Data Specialist - Data Analytics Engineer
More about the role
Our Data \& Analytics team creates value for Morrisons by making sure we have the right data in the right place, transformed into clean, accessible structures ready for reporting, data product creation and enabling advanced decision\-making. Utilising our Google Cloud data platform, the Analytics Engineer transforms raw data from across our operations from field to fork into optimised, reliable, and well\-documented data models and data products. You will bridge the gap between technical data pipelines and business insight, enabling analysts and leaders to make faster, better\-informed decisions.
Accountabilities
The role will have the following accountabilities:
Customer
- Build trusted relationships with data consumers and business analysts across internal functions.
- Translate business processes, operational requirements, and user feedback into robust data architecture and optimised analytical datasets.
- Own data model delivery for the domain area, ensuring documentation and data definitions are accurate and accessible.
Colleague
- Champion data literacy, modelling best practices, and standard transformation guidelines across the organisation.
- Mentor trainee data practitioners on SQL standards, data testing, version control, and business domain context.
- Facilitate clear communication between technical engineering teams and non\-technical business stakeholders.
Cash \& Profit
- Support a lean working culture by building optimised, reusable conformed data layers that minimise processing waste and lower GCP cloud compute costs.
- Reduce duplicate engineering efforts by consolidating redundant metrics into centralised analytical data models.
Operational
- Design, code, test, and deploy secure, maintainable data models and transformations using modern data tools (e.g., SQL, Dataform) in Google Cloud Platform.
- Build, maintain, and govern the centralised semantic layer (e.g. LookML, or cloud data catalog metrics) to deliver consistent, trusted business definitions across all reporting platforms.
- Map enterprise domain ontologies into relational data models, ensuring business concepts and their relationships accurately mirror real\-world retail and supply chain processes.
- Implement and maintain metadata repositories, data dictionaries, and lineage tools within the enterprise data catalog.
- Define test conditions and execute automated data quality scripts to validate datasets before production release.
- Continually refine existing models to adapt to operational changes, platform upgrades, and new business priorities.
More about you
What we’re looking for:
Skills, Qualifications and Experience
As a Data \& Analytics Specialist \- Analytics Engineer you will have experience of:
- Data Modelling: Proven experience building and maintaining data models using recognised patterns (e.g., Kimball, Inmon, dimensional modelling).
- Semantic Layer Architecture: Hands\-on experience building and managing centralised semantic layers, metrics tiers, or business abstraction layers in modern data tools.
- Business Ontology \& Domain Mapping: Proven ability to analyse complex enterprise domain ontologies and translate entity relationships (e.g., supplier\-to\-product\-to\-store hierarchies) into structured dimensional schemas.
- Advanced SQL: Exceptional SQL capabilities for data profiling, transformation, aggregation, and performance tuning.
- Data Transformation \& CI/CD: Practical experience using transformation tools (e.g. Dataform) and version control workflows (Git, Jenkins) to deploy maintainable code.
- Data Quality \& Testing: Experience writing automated data validation scripts and test suites to verify accuracy and structural integrity.
- Metadata \& Documentation: Ability to design and manage metadata, data dictionaries, and data cataloging assets.
- Stakeholder Translation: Excellent ability to communicate complex data structures to non\-technical business users.
- Delivery Frameworks: Comfortable working within Agile and Waterfall project delivery methodologies.
Desirable:
- Cloud Infrastructure: Hands\-on experience with Google Cloud Platform (BigQuery, GCP storage) or equivalent cloud providers (AWS/Azure).
- Programming Languages: Proficiency in Python, R, or general\-purpose scripting languages.
- Analytics Tools: Exposure to visualisation software (e.g., Looker, Looker Studio) and proficiency in Look ML.
- Domain Experience: Experience in FMCG, retail, manufacturing, supply chain, or logistics environments.
- Modern Architectures: Exposure to Data Mesh concepts, domain\-driven data ownership, or data catalog tools.
More about our perks
In return for all your hard work, you will receive:
- 15% discount in store from the day you join us
- Additional 10% discount card for a friend or family member
- Annual bonus scheme
- Career progression and development opportunities
- Generous holiday entitlement
- Market leading pension scheme and life assurance
- Healthcare benefits including Aviva Digital GP
- ‘MyPerks’ giving you discount with over 850 retailers
- Free parking onsite
- Enhanced Family, Maternity and Paternity Leave
- Private Healthcare
At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues.
There’s more to our business as it’s fast paced and ever changing, as such we’ve got lots of fresh opportunities for you to play your part in our success. We’d love to meet you!
*At Morrisons, we’re proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that’s good for our customers too.**We’re always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.*
Our Process
---------------
We've outlined below what our typical process looks like, this can vary slightly depending upon the role or team you've applied for. Our goal is to provide a positive and accessible experience for all applicants, ensuring everyone has the support they need to showcase their best selves.
Our resourcing team are on hand to help with any questions about your application and you can reach them by e\-mailing resourcing@morrisonsplc.co.uk.
- 1
Find an opportunity that's right for you
Once you've found a role that's right for you, you can apply via this site. If it's your first time applying with us then we'll need all your essential information and we might ask you to upload your most recent CV. If you've applied for roles with us before then we should recognise you and you won't need to share these details again, unless something has changed that you need to update us on.
- 2
Online Assessment (Customer Assistant roles)
After your application, we might send you an e\-mail and ask you to complete an online assessment. This is typically a situation judgement test where we'll ask you ten questions with mutliple choice answers and takes around 10\-15 minutes to complete. The questions will give you a feel for the types of scenarios you might encounter working in our stores \- think customer first.
- 3
Let's find out more
For some of our stores and site roles, if you've been successful with your application we might just e\-mail and ask you to book a slot for your interview. For other roles our resourcing team will get in touch with you to find out a bit more about you and why you applied. They'll also answer any questions you might have about us and the role. After all, it's a two way process!
- 4
Interview
Our interviews are typically face to face but can sometimes be virtual. Don't worry, we'll advise either way. Your interview can differ depending on the role or team. Part of the interview may include some competency questions against our Ways of Working (listed below).
- 5
Final Stage
With some of our roles there might be a second interveiw. This tends to be for roles in our Head Office and some salaried positions across our stores and sites. As part of this second stage, we might ask you to complete a task, such as a SWOT analysis or something similar, and present it back during the interview. This helps us understand your approach and thinking about the role.
- 6
Decision
Our resourcing team or the store or site you've applied to will be in touch with you as soon as they can to let you know the outcome. If you've been successful we'll share the details of our offer with you and follow up with everything you need on e\-mail.
This listing is from Indeed. View original listing ↗