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- Tasks: Lead analytics delivery, design data pipelines, and create insightful dashboards.
- Company: Fast-growing SaaS business with a focus on data-driven decision-making.
- Benefits: Hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Fast-paced environment with a strong emphasis on collaboration and innovation.
- Why this job: Join a dynamic team and make a real impact with your data skills.
- Qualifications: Experience in SQL, Python, Power BI, and cloud data environments.
The predicted salary is between 70000 - 90000 ÂŁ per year.
London / Hybrid | Contract | SaaS / Product‑Led Environment
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. Key responsibilities include:
- 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
We’re looking for someone with strong hands‑on capability across:
- 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
This role would suit someone currently working as a:
- Lead Analytics Engineer
- BI / Analytics Contractor
Location London / hybrid working. If this sounds relevant, please apply or get in touch directly for more information.
Lead Analytics Engineer employer: SF Technology Partners
Contact Detail:
SF Technology Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the SaaS and analytics space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with SQL, Power BI, and cloud data stacks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios. Be ready to discuss how you've tackled data challenges in the past and how you can bring value to their team. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Analytics Engineer role. Highlight your hands-on experience with SQL, dbt, and cloud data warehouses like Redshift or Snowflake. We want to see how you can drive analytics delivery!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics and how your background in SaaS and product-led environments makes you a perfect fit for us. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any cool projects involving data pipelines, Power BI dashboards, or data modelling, make sure to mention them! We love seeing real-world examples of your work that demonstrate your ability to translate complex data into actionable insights.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at SF Technology Partners
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like SQL, dbt, and Power BI. Brush up on your cloud data warehouse knowledge too, especially with platforms like Redshift or Snowflake. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think about times when you had to ensure data quality or deliver insights under tight deadlines. This will demonstrate your ability to thrive in a fast-paced environment and your readiness to take ownership of analytics delivery.
✨Understand the Business Context
Familiarise yourself with the SaaS industry and the specific business model of the company you're interviewing with. Be ready to explain how your analytics work can directly support strategic decisions across product, commercial, and finance teams. This shows that you’re not just a tech whiz but also understand the bigger picture.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current analytics challenges, team structure, or future projects. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Plus, it gives you a chance to demonstrate your analytical thinking right off the bat.