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About the 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 focused on turning agreed requirements into robust, well-modelled Power BI solutions on top of our Snowflake data platform.

Responsibilities

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

Requirements

• 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 understanding 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 independently from written requirements, flag risks early, and respect approval gates on structural model changes.
• Fluent in English, with good verbal and non-verbal communication skills.

Skills

• Power BI
• Data Modelling
• DAX
• Power Query
• Report Design
• Composite Models
• Shared/Enterprise Datasets
• DirectQuery
• Analysis Services
• SQL
• Cloud Data Warehouse
• Snowflake
• Dimensional Modelling
• Kimball
• Power BI Platform Administration
• Licensing
• Security Roles
• Permissions
• Workspaces
• Power Automate
• SAP-sourced data (S/4HANA, C4C)
• ELT tools (Dell Boomi)
• Data Pipelines
• Microsoft Fabric
• Agile
• Waterfall

Location

• Global

Work Type

• Full-time

Experience Level

• Demonstrable Power BI development skill
• Experience with composite models and shared/enterprise datasets
• Strong SQL experience
• Solid grasp of dimensional modelling
• Experience administering the Power BI Platform
• Experience in report/dashboard development using PowerBI
• Experience in managing the PowerBI Platform
• Exposure to SAP-sourced data
• Exposure to ELT tools
• Power Automate experience
• Experience in coding with SQL
• Experience in building data pipelines
• Experience of developing end to end data solutions using the Microsoft stack
• Experience with data platforms such as Snowflake
• Experience in requirement gathering and report/dashboard design
• Experience in time and project management
• Experience in training, presenting, and communicating technical topics

About the Company

• INEOS Automotive is building a no-nonsense 4x4, having established itself as a serious contender in 4x4 development and manufacturing.
• Partnerships with major automotive industry names have been secured.
• A world-class production facility and delivery team are in place.
• Grenadiers have been delivered globally, and the Quartermaster pickup is under development.
• INEOS tackles challenges head-on, supporting extraordinary athletes and driving positive change through grit, rigor, and humor.
• The Automotive team comprises approximately 1500 employees across 10 locations and 44 nationalities, working collaboratively to challenge the ordinary.