INSIGHT ANALYST
N Brown – who we are and why work for us?
At N Brown, we’re committed to building a diverse workforce and creating an inclusive environment that values equality for all. Our vision is that by ‘championing inclusion, we’ll become the most loved and trusted fashion retailer’. Diversity, Equity, and Inclusion are, therefore, at the heart of our culture.
We’re a forward-thinking digital retailer with a financial services proposition to be proud of. We’re customer-obsessed, serving them through three core brands: JD Williams, Simply Be, and Jacamo. We’re experienced, with over 160 years of trading under our belt. We’re inclusive, as we believe in fashion without boundaries; and we’re sustainable, striving to make as little impact on the planet as possible.
The role
We’re looking for an Insight Analyst to join our Group Data team here at N Brown.
Data at N Brown has recently been elevated to one of the 5 strategic pillars, with a mission to establish data as an asset to win. The Group Data function, led by the Director of Data reporting to the CEO, has been established to define and implement the enterprise data vision and strategy. We are already a strongly data led business with a purpose to our customers look and feel amazing.
What’s in it for you?
- Hybrid working and flexible start times
- 24 days holiday (+ 8 bank holidays) with the option to buy an additional 10 days
- Annual bonus scheme
- Enhanced maternity and adoption leave
- Company pension with up to 8% N Brown contribution
- Mental Health support both internally and externally, including access to our wellbeing champions and counselling services
- A range of financial wellbeing support
- Colleague discount across all N Brown brands
- Onsite café with subsidised rates and local restaurant discounts!
- Life Assurance and Private Medical Insurance
- Paid volunteer time – all our colleagues can take a full day paid to volunteer for a charity of their choice
What will you do as an Insight Analyst at N Brown?
- Supporting the business in its weekly trading cycles by surfacing key evidence-backed insights from data and producing reports and visualisations
- Embedding data analytics products in operational processes and decisions
- Writing and reviewing SQL or Python code, aligned to current team best practices
- Following project plans, flagging any ambiguity or impediments in a timely fashion
- Contributing to defining task outlines given sprint goals and contributing to task goal, output structure, success criteria, timescales etc
- Providing clear and regular updates to project team and line manager on tasks undertaken and next steps
- Ensuring deliverables and written communications are accurate, succinct and clear
- Building relationships within the data community
- Sharing knowledge through team channels
What skills and experience will you have?
- Able to interpret business performance data and produce clear and succinct communications
- Proven skills in communication to stakeholders from managers up to exec team
- Able to work on well-defined problems, giving clear and regular updates to colleagues
- Strong understanding of e-commerce and digital channels
- Able to work well under tight timelines while maintaining quality standards
- The passion to engage with the N Brown data community
- SQL
- Power BI
- Understanding of Python or transferrable coding languages and willingness to learn
- Microsoft Office Products (Excel, Word, Powerpoint)
Our promise to you:
We’re an equal opportunity employer and value diversity. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
What happens when you apply to a role at N Brown?
As soon as we receive your application, we’ll send you an email to let you know. We always aim to come back to you as soon as possible with an update and we really appreciate you taking the time to apply for a role with us. Good luck!
We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.