Lead Analysts – Customer & Product Strategy Full Time

Aspire Data Recruitment
Lead Analysts – Customer & Product Strategy

Job ID:
A12-326022

Job Type:
Permanent

Location:
London

Region:
International

Lead Analysts – Customer & Product Strategy

London

Growing Decision Analytics team has several opportunities for Lead Analysts to join them in London.

What you’ll be doing.

• Understand customer behaviour, product, and financial performance to help maximise product performance, support product plans and drive key strategic initiatives
• Contribute to the design, test and build of complex information across multiple decision engines to identify causal links between customer behaviour and business opportunities and performance
• Demonstrate an innovative approach to data-based problem solving, and have input into the development of a strategy that supports business strategy
• Collaborate in initiatives to support the accuracy, availability, granularity, and coverage of data, and those that implement new data management and manipulation tools.
• Communicate the findings of analysis in meetings with senior stakeholders and in visually compelling reports or presentations.
• Develop the targeting approach to accurately identify and understand customer needs by designing tests, delivery campaigns and reviewing performance to ensure campaigns are executed effectively
• Share complex ideas, issues, and recommendations to gain agreement from different levels and backgrounds in presentation and written form.

Your background.

• Experience in creating business models, both financial and consumer behavioural
• Experience in using innovative customer analysis to identify commercial opportunities
• Experience of programming in SQL, and in additional computer languages (e.g. SAS, R, Python) desirable
• Experience of statistical analysis techniques desirable.
• Practical experience of creating customer segmentation models, and running customer targeting (desirable)
• The ability to understand customer needs
• Practical knowledge of data warehouse and MI environments and practises.