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Consumer Data Mining and Insights Analyst
at O2 in Slough, GB
O2 is a breath of fresh air. By placing customers at the heart of everything we do we’ve created, and we continue to create memorable experiences for both customers and our people at work, where everyone feels valued, recognised and rewarded.
As a Consumer Data Mining and Insights Analyst in the Customer Insight Team you will be responsible for the technical delivery of individual projects that involve the analysis of the behaviour of O2 customers, as well as manipulating data in order to get a deeper understanding of them. This may include an element of building of Statistical models (CHAID, Regression, cluster analysis etc.) though you’ll primarily act as an internal consultant to other parts of the business to help them understand their customers through intelligent data analysis. You will work closely with a range of clients from across O2 (UK) including segment marketing teams, finance, sales and other CRM teams.
The role is to deliver timely, high quality and insightful pieces of analysis on customer behaviour and customer base makeup, customer profiles, statistical models and other ad-hoc pieces of analysis, that deliver tangible business benefit.
The Analysts are responsible for:
- Interpreting and clarifying briefs with the key stakeholders
- Extracting, collating and manipulating data in preparation for analysis
- Conducting analysis including statistical modelling
- Interpreting the results of analysis undertaken
- Summarising key findings and making recommendations based on the results
- Documenting the analysis projects through reports and presentations
- Presentation of results to the key stakeholder(s)
- Ensure that all analysis undertaken is of an acceptable quality standard
- Creating analysis projects proactively in order to demonstrate the value and flexibility of the data in benefiting the business
- Working on several projects concurrently and to prioritise accordingly
Technical
· Minimum of a 2:2 Honours Degree in a relevant Science Discipline such as Maths, Statistics or Operational Research OR significant work experience in analysis teams producing reports, statistical analysis and statistical models.
· Working knowledge of, and experience in :
o Manipulation of transactional and demographic datasets comprising millions of records
o Single Customer View theory
o Hypothesis Testing
o Targeting
o Segmentation & clustering
o Using Geo-Demographic, Lifestyle and Credit Reference Data enhancements
· Hands on Experience in 2 or more of the following modelling techniques:
o CHAID
o Cluster Analysis
o Regression
o Neural Networks
o Segmentation building
· Understanding of database marketing techniques and ability to apply these in practice
· Proficient in the use of modelling / analysis software e.g. SAS (Base & Enterprise Guide), SQL (ideally Teradata), etc.
· Proficient in the use of Microsoft Office, ideally with VBA skills
People
· Able to work as part of a team
· Able to deal effectively and credibly with peers in the segment teams and also with senior people in the marketing community
· Able to build strong relationships with key stakeholders
Communication
· Able to take complex analysis and communicate it appropriately to meet the needs of your audience
· Able to set information relating to specific projects into an overall commercial context
· Able to proactively make recommendations based on data to improve O2’s commercial performance
General
· Demonstrable post graduate experience in analysis.
Published at 26-07-2010
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Viewed: 2 times