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Data Analyst

Brighton, East Sussex, Competitive Salary + Benefits
Permanent
Reference: MF7589

Data Analyst (Marketing Insight)

Brighton, East Sussex (Remote Working Available)

Competitive Salary + Benefits

 

Data Analyst required for a booming organization on note based in central Brighton, who are going through an extended period of growth. 

A brand new opportunity for an experienced Data Analyst to join a well established team to turn data in to information, information into insight and insight into business decisions.    

We are looking for candidates who have a background in data analysis but as this role will be within the Marketing department we are keen to find someone who also have an interest and ideally some experience of marketing including tools, systems and strategies.   You will be analysing commercial, marketing and research data to provide a view of business performance again KPIs and help to enable key stakeholders to access all the fine details and understand the performance of key market and customer segments.  You will need to be able to understand and interpret the business requirements, interrogate multiple data-sets and provide understandable and actionable intelligence.

Responsibilities include:

  • Marketing data management and analysis
  • Sales data management and analysis, gap analysis
  • Product and track KPIs
  • Product usage analysis
  • Database management
  • Web traffic analysis, management and reporting.

We are specifically looking for candidates who have the following experience:

  • Salesforce
  • Mailchimp
  • Google Drive & Analytics
  • SQL, Oracle or Python experience

In return our client are offering a competitive salary (DOE) and a good benefit package. 

This great opportunity can also be worked part remote with 2 days required in the office each week. 

Please send through your CV for consideration today to ARC IT Recruitment.

 

Data Analyst

Brighton

Competitive Salary

Data Analyst, Marketing Analyst, Salesforce, Mailchimp, Google Drive, Google Analytics, SQL, Oracle, Python.

 

 

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