At a Glance
- Tasks: Build and develop in-house analytics capabilities using Python and SQL.
- Company: Rapidly growing organisation in the food services sector with a purpose-driven culture.
- Benefits: Competitive salary, hybrid work, 25 days leave, and extensive training opportunities.
- Other info: Direct exposure to senior leadership and excellent career growth potential.
- Why this job: Make a meaningful impact while shaping a modern data platform.
- Qualifications: Experience in analytics engineering, strong SQL and Python skills required.
The predicted salary is between 80000 - 100000 £ per year.
Location: Surrey (Hybrid 2/3 days per week in office)
Industry: Food Services
Salary: £80,000 - £100,000 DOE
The Opportunity
I'm currently working with a rapidly growing organisation within the food services sector that is looking to hire an Analytics Engineer to help build and shape its in-house analytics capability. This is a key role within the business, focused on reducing reliance on third-party suppliers and contractors while developing a scalable, modern data platform that supports decision-making across multiple business functions. Reporting directly to the Chief Information Officer, you'll work closely with stakeholders across Operations, Finance, Marketing and IT to deliver robust data solutions, actionable insights and a best-in-class analytics environment. This is an excellent opportunity for someone who enjoys combining data engineering, analytics, stakeholder engagement and business transformation within a fast-paced and purpose-driven organisation.
Key Responsibilities
- Build and develop the organisation's in-house analytics capability
- Design, build, and maintain data pipelines using Python and dlt to ingest data from multiple business systems and APIs
- Develop and manage dimensional data models within Snowflake using SQLMesh, dbt, or similar technologies
- Optimise Snowflake performance and drive cost-efficient data platform management
- Partner with Business Intelligence teams to deliver meaningful insights and support reporting through Power BI and Metabase
- Ensure data is accessible, reliable, governed, and well documented through metadata management tools
- Manage and prioritise a backlog of data requirements across the business
- Implement and maintain CI/CD practices and version control using GitHub
- Collaborate with stakeholders to translate business requirements into scalable data solutions
- Support data quality, governance, and continuous improvement initiatives
- Communicate technical concepts effectively to both technical and non-technical audiences
- Contribute to the ongoing development of the company's data and analytics strategy
Essential Skills & Experience
- Previous experience in an Analytics Engineer, Data Engineer, Analytics Developer, or similar role
- Advanced SQL skills and strong production-level Python development experience
- Strong experience working with Snowflake or similar cloud-based data platforms
- Proven experience building and maintaining data pipelines and ELT processes
- Strong understanding of dimensional data modelling using SQLMesh, dbt, or equivalent tools
- Experience with Git workflows including branching, pull requests, and CI/CD practices
- Strong stakeholder management and communication skills
- Excellent analytical, problem-solving, and organisational abilities
- Experience delivering scalable and reliable data solutions within a commercial environment
Desirable Skills
- Experience within food services, hospitality, retail, education, or related sectors
- Familiarity with metadata and data cataloguing tools such as OpenMetadata
- Experience supporting Power BI, Metabase, or similar reporting platforms
- Understanding of modern data platform architecture and cloud data ecosystems
- Experience working within fast-growing or transformational environments
- Ability to communicate data insights and business value to senior stakeholders
Package & Benefits
- £80,000 - £100,000 salary (depending on experience)
- Hybrid working arrangement
- Opportunity to build and shape a growing in-house analytics function
- Direct exposure to senior leadership and strategic business initiatives
- 25 days annual leave plus bank holidays
- Pension scheme and additional company benefits
- Staff discount scheme and employee perks programme
- Access to extensive training, qualifications, and career development opportunities
- Monthly incentives and recognition programmes
- Opportunity to make a meaningful impact within a growing organisation
Analytics Engineer in Guildford employer: Oscar
Join a rapidly growing organisation in the food services sector that values innovation and employee development. As an Analytics Engineer, you'll enjoy a hybrid working model, competitive salary, and the chance to shape the in-house analytics function while collaborating directly with senior leadership. With a strong focus on career growth, extensive training opportunities, and a supportive work culture, this is an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Guildford
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Oscar!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Oscar.
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We think you need these skills to ace Analytics Engineer in Guildford
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 Oscar, 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 Oscar. 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 Oscar
✨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 Oscar!
✨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.
