Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

E-Commerce Data Analyst

MinsterFB
Southwell
1 week ago
Create job alert

MinsterFB is looking for an E-Commerce Data Analyst. To support the strong growth we are seeking a highly numerate, hard-working, online savvy individual to provide business insight to grow and improve our businesses.

You will be analysing data in both in Excel and within our proprietary tech stack.

Key Roles & Responsibilities:

You will:

As a Data Analyst you will be working alongside colleagues from other functions to analyse Data, provide reports and recommendations to support the companies’ objective of profitable growth for our clients
The Tech stack you will work with includes industry leading AWS and ZOHO tools with a variety of other supporting applications.
Be part of a team that supports decision making through combining data from multiple sources. You will specialise in the commercial or operational sphere of the business
Key Skills:

Ability to work independently and to prioritise workload
Confident use of Excel and some knowledge of SQL and or python
Strong numeracy and analytical skills
Good written and verbal communication skills
Desired Qualifications:

Educated to Degree Level with evidence of ability in Maths and an affinity with online / IT being advantageous 
Key Personal Qualities:

MinsterFB are looking for somebody who is:

Enthusiastic about all things data and digital
Happy working carefully through complex and detailed tasks
Willing to learn with a ‘can do’ attitude
Works well as part of a team
Self-motivated
Adaptable
Analytical - able to pick out and focus on the important measures

Location:

The Job is office based in our Southwell office a minimum of two days a week, when working from home you will be staying in regular contact through Zoom and MS Teams.
However with the flexibility that fantastic global internet coverage provides you will be able to work remotely anywhere in the world for up to 4 consecutive weeks a year
In addition employees are entitled to a 3mth unpaid sabbatical after 4 years of continuous employment
We have a tight supportive culture that is strengthened through face to face interactions if you are unable to work two days a week from Southwell please don’t apply
For the first 4 weeks of your employment you will be required in the office everyday while you get to know the company and meet all of your colleagues.
Salary & Other Benefits:

£24,570 p.a.
Annual holiday entitlement is 33 days (inclusive of bank/public holidays) in the complete holiday year
3pm finish on a Friday
Access to 24/7 employee assistance programme: including GP telephone consultation at a time to suit you, counselling service, legal and debt advice
Quarterly team and charity days
Plus, a host of other employee benefits
Job Details:

Work hours are, Monday to Thursday 9am until 5.30pm, Friday 9am until 3pm
This job is unapologetically online / on screen. However with the flexibility that fantastic global internet coverage provides you will be able to work remotely anywhere in the world for up to 4 consecutive weeks a year
In addition employees are entitled to a 3mth unpaid sabbatical after 4 years of continuous employment 
About MinsterFB

MinsterFB works with some of the UK’s favourite brands such as Grenade, Bisto, Yorkshire Tea, McVitie’s and Cadburys to build their business on Amazon. They provide full account management, sales strategy, catalogue management, issue resolution and training. Key to their success is their deployment of all of the growth tools available to Amazon Sellers and Vendors.
MinsterFB is a Certified B Corporation. As such we’re part of a global community of businesses that meet high standards of social and environmental impact
How to Apply

If this role is of interest please attach your CV to the link provided. We receive many CVs so to ensure yours is read please include the words “I am able to work 2 days a week in Southwell” in your application preferably in the subject line.

MinsterFB values a diverse workforce. Women, people of colour, people with disabilities, and members of the LGBTQ community are encouraged to apply. They believe an equitable and inclusive work environment and a diverse empowered team is key to achieving their mission. They’re looking for candidates who can expand their business culture, are curious, plain-dealing, action orientated, bring their whole selves to work and meet the requirements of the role. All else is secondary. They strive to provide all candidates with an equitable and accessible recruitment process. If they can offer accommodations for you in the recruitment process or you have feedback on how to make their recruitment more accessible, please let them know

Related Jobs

View all jobs

Data Engineer - PySpark, Databricks

Data Engineering Consultant

Data Engineering Consultant

Data Engineering Consultant - October 2025

HR Data Analyst

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.