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Posted 27 days ago
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Location:
Salary band:
£50k - £60k
Job type:
Permanent
Sector:
Fashion
Experience:
Post Graduate
Contact:
Kate McDermott
Category:

Product Analytics Manager

** Leading eCommerce Fashion Brand **

 

  • Join this small yet influential team as part of major growth phase
  • Exceptional mentor in your manager, heralding from management consultancy and major retail brands
  • Chance to step change your own personal technical skills and abilities as they enter into the modern world of data science
     

 

 

SALARY -            £50k - £55k & benefits

LOCATION -        Remote then Central Manchester (5-10 mins walk from both major train stations)

 

THE OPPORTUNITY

 

With investment from the top into data and all its uses, this is an exciting time to be joining the company and they look to understand and explore their customer’s behaviours and relationships with the brand in more detail than ever before. As always, there is the challenge of educating and liberating existing stakeholders across many different functions within this fashion giant as to the possibilities of data driven decision making and actionable insights – which is where this role comes in.

 

Working as part of a team of data experts across customer analytics, product, marketing, finance and customer service, you will focus on delivering reports, self service analytics and insights around product performance for the group.

 

You will have one direct report initially and will both work to build relationships with key stakeholders in buying, merchandising and finance to understand their needs, challenges and potential for using data to improve decision making around demand forecasting, customer engagement and in turn commercial product performance. In this role, we’ll need people with natural intellectual curiosity to go beyond the basics and establish the best way of measuring and improving product performance and coming up with innovative and creative ideas around how to use data generated through the website, app and other channels such as CRM, third party, transactional and warehouse to do this.

 

This role still requires hands on predictive analysis and modelling skills (SQL as a minimum, ideally experience with R or Python), as with any opportunity that arises through change, you will need to bridge the gap between what they are currently doing now and where they are aiming to get to – working with the Head of Analytics to build out capabilities and eventually a bigger team. So, there is huge opportunity for personal and technical growth and development within this role, as the business accelerates it’s data function into the modern age, embracing AI and machine learning techniques where appropriate. They have already invested in a cloud based platform (GCP) and are very open to using open source tech such as R and Python for more advanced analytical solutions and projects – all of which will be led by you, from a product perspective.

 

The culture is fast paced, young and agile, and with double digit growth YOY, this trail blazing brand continues to lead the way in fast fashion and there is an agenda to make the brand unique and distinctive, by tapping into the data and through the use of analytics and data science.

 

 

Skills and experience required:

  • Educated to at least degree level in a numerate subject; Mathematics, Statistics, Engineering, Physics, Chemistry, Economics, Machine Learning, Computer Science etc.
  • Ideally experience of working in a digital environment
  • A strong background in commercial and product analytics, preferably in retail or fashion
  • Strong programming skills using SQL as a minimum, plus, ideally, experience using R or Python for more advanced programming and modelling
  • An understanding around demand forecasting, supply chain and logistics, as well as sales performance and product related challengesd
  • A problem solving approach, ability to apply analytics to improve product performance and customer engagement
  • A curious nature, and inquisitive nature plus an ability to build strong relationships with direct reports and senior level stakeholders

 

 

 

 

 

Product Analytics Manager

** Leading eCommerce Fashion Brand **

 

  • Join this small yet influential team as part of major growth phase
  • Exceptional mentor in your manager, heralding from management consultancy and major retail brands
  • Chance to step change your own personal technical skills and abilities as they enter into the modern world of data science
     

 

 

SALARY -            £50k - £55k & benefits

LOCATION -        Remote then Central Manchester (5-10 mins walk from both major train stations)

 

THE OPPORTUNITY

 

With investment from the top into data and all its uses, this is an exciting time to be joining the company and they look to understand and explore their customer’s behaviours and relationships with the brand in more detail than ever before. As always, there is the challenge of educating and liberating existing stakeholders across many different functions within this fashion giant as to the possibilities of data driven decision making and actionable insights – which is where this role comes in.

 

Working as part of a team of data experts across customer analytics, product, marketing, finance and customer service, you will focus on delivering reports, self service analytics and insights around product performance for the group.

 

You will have one direct report initially and will both work to build relationships with key stakeholders in buying, merchandising and finance to understand their needs, challenges and potential for using data to improve decision making around demand forecasting, customer engagement and in turn commercial product performance. In this role, we’ll need people with natural intellectual curiosity to go beyond the basics and establish the best way of measuring and improving product performance and coming up with innovative and creative ideas around how to use data generated through the website, app and other channels such as CRM, third party, transactional and warehouse to do this.

 

This role still requires hands on predictive analysis and modelling skills (SQL as a minimum, ideally experience with R or Python), as with any opportunity that arises through change, you will need to bridge the gap between what they are currently doing now and where they are aiming to get to – working with the Head of Analytics to build out capabilities and eventually a bigger team. So, there is huge opportunity for personal and technical growth and development within this role, as the business accelerates it’s data function into the modern age, embracing AI and machine learning techniques where appropriate. They have already invested in a cloud based platform (GCP) and are very open to using open source tech such as R and Python for more advanced analytical solutions and projects – all of which will be led by you, from a product perspective.

 

The culture is fast paced, young and agile, and with double digit growth YOY, this trail blazing brand continues to lead the way in fast fashion and there is an agenda to make the brand unique and distinctive, by tapping into the data and through the use of analytics and data science.

 

 

Skills and experience required:

  • Educated to at least degree level in a numerate subject; Mathematics, Statistics, Engineering, Physics, Chemistry, Economics, Machine Learning, Computer Science etc.
  • Ideally experience of working in a digital environment
  • A strong background in commercial and product analytics, preferably in retail or fashion
  • Strong programming skills using SQL as a minimum, plus, ideally, experience using R or Python for more advanced programming and modelling
  • An understanding around demand forecasting, supply chain and logistics, as well as sales performance and product related challengesd
  • A problem solving approach, ability to apply analytics to improve product performance and customer engagement
  • A curious nature, and inquisitive nature plus an ability to build strong relationships with direct reports and senior level stakeholders

 

 

 

 

 

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