At a Glance
- Tasks: Lead analytics delivery and design scalable data pipelines in a fast-paced SaaS environment.
- Company: Join a rapidly growing SaaS business focused on data-driven decision-making.
- Benefits: Enjoy hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential in a collaborative team.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Experience with SQL, dbt, Python, and cloud data warehouses is essential.
The predicted salary is between 60750 - 74250 £ per year.
I'm currently supporting a fast-growing SaaS business with an urgent requirement for an experienced Lead Analytics Engineer / Senior Data Contractor to help drive and stabilise their analytics capability. This is a highly hands-on role, ideal for someone who enjoys working across data engineering, analytics, and commercial insight, with strong exposure to modern cloud data stacks and stakeholder-facing delivery. You'll be joining a fast-paced environment where data is central to product, commercial, finance, and leadership decision-making.
The Role
- You'll take ownership of analytics delivery across the business, helping to ensure data is trusted, accessible, and directly supports strategic decisions.
- Designing and maintaining scalable data pipelines and analytical datasets.
- Building and refining SQL / dbt transformation logic.
- Developing robust semantic models and business metrics frameworks.
- Delivering high-quality Power BI dashboards and reporting.
- Supporting cloud data warehouse environments such as Redshift, Snowflake, Databricks, or similar.
- Driving data quality, validation, and testing best practice.
- Working closely with product, commercial, finance, and leadership teams.
- Translating complex data into clear, decision-ready insight.
Required Experience
- Advanced SQL
- dbt
- Python
- Power BI
- Cloud warehouse experience (Redshift / Snowflake / Databricks / Fabric / AWS)
- Strong data modelling and semantic layer design
- KPI / metrics ownership
- Experience in SaaS, product-led, fintech, or scale-up environments
Ideal Background
- Lead Analytics Engineer
- Senior Analytics Engineer
- Senior Data Engineer
- Data & Analytics Lead
- BI / Analytics Contractor
Location: London / hybrid working.
Lead Analytics Engineer employer: SF Recruitment
Join our dynamic team as an Internal Sales Manager in Baldock, where you'll thrive in a supportive and fast-paced environment that champions innovation and growth. We offer competitive salaries, performance bonuses, and the flexibility of hybrid working, ensuring a healthy work-life balance while providing ample opportunities for professional development and career advancement. Our collaborative culture encourages creativity and empowers you to make a meaningful impact in expanding our international market presence.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analytics Engineer
✨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 SF Recruitment!
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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 SF Recruitment.
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When you find a suitable opening like Lead Analytics Engineer at SF Recruitment, 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 Lead Analytics Engineer
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 SF Recruitment, 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 SF Recruitment. 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 SF Recruitment
✨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 SF Recruitment!
✨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.
