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Senior Data Analyst

Greater Manchester, Greater Manchester, United Kingdom, £ £ - Annual Annual, Permanent


Who We Are

Since 2001 thinkmoney has been helping customers stay on top of their finances. We've changed a fair bit since then, and we're growing and developing new things faster than ever. But one thing hasn't changed: the way we look after our customers.

For ten consecutive years we've held a four star Fairbanking mark to recognise that we help customers manage money well. The brilliant service our customers receive has also earned us a 4 star rating on Trustpilot.

In December 2019 we won out latest award for Best Use of IT in Retail Banking at the 20th Banking Tech Awards, highlighting our innovation and digital transformation skills. For more information, please visit our LinkedIn page.

Our digital teams are constantly developing new app features based on real customer feedback, and our customer service teams are here to support customers who need that human touch.

Our commitment to helping others doesn't end there. CSR is important, and in 2020 we received an award for being the largest fundraiser for Cash For Kids over the last four years, and another for raising £1million for charities in the last ten years.

Personal Qualities and Cultural Fit

We work fast and to a high standard. The only way to constantly deliver in a time of great change is to ensure collaboration between people and departments.

We look for people who are intellectually curious as to what is possible, mixed with the pragmatism to understand the operating environment and constraints, be they time, budget or capabilities.

thinkmoney continues to be successful, so a growth mindset where you build technology solutions that work now, but that have future growth and business needs taken into account is essential. All delivered at a price point that ensures the maximum value for all expenditure.

Role Description

We are 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 our business.

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

You will
  • Collaborate with stakeholders to iteratively deliver deep research into business problems.
  • Find useful structured and unstructured data in our Data Warehouse and Data Lake; suggesting and designing extensions that will improve our 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.
You have
  • A degree and/or equivalent qualification/experience in a numerate subject (e.g. maths, statistics, data science, business intelligence).
  • 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.
  • Enthusiasm for communication and presentation.
  • The ability to connect with colleagues.
  • A positive, enthusiastic and methodical attitude to development, business intelligence and data science.
Benefits Package
  • Contributory pension
  • 23 days' holiday rising to 28 days with service
  • An extra day's leave for your birthday
  • A paid charity day for you to work somewhere as part of our CSR commitments
  • Hapi benefits program, including discounts at leading supermarkets, cinemas and other leading retailers
  • Free parking
  • On-site gym with free personal training
  • Personal lockers and showers
  • On-site restaurant with Costa Coffee
  • Free tea, coffee and fresh fruit
  • Prayer room
  • Annual eye test
  • Employee assistance program

Job Details

Not Specified
Greater Manchester, Greater Manchester, United Kingdom
£ £ - Annual Annual