerce

Location: NYC
Duration: Permanent
Salary: Competitive
Industry: eCommerce Consulting Company

About the Opportunity

We are currently seeking a dynamic Senior Data Analyst to assist, drive and support growth initiatives for our rapidly growing list of top internet retailers. In this role, you will have the opportunity to contribute by increasing the overall performance and customer satisfaction of a fast-growing merchant base.

Build. Deploy. Bridge. Grow.

This position will report to the Business Insights & Analysis Manager and will have responsibility for identifying opportunities to grow revenue, analyzing program and performance effectiveness, supporting a team of client managers and executives with reporting, critical performance insights, and developing an overall client and team insights roadmap.
This individual must thrive in a fast-paced client-facing environment and needs to be a thought leader and partner. Key skills for the job will include strong analytical skills, knowledge of analytical best practices, tools and methodologies, creativity and flexibility with approaching and solving complex problems while bringing rigor and discipline to analytical initiatives, knowledge of performance and forecasting models, the aptitude to learn multiple functions/processes quickly, and good organization and communication skills.

  • 5+ years of related work experience in an analysis capacity
  • 3+ years in a business analyst capacity
  • Undergraduate degree or Masters degree in a quantitative field or relevant experience
  • Retail, CRM, or e-commerce background highly preferred Ability to transform large volumes of raw data into reporting, analysis, and finally insights
  • Interpret complex customer & business data to develop an organized set of conclusions/recommendations.
  • Advance MS Excel skills
    • Pivot Tables, Array Functions and calculations are required
  • Experience with "What If” and Regression Analysis preferred
  • Basic Statistical Knowledge
  • MS Suite (Outlook & Word)
  • SQL Experience (Ability read and right queries effectively)
  • Exposure to BI tools such as Tableau, Looker or Pentaho
  • ETL Experience (Nice to have but not required)