Data Analyst - Great Culture at E-commerce

Advertiser
Harnham
Company
Harnham
Date Posted
31st October 2017
Reference
2352/SN
Job Type
Permanent
Location
London
Salary
£35,000 to £40,000 Per Annum
Benefits
Benefits

Data Analyst - Great Culture at E-commerce
London
Up to £40,000 + Benefits

A tech savvy E-commerce are looking for an fast thinking Data Analyst to join their team. This is a market leading company have grown tremendously over the past few years and with a £9 million investment are now looking to kickstart their analytics function.

THE COMPANY

This company is one of the market leaders with a customer centric business model. They are based in the heart of London with shiny new offices and the newest technology stack. In this fast paced environment, you will have the opportunity to use influence the analytics function, liaising regularly with stakeholders and helping mold the future of data throughout the business. If you are confident, innovative and ready to put your analytical skills to use, this job will be perfect for you!

THE ROLE - Data Analyst
As Data Analyst, your responsibilities will include:

  • Liaising with both technical and non-technical stakeholders
  • Tackling problems confidently and present solutions
  • Work with stakeholders to ensure reporting and analysis processes are met
  • Process, analyse and manipulate data sets using SQL
  • Generating engaging reports in Looker (Visualisation tool)
  • Generating actionable insight from datasets

You will need:

  • Ideally around a years commercial experience or more
  • Ability to query datasets using SQL
  • Experience with equivalent visualisation tool (Tableau, Spotfire, Qlikview, Power BI)
  • Degree in relevant subject

HOW TO APPLY
In order to apply for this position, please do so via this site.
For information on this role or other roles in the BI Analytic market please get in touch with Sandra Namatovu at

KEYWORDS

Reporting, Insight, Data, BI, Analytics, Analyst, SQL, BI, Business Intelligence, Data, Analyse, Programming, Data, Tableau, Qlikview

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