MI & Data Analyst

Recruiter
Coventry Building Society
Location
Warwickshire
Salary
Competitive
Posted
05 Aug 2021
Closes
23 Aug 2021
Sectors
Accountancy
Contract Type
Permanent
Hours
Full Time

We have a great opportunity for a MI & Data Analyst to join us at Coventry Building Society during this time of growth and change. Reporting to the Senior Data Science & Analytics Manager, the purpose of the role is to work with business functions in the production of MI through assessment of business requirements, data analysis and delivery of innovative and insightful solutions using a range of technologies including Data Science tools and techniques.
As our MI & Data Analyst - some key accountability will include:

  • Support the MI Centre of Excellence, wider Finance function and the Persistent MI Team where necessary.
  • Deliver high quality, cost effective MI solutions, ensuring that requirements can be met by available data and that any changes to processes and systems are fully explored and understood.
  • Document, verify and manage MI requirements throughout the delivery lifecycle, challenging where appropriate and using, proof-of-concepts and prototypes to refine & prioritise final requirements with business owners.
  • Undertake data analysis in order to evaluate availability and quality of data, identify transformations and produce draft data models.
  • Supporting the development and maintenance of financial models using visual basic and AWS & data science tools.

About You

Working as our MI & Data Analyst, you'll work collaboratively to build and maintain effective working relationships with other internal functions. You'll also provide expert knowledge to colleagues and stakeholders and ensure that the Society's change management framework, methodologies and change control processes are followed.You will be or have:

Essential

  • Strong SQL knowledge
  • Excellent communication and presentation skills at all levels
  • Experience in Data Analysis across a range of sources (e.g. relational and dimensional databases, file systems, semi-structured and unstructured data, models, spreadsheets)
  • Familiarity with business analysis and process modelling
  • Experience in using Business Intelligence and Enterprise Reporting tools (ideally Cognos Report/Query Studio v10)
  • Experience in using Data Discovery/Data Visualisation tools (e.g. Tableau, SAS VA, QlikSense, PowerBI)
  • Awareness of data modelling and data warehouse methodologies
  • Stakeholder engagement, management and collaboration with ability to question and challenge, put forward new ideas and gain buy in through key working relationships
    Desirable
  • Netezza experience and knowledge
  • Advanced Microsoft Office suite including VBA
  • Experience in Data catalogues/metadata management solutions (e.g. Collibra) is preferred but not essential
  • Experience in Data Science (e.g. Cloud technologies AWS, ML/AI,)

The closing date for applications is 19th August 2021

About The Company

Coventry Building Society has grown into the second largest building society in the UK. We're a national society, with local values and loyalty, and a caring family ethos.

The best way to judge a company is based on what the people who work there say. Our recent employee survey rated us Number 2 in the Sunday Times 25 Best Big Companies to Work For list.

We offer not only fulfilling jobs and exciting career opportunities but a place where everyone can be long and feel proud to work.

What makes us such a rich and progressive place to work is the huge variety of people that make up our workforce.
We've got a whole range of different ways to support you, both in your role and wider wellbeing.

Our flexible working arrangements and family-friendly policies also help to make sure you're happy and in control of your work-life balance. As an employee, we encourage you to take control of your career. We invest in our people, with regular opportunities for training and development. And later, if you're looking for a new challenge, we actively champion internal progression.

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