BI Developer in London

BI Developer in London

London Full-Time 51750 - 63250 £ / year (est.) No working from home possible
INEOS Automotive

At a Glance

  • Tasks: Create and maintain impactful Power BI reports for global sales operations.
  • Company: Join INEOS Automotive, a leader in 4X4 development with a dynamic culture.
  • Benefits: Competitive salary, career growth opportunities, and a collaborative international team.
  • Other info: Work in a fast-paced environment with diverse colleagues from around the world.
  • Why this job: Be part of an innovative team transforming data into actionable insights.
  • Qualifications: Strong Power BI skills and experience with SQL and data modelling.

The predicted salary is between 51750 - 63250 £ per year.

INEOS Automotive - Built For More

Since we started our journey to build a no nonsense 4X4, we've come a long way. We've established INEOS Automotive as a serious contender in 4X4 development and manufacturing. We've partnered with some of the biggest names in the automotive industry. We've made our way from vision to prototype. We've secured a world-class production facility and delivery team. We've delivered Grenadiers to customers all around the world. We're building our double cab pick up, the Quartermaster.

People and Culture

Easy never changed anything. Not in manufacturing, science, engineering or energy - and certainly not elite sport. At INEOS we tackle every challenge head-on, and we help extraordinary athletes achieve extraordinary things. When it comes to making positive change, we know nothing gets done without grit, rigor and humor. Our Automotive team consists of around 1500 employees, 10 locations and 44 nationalities, we're an international team working together to challenge the ordinary. If this sounds like you, let's talk.

Your role:

We are looking for a BI Developer to join Global Sales Operations, working alongside the Global Sales Reporting Lead to build and maintain the reporting estate that supports INEOS Automotive's global sales, retailer and customer experience operations. This is a hands-on delivery role. Requirements, stakeholder decisions and go-live approvals are owned by the Reporting Lead; your focus is turning agreed requirements into robust, well-modelled Power BI solutions on top of our Snowflake data platform. You will work across a live portfolio of dashboards spanning leads, order take, handovers, retailer performance, inventory and customer experience.

Our stack is Microsoft Power BI (including composite models over Azure Analysis Services and shared enterprise datasets), Snowflake as the data warehouse, and Power Automate for reporting workflow automation. This is an excellent opportunity to join a leading company. Our commitment to extending data and reporting products and services across the company provides great scope and opportunity to significantly develop and grow your career.

Responsibilities include (but are not limited to):

  • Scoping, designing, building, servicing, and supporting all new and existing reports / dashboards within the organisation with the goal of providing robust analytical solutions that support the strategic aims.
  • Gathering, inspecting, cleaning, transforming and modelling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.
  • Capturing data requirements to design, extend or maintain logical and physical data models which support new and existing BI initiatives.
  • Delivering testing, maintaining test scenarios, user acceptance testing and end user training.
  • Responsible for the BI estate and conducting approved technology upgrades, providing technical advice, product information and 1st line support for the BI user community.

What we are looking for:

  • Strong, demonstrable Power BI development skill: data modelling, advanced DAX (filter context, time intelligence, performance), Power Query, and report design.
  • Experience with composite models and shared/enterprise datasets (DirectQuery to Analysis Services or Power BI datasets), including their limitations around relationships and calculated columns.
  • Strong SQL, with the ability to write, test and tune queries and views against a cloud data warehouse (Snowflake preferred).
  • Solid grasp of dimensional modelling (Kimball) and when to solve a problem in the warehouse versus the semantic model.
  • Experience administering the Power BI Platform: licensing, security roles and permissions, and workspaces.
  • Ability to work from written requirements independently, flag risks early, and respect approval gates on structural model changes.
  • Fluent in English, with good verbal and non-verbal communication skills.

Desired Experience:

  • Experience in report/dashboard development using PowerBI.
  • Experience in managing the PowerBI Platform (licencing, security, workspaces).
  • Exposure to SAP-sourced data (S/4HANA, C4C) and ELT tools such as Dell Boomi.
  • Power Automate (or similar) for scheduled data exports and workflow automation.
  • Experience in coding with SQL and manipulating large datasets.
  • Experience in building data pipelines (extract, transform and load) to transport a wide variety of data types and high volumes of data.
  • Experience of developing end to end data solutions using the Microsoft stack namely, Microsoft Fabric.
  • Experience with data platforms such as Snowflake.
  • Experience in requirement gathering and report/dashboard design.
  • Experience in time and project management using Agile or Waterfall principles.
  • Experience in training, presenting, and communicating technical topics to a non-technical audience at all levels.
  • Knowledge of Data Warehousing concepts and best practice - architecture and methodology (ideally Kimball) and BI Software Development Life Cycle (SDLC).

Behavioural skills:

  • Pro-activity - the drive to actively own the products both in development and in operation.
  • Communication - explain to the goals, objectives, and limitations of product design.
  • Positivity - see the opportunities in situations; ensure the team understands the benefit of the work.
  • Detail - question solutions and situations to ensure the business & team understand positions taken.
  • Commerciality - understand the business reason for the work beyond the technical challenges.
  • Pragmatism - pragmatic approach to solving conflict, between ideal solutions and immediate need.

If the role sounds of interest and you want to learn more, please apply. If your application is successful one of our team members will be in touch to arrange an initial conversation!

BI Developer in London employer: INEOS Automotive

At INEOS Automotive, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration among our diverse team of 1,500 employees from 44 nationalities. As a Digital Experience Lead, you will have the opportunity to drive impactful changes in our global web platform while enjoying competitive benefits, professional development opportunities, and the chance to be part of a pioneering automotive brand that values grit, rigor, and humour in tackling challenges head-on.

INEOS Automotive

Contact Details:

INEOS Automotive Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land BI Developer in London

Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like INEOS Automotive.

Apply Directly through Our Website

When you find a suitable opening like BI Developer at INEOS Automotive, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace BI Developer in London

Power BI Development
Data Modelling
Advanced DAX
Power Query
Report Design
SQL
Dimensional Modelling

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at INEOS Automotive, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at INEOS Automotive. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at INEOS Automotive

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at INEOS Automotive!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.