Business Intelligence Developer

Tolworth
1 year ago
Applications closed

Related Jobs

View all jobs

Head of DevOps and DataOps

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Business Intelligence Developer (Controlling)

Summary

£49,500 up to £66,000* per annum | 35 days' holiday (pro rata) | 10% in-store discount | Pension scheme

Everyone who works at Lidl brings something unique to the table - but we also have a whole lot in common. We're curious, collaborative, and ready to make a tangible impact on where we work.

Just like you.

Our Head Office Business Intelligence department is looking for a proactive, passionate and analytical professional to join our team in a challenging international environment.

Business Intelligence is one of the key departments in providing insight that drive our business strategy and objectives to executive management and operational departments.

In this role you will take charge of creating, evolving, and maintaining our BI tools. These responsibilities aim to empower our business to make more informed decisions by leveraging analytics and compelling data visualization to provide insight.

In return, we'll give you a competitive salary based on equal opportunity and pay structures, as well as a generous benefits package designed to support your well-being and life outside of Lidl.

We're proud to be a diverse, secure and fast-growing business, so we'll make sure you have access to the right training and real opportunities to build your career as well.

'To keep in line with company structure this role will be called Controlling Consultant internally'

What you'll do

Create new reports and dashboards, as well as optimise existing reports
Plan, design, and implement effective dashboards and visualisations to revolutionise our business's data usage
End-to-end delivery of business intelligence initiatives from requirement gathering, development and presenting to key stakeholders
Manage relationships with technical and non-technical stakeholders and end-users to ensure seamless communication and project success
Work closely with stakeholders to understand their data needs and translate business requirements into technical solutions
Working with internal stakeholders to provide automated solutions using Business Intelligence software & Microsoft Office
Provide ongoing support and training to users on BI tools and data analytics

What you'll need

Proven experience as a BI Developer or Data Scientist.
Strong knowledge of BI tools and software such as MicroStrategy, Power BI, Tableau, Qlik, Looker, etc.
Experience in a similar position and a proven aptitude for delivering insight through reporting and data analysis
Develop dashboards, reports, and visualizations to present complex data in an understandable and actionable format.
Advanced Excel skills
Analytical mind-set with a proven ability to problem solve
Ability to Integrate MS office products into a seamless workflow
Ability to work to tight deadlines and to deliver accurate results
Excellent communication skills and ability to work well in a team
A self-motivated and proactive individual with a can-do attitude and the ability to work on projects and solve problems independently
Able to deliver the final product reliably and organised in a quality fashion

What you'll receive

35 days holiday (pro rata)
10% in-store discount
Sabbatical
Enhanced family leave
Pension scheme
Plus, more of the perks you deserve

We value diversity, equity, and inclusion, welcoming applicants from all backgrounds. Join us to celebrate individuality and grow in a fair, respectful, and inclusive environment.

Disclaimer: due to the high volume of applications we receive, we reserve the right to close a vacancy earlier than the advertised date. This is to ensure our teams can manage application levels while maintaining a positive candidate experience. Once a vacancy has closed, we are unable to consider further applications, so please submit your application as soon as possible to avoid disappointment

*Includes a 10% non-contractual London weighting

If you're ready to get stuck in, want to get more out of your career and make a real difference, find your place at Lidl and apply now

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.