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Bertrandt Group

Data Delivery Analyst

CompanyBertrandt Group
LocationBasildon, England, United Kingdom
Posted At2/23/2026

UK Visa Sponsorship Analytics

Occupation Type
Data analysts
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700 (£21.38 per hour)
Standard minimum applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Bertrandt Group. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description
Workplace: SS15 6EE, Laindon

Apply online!

What to expect:

Bertrandt is an independent and international development service provider with long years of automotive expertise. With cross-industry know-how and a holistic understanding of systems and products, we create technological solutions at any stage of the product development process. We deal with a focus on hot topics such as digitalization, e-mobility and autonomous systems, mainly for the automotive, aerospace and mechanical engineering sectors, and consistently facilitate the development of tailored solutions in these areas. Our goal: to accelerate technological progress and make a relevant contribution to a sustainable future. We work on this every day – with around 14,000 employees at more than 50 sites worldwide.

We are recruiting for a XR Engineer - Data Delivery Analyst

Position description:

Working within the Data and Analytics Solutions team within Ford Credit Europe, candidate will be responsible for working with internal customers, Data Engineering, and Architecture to ingest data, create pipelines, and facilitate customer reporting from the company’s Google Cloud Platform Data Warehouse.

What you bring along:

Skills required
:

Technical Skills

  • SQL: Advanced proficiency in SQL for complex queries, data transformations, and performance optimization
  • Python: Strong Python skills for data manipulation, analysis, and automation scripts
  • Power BI: Proficiency in Power BI for business intelligence and reporting solutions
  • GCP: Familiarity with Google Cloud Platform data services and tools
  • AI/ML Tools: Basic exposure to AI/ML concepts and willingness to learn tools like BigQuery ML, AutoML, or other GCP AI services


Data Management Skills

  • Semantic Modeling: Understanding of semantic layer concepts, business definitions, and logical data modeling
  • Data Quality: Knowledge of data validation, cleansing, and quality assurance processes
  • Business Intelligence: Experience creating self-service analytics and reporting solutions
  • Data Analysis: Ability to analyze complex datasets and translate findings into business insights


Business & Communication Skills

  • Requirements Gathering: Ability to work with business stakeholders to understand and document data needs
  • Stakeholder Management: Effective communication across technical and business teams
  • Problem-Solving: Systematic approach to resolving data-related business challenges
  • Training & Support: Capability to provide guidance and training to business users
  • Cloud Data Warehousing: Knowledge of BigQuery and cloud-based data storage solutions
  • Version Control: Experience with Git for managing code


  • Professional Attributes

    • Collaboration: Strong partnership skills for working with Data Engineering, Architecture, Governance teams
    • Analytical Mindset: Logical approach to data modeling and semantic layer design
    • Continuous Learning: Interest in emerging data technologies and AI applications in banking
    • Attention to Detail: Critical for maintaining data accuracy in regulated environments
    • Agile Methodologies: managing own work and managing roadmaps with key stakeholders


    Skills preferred:

    Looker: Hands-on experience with Looker and LookML

    Experience required:

    Experience working within a data function or supporting data through engineering work or business projects. Refer to detailed skills requirements to guide on experience needed.

    Education required:

    Degree Required

    Education preferred:

    Data bachelors degree / Masters or specific Data qualification

    Position is confirmed inside IR35. Successful candidates have to be eligible to work in the UK. Travel: Maybe to Germany.

    What we offer: An interesting and varied role with an expanding international company, recognised for its industry expertise, company culture supporting teamwork and creativity

    Contact:

    Heidi Williams

    Tel.: 01268564300