Listed on

2nd April


Little Germany, Bradford




We have a fantastic opportunity for a Date Analyst to join our team to proactively support the Innovations and Analytics Manager in preparation and provision of Management Information to both internal and external customers


  • Support in developing and delivering standard and routine Buying and Merchandising MI reports in line with the reporting calendar and in response to ad-hoc reporting requests.
  • Deliver complex ad-hoc reporting requirements in a timely fashion.
  • Support the delivery of predictive analytics
  • Participate in requirement gathering workshops.
  • Support the delivery of statistical information, interpretation of data and the presentation of Management Information to meet the needs of internal customers.
  • Collection, and management large datasets using various tools: Excel, Excel VBA, Power BI, SQL.
  • Analysis of data to ensure it is fit for purpose and feedback to customers on any issues or changes required.
  • Identify opportunities for continuous improvement in the development, delivery and maintenance of Buying and Merchandising MI reporting.
  • Liaise with a wide range of staff at all levels within the Division and externally.
  • Undertake other duties as may be determined and agreed by the Innovations and Analytics Manager


  • Advanced user of Excel
  • Minimum of 2 years' experience in writing SQL
  • Experience in a data visualisation tool such as Power BI or Tableau
  • Numerate and comfortable working with data from multiple sources
  • Effective communication skills and the ability to prioritise tasks in a fast-paced environment
  • Experience in delivering projects either solo or as part of a team
  • Can interpret requirements and turn them into solutions
  • Ability to work under pressure to tight deadlines with high levels of accuracy
  • Aptitude to learn new skills/software
  • Able to commute to Bradford city centre


  • Relevant qualification demonstrating maths/statistical analysis/computer science
  • Experience using statistical analytical tools such as R or Python
  • Experience working in retail
  • Relevant qualification demonstrating maths/statistical analysis/computer science
  • Competitor knowledge and understanding in both retail and online
  • Highly organised


Our staff enjoy competitive benefits including staff discount, generous annual leave, healthcare cash plan together with a vibrant, colourful, creative and flexible working atmosphere. With our competitive benefits, and supportive teams our staff enjoy helping us on our mission and benefit greatly from the challenges that come with working for a successful retailer.


Freemans Grattan Holdings (FGH) is based in West Yorkshire and is part of the OTTO Group - one of the world's largest online retailers.

Home to familiar brands such as Freemans, Grattan and Kaleidoscope, we have over 100 years of experience. 

We're on a mission to help our customers live their best lives through a choice of quality basics, the brands they love and credible exclusive product supported by easy and rewarding ways to pay.

We offer excellent service and delivery seven days a week, with so much going for us - why not be part of the story.

We have over 600 UK employees working for us in various functions, including Marketing and Creative, Customer Experience, Warehousing and Logistics, Financial Services, Transformation, Buying and Merchandising, IT and Support Services. 

Our values of ResilienceEmpathy, Ambition, Commitment, and Honesty underpin our vibrant and dynamic culture.

We're heading for some exciting and challenging places, so why not join us and be part of our vision to create a modern, digital retailer with powerful customer brandsexciting product and compelling financial services. 

Contact Name:

Reference: TJ/11222/fgh/TP/102/397

Job ID: 3316496

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