RLE International is working on behalf of their Essex based Automotive Client, who are currently looking for a Data Delivery Analyst to support their team.
Position Description:
Rate: £33.70 (via Umbrella PAYE)
Data Delivery Analyst
Working within the Data and Analytics Solutions team for our client.
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.
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 Modelling: Understanding of semantic layer concepts, business definitions, and logical data modelling
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 analyse 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 modelling 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.
Education Required:
Degree Required
Education Preferred:
Data bachelors degree / Masters or specific Data qualification
Additional Information:
** INSIDE IR35**
Location: 4 Days on-site in Dunton required
Contact to end of year and then in year end renewals
Eligibility:
Due to working on behalf of our client, unfortunately if you require sponsorship for a visa to work in the UK your application will be automatically declined