At a Glance
- Tasks: Design and optimise data models for impactful analytics and decision-making.
- Company: Join CHEP, a global leader in sustainable logistics with a diverse workforce.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for personal growth.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real difference in global sustainability while developing your skills in data analytics.
- Qualifications: Experience in data modelling, analytics tools, and strong collaboration skills.
The predicted salary is between 54000 - 66000 £ per year.
CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact.
In this role, you will design, implement, and optimise inclusive, high-quality data models and platform performance to enable accurate, efficient analytics and support data-driven decision-making across the organisation. You will collaborate with diverse stakeholders and empower users through technical support, training, and best-practice guidance, ensuring everyone can confidently access, understand, and maximise the value of the platform.
Key Responsibilities May Include:
- Design and implement data models and indexes required to support the platform and ensuring that the data is organized and structured in a way that enables efficient and effective analysis.
- Design and implement data models optimized for analytics ensuring high levels of data quality and integrity for accurate analytics outcomes.
- Provide technical support to end users, resolving any technical issues that arise, and ensuring that the platform is functioning effectively and efficiently.
- Migrate data from existing systems into the platform and ensuring that the data is structured and organized in a way that enables effective analysis.
- Monitor the performance of the platform, identifying areas for improvement, and implementing optimizations to ensure that the platform is functioning efficiently and effectively.
- Providing training and support to end users, helping them to understand and use the platform effectively, and ensuring that they are able to extract the maximum value from the platform.
- Stay up to date with the latest developments in the data analytics and business intelligence industries, and ensuring that the platform is configured and optimized to meet the latest standards and best practices.
- Collaborate with cross functional stakeholder groups to align data outputs with dynamic business needs.
Key Requirements:
- Semantic modelling + KPI governance
- Lakehouse-first analytics delivery
- BI platform engineering
- Engineering discipline for analytics
- Stakeholder delivery
Skills and experience:
- Experience with dbt-like practices (modular models, tests, docs, CI)
- Familiarity with Microsoft guidance for Power BI lifecycle management and managing change across environments.
- Exposure to BDH ecosystem tools such as Dataiku and catalogue patterns.
- Awareness of BDH ingestion patterns (e.g., Lakeflow Connect/Boomi) to anticipate downstream impacts.
Remote Type: Hybrid Remote
Skills to succeed in the role:
- Adaptability
- Data Architecture Development
- Data Engineering
- Data Integration
- Data Integrity
- Data Modeling
- Data Security
- Empathy
- Experimentation
- Microsoft Power Business Intelligence (BI)
- Python (Programming Language)
- Tableau (Software)
- Taking Ownership
- Teamwork
- Understand Customers
We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential.
Summary Location: Manchester, Lancashire, United Kingdom Type: Full time
Analytics Engineer in Manchester employer: Brambles
Join a dynamic team in Manchester where innovation meets opportunity! As a Category Manager, you'll benefit from a supportive work culture that values creativity and collaboration, alongside competitive salary packages and professional development opportunities. With a focus on employee growth and a commitment to shaping the future of workwear, this is an excellent place for those looking to make a meaningful impact in their careers.
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We think this is how you could land Analytics Engineer in Manchester
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We think you need these skills to ace Analytics Engineer in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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