Engagement Manager (Retail/Media Analytics, eCommerce Strategy)(BBBH6727)

Merseyside

Permanent

£65000 - £70000 per annum + Bonus, Pension, Life Assurance etc

Our client is a leading financial services and insurance outsourcing business and this is a fantastic opportunity for an experienced and client facing Engagement Manager to work in their thriving and expanding retail/media analytics practice, leading a team of 10 on-site.

Emphasis is on providing insights to the client, guidance to the team and managing end to end engagements with a retail and media focus.

The succesful candidate will have retail/media sector experience with demonstrable experience of eCommerce strategy & platform implementations.

The position requires the ability to combine data analysis, statistical modeling, data visualization, communication and client stakeholder management skills in order to deliver high impact results via a high performing dual shore team.

Technical Skills

  • Experience in test & learn methodology and experimentation frameworks
  • Experience of working in agile formats across multiple squads
  • Experienced in analyzing large, complex, multi-dimensional datasets with data querying languages (e.g. SQL), BI Tools (MicroStrategy, PowerBI, Tableau, etc.), programming languages (e.g. Python, Java, Scala, etc.), statistical/mathematical software (e.g. R, Weka, SAS, Matlab)
  • Experience with one or more web analytics platforms (ex: Google Analytics, Adobe Sitecatalyst, IBM Coremetrics, Kissmetrics or Webtrends) is a plus
  • Has at least one or more of the following experiences:
  • Experience implementing and/or working with clickstream web analytics tools such Adobe Analytics (Omniture SiteCatalyst), Google Analytics; or working knowledge of the field of web analytics
  • Experience with creating A/B, ABN, Multivariate tests in either of the testing platforms (Optimizely, Monetate, Google Optimize, Adobe Target)
  • Building and presenting media mix, digital attribution, pricing and price elasticity models. Ability to grasp multifactorial test designs and analyze impact of such tests. Social media analytics using sentiment, geo-targeting, text mining etc.
  • Experience in building/managing communications strategy and recommendation engines to arbitrate among competing communications to customers.
  • Experience in omni-channel engagement, remarketing and customer segmentation
  • Advanced Analytics and Data Modelling – Implementing machine learning techniques and advanced statistical modeling such as Naïve Bayes, SVM, Random Forest, and Gradient Boosting. Guiding junior members of the team in building ML solutions

Education Requirements

  • Master’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

Work Experience Requirements

  • Significant commercial experience (preferably in management consulting or Retail or Media industry) in an analytical capacity
  • Experience in the retail analytics within retailers and/or media companies
  • Experience in test & learn methodology and experimentation framework
  • Experience of working in Agile formats across multiple squads

In return our client can offer an exciting, fast paced and innovative environment, along with the following benefits:

  • Attractive Bonus
  • Private Medical Cover
  • Life Assurance Cover
  • Critical Illness Cove
  • Global Business Travel Cover
  • Employee Salary Self Sacrifice Child Care Vouchers
  • Employer Pension Scheme

If you meet the above criteria; please submit your application by Wednesday 13th February 2019 to be considered.

Job Reference: BBBH6727

Salary: £65000 - £70000 per annum + Bonus, Pension, Life Assurance etc

Salary per: Annum

Job Duration: Permanent

Job Start Date: Will wait notice

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