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Automotive data insights lead - sql & python

Newbury
Datatech Analytics
Posted: 5h ago
Offer description

Automotive Data Insights Lead - SQL & Python


Location: West Berkshire - Hybrid working 2 days in the office

Reference: J12993


Salary: Neg up to £60,000 DOE


Note: Full and current UK working rights required for this role


Join a supportive, collaborative team where your inquisitive nature is valued and encouraged.


We’re working with a valued and respected client who is looking to grow their analytical team.


You’ll be responsible for leading the strategic analysis and interpretation of complex datasets.

Your work will directly inform the development of data products that influence key business and research outcomes.

This is a cross-functional role with direct interaction across data engineering, product teams, and stakeholders, both technical and non-technical.



About the Role


Key Responsibilities

Skills


* Translate complex business requirements into robust data solutions and modelling frameworks.
* Collaborate with internal stakeholders and clients to gather requirements and deliver high-impact data insights.
* Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle.
* Drive Agile ways of working - contributing to backlog refinement, defining outcomes, and supporting user acceptance testing.
* Conduct detailed technical analysis of structured and unstructured data to assess structure, quality, and usability.



What We’re Looking For


* Experience working with large datasets, and advanced data modelling techniques.
* Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role.
* Strong experience in SQL (writing and optimising complex queries).
* Ability to engage with stakeholders and translate their needs into actionable data solutions.
* Solid understanding of data structures, schemas, and normalisation principles.
* Skilled in creating impactful data visualisations and dashboards.
* Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy).



If this sounds like the role for you then please apply today!


Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes!


If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

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