At a Glance
- Tasks: Build and maintain data models that drive decision-making across the business.
- Company: Fast-growing premium body care brand based in the UK.
- Benefits: Competitive salary, remote work, and opportunities for growth.
- Other info: Dynamic startup environment with exposure to cutting-edge analytics tools.
- Why this job: Shape how data is used and make a real impact on the business.
- Qualifications: Strong SQL skills and experience with dbt or similar frameworks.
The predicted salary is between 50000 - 60000 £ per year.
About the job
We're a fast-growing, premium body care brand, based in the UK. Data isn't a bolt-on for us, it's native to how we operate, and we're hiring someone to help build that out properly. This is a hands-on builder role, we want working systems in the hands of our operators, not strategies on a slide deck. You'll work alongside our departmental leads to ship fast. You will be responsible for building and maintaining the models that power decision-making across the business. From customer acquisition and attribution, to retention, subscriptions, forecasting, and operational reporting, you will transform complex data into trusted, scalable systems that teams rely on every day.
Working directly with leadership, marketing, operations, and finance, you’ll help define how we measure the business, uncover opportunities for growth, and build the foundations that enable better decisions at every level of the company.
What You’ll Do
- Customer & Marketing Analytics
- Build customer journey models that connect marketing activity to customer behaviour and purchases
- Define and develop attribution frameworks that go beyond platform-reported metrics
- Build customer segmentation and audience models
- Develop models that capture and analyse customer behaviour across the website, including page journeys, time on site, product interactions, add-to-cart events, checkout behaviour and conversion funnels
- Improve our understanding of customer acquisition, retention and lifetime value
- Support marketing teams with audience creation, campaign analysis and performance measurement
- Analytics Engineering
- Build and maintain dbt models in BigQuery
- Develop clean, reliable datasets for reporting and analysis
- Improve data quality, testing and documentation across the warehouse
- Support integration of new ecommerce, marketing and operational data sources
- Help establish best practices for analytics engineering, deployment and development workflows
- Reporting & Insights
- Build dashboards and reporting for commercial, marketing and operational teams
- Investigate business questions using SQL and warehouse data
- Translate analysis into clear recommendations and actionable insights
- Partner with stakeholders to identify opportunities for growth, efficiency and optimisation
What We’re Looking For
Essential
- Strong SQL skills
- Experience working with dbt or similar transformation frameworks
- Experience working with a modern cloud data warehouse (BigQuery, Snowflake, Redshift or Databricks)
- Strong analytical and problem-solving skills
- Experience building reporting and analytical datasets for business users
- Ability to work independently and communicate effectively with non-technical stakeholders
- Experience translating business requirements into scalable data models
Nice to Have
- Experience in ecommerce, DTC or subscription businesses
- Experience working with Shopify and marketing platforms such as Meta, Google Ads or Klaviyo
- Familiarity with attribution, customer journey analysis, retention and lifetime value modelling
- Experience with BI tools such as Looker Studio, Sigma, Tableau, Power BI or ThoughtSpot
- Experience working in a fast-moving startup or scale-up environment
What We Offer
- A visible role with direct access to leadership and the opportunity to shape how data is used across the business
- Ownership of meaningful projects with real commercial impact
- The opportunity to build and improve a modern analytics stack from the ground up
- Exposure to AI-native ways of working and the latest analytics tooling
- Primarily remote working, with occasional visits to our office in Bingley
- Competitive salary dependent on experience
- A fast-moving environment with significant room for growth and progression
Analytics Engineer in Sheffield employer: Besque
Join our dynamic team at a fast-growing premium body care brand, where data is at the heart of our operations. As an Analytics Engineer, you'll enjoy a hands-on role with direct access to leadership, allowing you to shape impactful data strategies that drive business decisions. With a focus on employee growth, competitive salaries, and a flexible remote working environment, we offer a unique opportunity to build a modern analytics stack while contributing to meaningful projects in a supportive and innovative culture.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Sheffield
✨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 Besque!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Engineer at Besque.
✨Leverage Professional Networks
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 Besque.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Engineer at Besque, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics Engineer in Sheffield
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 Besque, 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 Besque. 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 Besque
✨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 Besque!
✨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.
