At a Glance
- Tasks: Lead analytics engineering projects and shape data modelling across the business.
- Company: Established consumer business with a strong online presence.
- Benefits: Up to £85,000 salary, 30% bonus, and flexible remote work.
- Other info: Autonomous role with opportunities for mentorship and career growth.
- Why this job: Make a real impact with cutting-edge technology and lead innovative analytics solutions.
- Qualifications: Advanced SQL skills, dbt experience, and strong stakeholder management.
The predicted salary is between 51750 - 63250 £ per year.
An established consumer business with a strong online presence is hiring a Lead Analytics Engineer to shape how data is modelled, governed and consumed across the wider business. Real ownership, real technical leadership, and a modern stack to build on.
The role:
- You'd sit within the Analytics Engineering team, working closely with the Analytics Engineering Manager but operating with a lot of autonomy.
- The role is domain led, meaning you'd take ownership across areas like customer, commercial and operations, shaping the definition and delivery of analytics engineering solutions end to end.
- Not a line management role, but a genuine technical leadership one.
- You'd set the bar for modelling, testing, documentation and governance, mentor the wider team, and be the person other engineers look to on the harder architectural calls.
Tech stack:
- Snowflake
- dbt
- SQL
- Python
- Fivetran
- Dagster
- DataDog
- Tableau
- AWS (SageMaker, EC2, Lambda, Glue, S3)
- Terraform
- API Gateway
- GitHub
- Jira
- Confluence
What we're looking for:
- Advanced SQL, genuinely at the top end for complex modelling and performance work
- Deep hands on dbt experience, extensive scalable model design
- Strong Snowflake experience including performance and cost optimisation at scale
- Proven experience shaping analytics engineering at a business domain level
- Python for automation and processing
- Confident with stakeholder management across product, marketing, finance and data science
- Comfortable operating independently and making calls in ambiguous environments
- A mentor who takes real pride in raising the bar around them
What's on offer:
- Up to £85,000 base
- Up to 30% bonus
- 1 day a week in the London office
- Modern, well invested data stack with genuine scope for impact
Analytics Engineering Lead employer: Xcede Recruitment Solutions
As a Data Delivery Manager at our Reigate location, you will thrive in a dynamic and supportive work culture that prioritises collaboration and innovation. We offer a competitive salary, hybrid working options, and a comprehensive benefits package, including generous holiday and an annual bonus, ensuring that our employees are well taken care of while they grow their careers in the data field.
Contact Details:
Xcede Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Lead
✨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 Xcede Recruitment Solutions!
✨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 Engineering Lead at Xcede Recruitment Solutions.
✨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 Xcede Recruitment Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Engineering Lead at Xcede Recruitment Solutions, 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 Engineering Lead
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 Xcede Recruitment Solutions, 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 Xcede Recruitment Solutions. 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 Xcede Recruitment Solutions
✨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 Xcede Recruitment Solutions!
✨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.