Data Analytics Manager - London, United Kingdom - Pontoon

Pontoon
Pontoon
Verified Company
London, United Kingdom

2 weeks ago

Tom O´Connor

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Tom O´Connor

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Description

Job title:
Data Analytics Manager


Location:
London/Leeds


Contracts length: 6 months (extensions in place if needed)

Pay rate:
Circa £475 per day, inside IR35

Our client has been serving the households, businesses, and communities of Britain for over 250 years.

They offer a comprehensive range of financial products and services - including current accounts, savings, mortgages, loans, and credit cards.


This is a great opportunity to join a newly formed analytical team that sits within the payment's area of the bank.

Their job is to analyse and interrogate data around things like debit card usage spend and travel and using the data insights to communicateback to the business where they can create new campaigns to attract more debit card usage, for example.


Job purpose


Provide insightful, high quality complex information, advice and guidance exercising control and tailored to senior stakeholder needs EITHER through managing a small team AND/OR operating as an analytical/research professional.


Key Accountabilities:


  • Provide accurate and robust data and reporting to support business decisions and performance monitoring
  • Produce analysis and proposals to shape and define the current and future product strategy
  • Proactively uses data available to develop a better understanding of our customers and their behaviours.
  • Maintain appropriate controls and procedures to ensure compliance with group standards and best practice e.g., data quality and consistency

Essential Skills and Knowledge Areas

  • Utilising tools including SAS/SQL to extract & summarise data and provide insight and analysis.
  • Experience on analytical projects, collaborating closely, and communicating with business partners
  • Confident with working in a fastpaced and demanding environment
  • Competency in using Microsoft Excel and PowerPoint
  • Selfmotivated and able to effectively prioritise workload
  • Experiences of BI platforms such as Tableau or Power BI (helpful but not essential)
**_NOTE - If you are not contacted within 48 hours of applying, please assume you have been unsuccessful on this occasion, however, we will have your contact information and CV in our database for any potential future role that may suit._

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