Senior Data Analyst

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Join a highly successful banking firm as their Senior Data Analyst!






Up to £65,000

GBP 65000

Date Added







Manchester M1 2AQ Piccadilly

The Candidate Ltd

Senior Data Analyst – £65,000– Banking - Manchester 

Join a well-established player in the Banking industry who for ten consecutive years have held a four-star Fair banking mark and a 4-star rating on Trustpilot to recognise that we help customers manage money well.

They have undergone a huge digital transformation in the past few years. For example, they’ve revolutionised their mobile banking app so that it now has 3x the function it had when they started and have really exciting plans in the pipeline. Their aim is to have the group be one of the leading digital businesses in Manchester and they are well on their way to achieving this vision.

It’s been incredible to watch them grow and develop over the past few years into a business the on the one hand is slick, efficient and commercial, but also fosters a culture of putting people first – whether this by ensuring staff are happy, fulfilled and healthy, or the vast amount of volunteering and fundraising they do for good causes each year.

They are now looking for a full stack data analyst to join a diverse and friendly team; taking data and engineering it into useful analysis and models that will inspire growth of the business.

You will steer the development of customer analysis to provide insight into historical performance, future forecasts, and opportunities for strategic improvements.

In this role you will:

  • Collaborate with stakeholders to iteratively deliver deep research into business problems.
  • Find useful structured and unstructured data in their Data Warehouse and Data Lake; suggesting and designing extensions that will improve their capabilities.
  • Design, prototype, deliver and maintain reports in Power BI, using SQL and DAX.
  • Design, prototype, deliver and maintain models in tools like R/Python/AWS Sagemaker, using data science toolkits like dplyr or ggplot2.
  • Be comfortable learning a data transformation tool like Matillion or SSIS.
  • Be comfortable working in an Agile Kanban workflow to safely code review, test and deploy solutions, using source control to manage changes.
  • Collaborate with product teams on a regular basis to plan and prioritize requests, discuss requirements, and ensure delivery of successful business outcomes.
  • Use data science techniques to identify and take advantage of commercial opportunities, delivering more targeted acquisition, successful customer/portfolio management, and product performance.
  • Use statistical methods and visualisation to measure and monitor the effectiveness of strategies, initiatives, the development of new products and risk management.
  • Provide meaningful commentary to help decision-makers act on findings.
  • Contribute to enhancements to the analytics and data science architecture.

About you:

  • Comfortable with SQL, DAX, R or Python, and advanced Excel.
  • Comfortable with visualisation development using tools like Cognos, SSRS, Power BI or Business Objects.
  • Experience in statistical and problem solving, with a deductive and curious mind.
  • Commercial awareness, preferably in the financial services industry.
  • A positive, enthusiastic, and methodical attitude to development, business intelligence and data science.

Why work here?

As well as having the opportunity to work with, and learn from, one of the most commercially focused and results driven businesses in the North West, you’ll find lots of great extras too! These include:

  • Hapi benefits program, including discounts at leading supermarkets, cinemas, and other leading retailers
  • On-site gym with free personal training
  • Personal lockers and showers
  • Basic 23 days holiday, plus public holidays. You will get an extra days’ holiday for every year served (up to 28 days)
  • An extra day of annual leave (taking the starting total to 24) on your birthday
  • Ability to buy and sell holiday entitlements
  • Paid Charity volunteer day, where the company give one working day a year to every employee to help a charity
  • On-site training centre and self-learning facilities 

If this sounds like the next step for you in your analyst career, then apply now!

Please note due to high volumes of applications unfortunately we are not always able to respond to all unsuccessful applicants. However we wish everyone who applies the very best with their job search. 

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