At a Glance
- Tasks: Transform raw data into clean, reliable datasets and optimise workflows for machine learning.
- Company: Join MandM, a leading online retailer in a modern, collaborative workspace.
- Benefits: Enjoy generous holiday allowance, staff discounts, and 2 days paid volunteering.
- Other info: Work closely with data scientists and engineers in a dynamic environment.
- Why this job: Make a massive impact from day one in a brand-new analytics role.
- Qualifications: Expertise in SQL, data modelling, and basic Python scripting required.
The predicted salary is between 40000 - 50000 £ per year.
Working Pattern: Hybrid (3 days a week onsite)
The Opportunity
MandM is evolving how we harness the power of data, bridging the gap between core infrastructure and cutting-edge data science initiatives. We are looking for an Analytics Engineer who will report directly to our Analytics Manager and act as the driving force behind our data transformation and modelling practices. This is a role with true ownership. You will deep-dive into our data ecosystem, taking raw data and turning it into high-performing, clean, and reliable pipelines. If you love writing advanced SQL, want the autonomy to introduce modern data tools (like dbt), and are excited to help optimise workflows and support machine learning projects, this is the perfect opportunity to make a massive impact from day one.
Who Are we?
MandM is one of the biggest employers in Herefordshire and one of Europe’s leading online, off-price retailers, selling branded Fashion, Sport & Outdoor products for Men, Women and Children. We offer our customers fantastic value by partnering with companies who we have built long term relationships with, enabling us to offer our customers big household names and up-and-coming brands, giving fantastic value all year round. We are located in the heart of Hereford City Centre in our brand new, state of the art office.
More than a role
- Giving Back: 2 days paid volunteering to support a cause you care about
- Career Growth: Opportunity to grow
- Staff Discounts: Stay stylish with our exclusive discounts.
- Generous Holiday Allowance: Enjoy 5 weeks of well-deserved breaks. You even have the option to buy an extra week
- Birthday Delight: Take your special day off to celebrate YOU
The Role Scope
Reporting directly to the Analytics Manager, you will lead the charge in making our data pipelines work smarter and better. While this role sits on the engineering side of data, it requires a strong analytical mindset. You will navigate our Google Cloud Platform (GCP) ecosystem, evaluating and redesigning workflows to support downstream business intelligence and machine learning models. You don't need to be a software developer, but you do need to be passionate about clean code, robust data modelling, and data reliability.
Role key responsibilities
- Transform raw, complex data into clean, well-tested, and fully documented datasets that empower downstream analytics and business intelligence.
- Evaluate, redesign, and continuously improve existing data workflows to maximise efficiency, performance, and scalability.
- Champion modern data engineering best practices, helping the team introduce and implement tools like dbt or Dataform to establish a single source of truth.
- Partner closely with Data Scientists to help operationalise, deploy, and maintain machine learning and AI models in stable production environments.
- Utilize Python to build data manipulation scripts that transition automated data projects out of development environments into production.
- Take a lead role in shaping, implementing, and maintaining robust alerting and monitoring solutions to guarantee data quality and system health.
- Help track data reliability and model drift detection to ensure accuracy for the wider business.
- Work alongside data scientists, data engineers, the technology team, and business stakeholders to ensure our data infrastructure aligns with strategic retail goals.
- Manage all person-identifiable data with due care and diligence, ensuring compliance with Data Protection and Privacy Policies.
About You
- Advanced SQL & Data Modelling: You are an expert at writing highly optimised, complex SQL queries and have a proven track record of structuring messy data into clean schemas.
- dbt or Dataform Exposure: You understand data transformation tools and best practices. If you already have a dbt accreditation or experience building with it, that’s a massive bonus!
- Core Programming: Comfort writing basic Python scripts (e.g., using Pandas) for data manipulation and pipeline development.
- Cloud Ecosystems: Hands-on experience working within cloud environments. Familiarity with Google Cloud Platform (GCP) or BigQuery is highly advantageous.
- Engineering Principles: A solid understanding of git/version control, data cleaning techniques, and data quality checks.
- Industry Agnostic: We care about your technical data skills, not your industry background—retail experience is not required.
- Experience with workflow orchestration tools like Dataiku or Apache Airflow.
Why Join MandM?
- A Clean Canvas: Because this is a brand-new role under the Analytics Manager, you get to help make our pipelines work better, without the headache of fixing decades of old legacy code.
- Technical Environment: You’ll be working closely with data leadership, data engineers, and data scientists, making it a brilliant environment to naturally level up your data modelling skills.
- Modern Workspace: Work from our brand-new, state-of-the-art office in Hereford city centre, designed specifically for teamwork and collaboration.
About Us
Our Values At MandM, our employees are driven by a shared commitment to excellence and making a real impact in the industry. We pride ourselves on upholding these core values in everything we do.
Analytics Engineer in Hereford employer: MandM
MandM is an exceptional employer located in the vibrant heart of Hereford City Centre, offering a modern workspace designed for collaboration and creativity. With a strong commitment to employee growth, we provide generous benefits including 2 days of paid volunteering, exclusive staff discounts, and a flexible holiday allowance, all while fostering a culture that values mentorship and impactful contributions to user experience design. Join us to make a meaningful difference in the digital landscape and advance your career in a supportive, innovative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Hereford
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Analytics Engineer in Hereford
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MandM, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MandM. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MandM
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MandM!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
