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$85,000 - $100,000 per year + bonus + benefits - Analysis - New Jersey
Ref: 245 Date Posted: Friday 20 Apr 2018
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Do you want to work for a large Global Retailer and be an integral part of how they use customer insights to grow the business? As the Senior Business Analyst you will be responsible for capturing, storing, managing, analyzing and disposing the most important asset for the company, Data. The scope of this role cuts across all business functions within the business and has a special focus on E-commerce, Sales and Supply Chain. 

The role will focus on the following key data elements:

  • Customer transactional and master data management. 
  • Consumer transactional and behavioral data.
  • Market intelligence.
  • Third party syndicated data.
  • E-commerce Platform specific traffic, conversion, promotion and compliance data.
  • Company internal financial data.
  • Supply chain manufacturing, logistics and planning data.

Responsibilities:

  • In the role the successful candidate will be responsible for the following:
  • Acquiring missing data sets from internal and external stakeholders and moving them to the data lake.
  • Transforming and validating data for new channels, new customers and new categories when required. 
  • Ensuring the right level of knowledge within the business for key technologies like Power BI, Cognos TM1 and more. 
  • Establishing procedures to ensure quality of data and timely purging and disposal.
  • Understanding patterns and opportunities using established data analytics tools and techniques.
  • Engaging with partner functions (sales, ecommerce, marketing) to drive actions to improve business KPIs. 

Does this describe you?

You must be able to clearly demonstrate sufficient skills across the following areas:

  • Programming and Databases. 
  • Computer Science fundamentals.
  • Scripting language like Python.
  • Statistical computing package like R.
  • Experience with SQL Database. 
  • Experience with Parallel databases and Parallel query processing.
  • Experience with caaS like AWS.
  • Hadoop and HFIRE experience. 
  • Cautious about data and getting things right.
  • Proven problem solver.
  • The ability to influence without authority and confidence.
  • Knowledge of Math, Statistics and Algebra.
  • Experience with Machine Learning ideal. 
  • Communication and Visualization skills. 
  • Able to engage with senior management.
  • The ability to tell a story with Data. 
  • Ability to translate data into actionable insights. 

If this is you then apply now to find out more.

Steve Richardson

Steve Richardson looks after this role for KDR, if you have a question get in touch...



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