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Analytics Engineer

Keyloop

Keyloop

Data Science
Poland
Posted on Sep 8, 2025
Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers.
We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs.
We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it?
As an Analytics Engineer at Keyloop you will work within the Analytics Engineering team supporting the data strategy in governance, collection and output for optimal use within other teams such as Data Platform Engineering and Business Intelligence. You will be responsible for ensuring deliverables across different data disciplines, in-line with the ultimate data product vision.
You will also be required to contribute to scoping and discovery exercises being conducted elsewhere in the business, leveraging your expert knowledge of the data and business intelligence offering and the associated data requirements. You will therefore be working in a busy and multi-functional team, planning and prioritising a variable workload and delivering to deadlines.
You will report to the Lead Analytics Engineer, and you may provide mentorship to other analysts in Analytics Engineering or Business Intelligence where appropriate to support their knowledge and skills growth.

Key Responsibilities:

  • Develop and maintain data models – Design, develop and maintain robust, scalable and well-documented data models within our data warehouse
  • Ensure data quality and integrity – Implement and monitor data quality checks, identify discrepancies and collaborate cross-functionally to resolve data issues
  • Supporting the wider business to access data as easily as possible and supporting various areas of the business with data-driven insight to help achieve goals and gathering end-user requirements
  • Contribute to the development and enforcement of data governance standards
  • Work cross functionally with the Data Platform Engineering and Business Intelligence teams to aid seamless delivery
  • Translate high level roadmap ambitions into user stories, refinement of user stories as required with development teams and meeting with the relevant business stakeholders when needed to refine user stories
  • Pre and post release communications where necessary to relevant stakeholders
  • Ensuring insights are comprehensible for both non-technical and technical stakeholders
  • Conducting data analysis to provide insightful and actionable information to relevant stakeholders, whilst also highlighting any data issues or findings and offering solutions
  • Working alongside the Lead Analytics Engineer to streamline Analytics Engineering processes to improve efficiency and data accuracy that will waterfall into other data teams
  • Compiling and analysing various data sources to identify trends and patterns and having the ability to make complicated datasets simple and easy-to-read and understand
  • Documenting processes (or SOPs) for commonly performed tasks to assist with the training of other Analytics Engineers, or to aid business continuity as a general theme
  • Fully understanding the data landscape in databases, analytics and applications and all the front-end and back-end products in the global portfolio
  • Understanding of data compliance and laws, as well as the full data collection to output technology stack

Technical Competencies:

  • SQL for data manipulation, transformation and query optimisation
  • Experience with a modern data warehouse platform (e.g. Amazon Redshift)
  • Understanding of data warehousing concepts, dimensional modelling (star schema approach), and ETL/ELT principles
  • Data segmentation techniques
  • Communicate analysis coherently – both verbally and visually to both technical and non-technical stakeholders
  • Tableau or equivalent visualisation tool experience
  • Hands-on experience for data modelling and transformation (desirable)
  • Familiarity with version control systems (e.g. Git) (desirable)

Behavioural & Personality Competencies:

  • Analytical and logical mindset
  • Time management skills
  • High standard of problem-solving skills and attention to detail
  • Good communication and listening skills
  • Team player and collaborative
  • Ability to manage multiple different projects
  • Organised & self-sufficient
  • Logical, methodical approach to problem and issue solving
  • Numerate, innovative and critical thinking

Desirable Skills:

  • JIRA software
  • AWS tech
  • Experience, or an interest in, the automotive industry
  • Experience of Agile/SCRUM delivery environment
Why join us?
We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way.
An inclusive environment to thrive
We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day.
Be rewarded for your efforts
We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration.
Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials.
We are also an equal opportunity employer committed to building a diverse and inclusive workforce. We value diversity and encourage candidates of all backgrounds to apply.