Marketing Analyst, Bristol, £40, 000

Marketing Analyst, Bristol, £ 40, 000

Location: South West / Bristol

Salary: £40, 000

Key Skills: SAS, SPSS, SQL, marketing, direct marketing, campaign, marketing campaigns, selections, customer targeting, unica, alterian, Siebel, faststats, campaign execution, marketing selections, campaign execution.

Marketing Analyst Role:

This is an exciting opportunity for a marketing focussed analyst looking to make a move into a growing analytics function, where you will be offered a fast tracked analytical role in marketing analytics where you will be involved in shaping commercial business decisions. A leading Customer Service providing client is looking to build up and develop an analytics function and is looking for a junior marketing analyst so carry out analysis and selections for leading direct marketing campaigns. The commercial business is looking for a marketing analyst to come on board and carry out post campaign analysis and then to help use these insights moving forwards to help provide more targeted and effective marketing campaigns moving forwards. This role will require an analyst to increase the value of direct marketing campaigns by creating selection lists, which are aimed at relevant customers and deploying campaigns accurately and on time. You will be working as part of the Selections Team and you will be required to develop accurate selections so that the highest ROI is achieved through the marketing strategies and channels. The client is looking for an analyst with SAS or SQL or SPSS experience for analysis and you will be carrying out a pivotal role to help the business improve business performance.

To find more out about this opportunity please feel free to contact Juliette Spanner at Harnham Search and Selection on (email address removed) or call on 020 8545 8872.

To apply for this role you will need the following:

• It is important for candidates to have an interest in marketing and direct marketing
• Ideally candidates will need to have experience of using statistical tools, such as SAS, SPSS, SQL or Excel.
• It is preferable for candidates to have a degree or an equivalent qualification, ideally within a numerate based subject, such as Mathematics, Operational Research, Statistics or Economics.