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For Companies At a Glance
- Tasks: Lead a team to create impactful data solutions for various business units.
- Company: Innovative SaaS FinTech organisation with a growing presence in the UK and Europe.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a high-performing team and drive data-driven decisions across the organisation.
- Why this job: Shape the future of analytics in a dynamic and fast-paced environment.
- Qualifications: Proven leadership in analytics engineering and strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
ScalersHQ are proud to be partnering with an innovative SaaS FinTech organisation who have a growing presence across the UK & Europe. Our partner works across SaaS payments where they help solve and manage payment complexity.
The Role:
We are looking for a Head of Analytics Engineering to lead a team of Engineers and work closely with key business units to help translate complex requirements into actionable data solutions. The Head of Analytics Engineering will play a key role in communicating insights with a focus on impact and enabling data-driven decisions across Sales, Marketing, Finance, Product and Engineering teams to align analytics solutions in line with business objectives and technical capabilities.
Responsibilities & Experience:
- Leadership & Strategy: Defining and owning the technical vision and strategy for Analytics & Engineering ensuring alignment with our partners business objectives.
- Show strategic ownership, set direction and drive alignment and measurable outcomes across group level.
- Extensive experience leading teams of senior engineers, with a track record of scaling high-performing analytics engineering teams.
- Exceptional communicator with proven senior stakeholder management skills.
- Strong experience with modern analytics engineering (DBT, Snowflake, Fivetran or equivalent) and can provide strong technical oversight without being hands-on day-to-day.
- Working knowledge of semantic layers and understand how they underpin reliable, consistent data access, including enabling AI tooling.
If the above is of interest, please apply with an updated copy of your CV and a member of the Scalers team will be in touch.
Head of Analytics in Crawley employer: Scalers
Contact Detail:
Scalers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics in Crawley
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to analytics engineering. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your experience effectively.
✨Tip Number 3
Showcase your passion for data! During interviews, share examples of how you've used data to drive decisions or solve problems. This will demonstrate your alignment with the company's focus on data-driven insights.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s a great chance to reiterate why you’re the perfect fit for their team.
We think you need these skills to ace Head of Analytics in Crawley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Head of Analytics role. Highlight your experience in leading analytics teams and any relevant technical skills like DBT or Snowflake. We want to see how your background aligns with our needs!
Showcase Your Leadership Skills: In your application, emphasise your leadership experience. Talk about how you've driven alignment and measurable outcomes in previous roles. We’re looking for someone who can inspire and lead a team effectively.
Communicate Clearly: Since this role involves communicating insights across various teams, make sure your application reflects your communication skills. Use clear and concise language to demonstrate how you can translate complex data into actionable insights.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Scalers
✨Know Your Analytics Tools
Make sure you’re well-versed in the tools mentioned in the job description, like DBT, Snowflake, and Fivetran. Be ready to discuss how you've used these tools in past projects and how they can drive data solutions for the company.
✨Showcase Leadership Experience
Prepare examples that highlight your leadership skills, especially in managing senior engineers. Think about specific instances where you set direction and achieved measurable outcomes, as this will resonate with their need for strategic ownership.
✨Communicate Clearly
Since exceptional communication is key for this role, practice articulating complex ideas simply. You might be asked to explain technical concepts to non-technical stakeholders, so being clear and concise will show you can bridge that gap effectively.
✨Align with Business Objectives
Research the company’s business objectives and think about how analytics can support them. Be prepared to discuss how you would align analytics solutions with these goals, demonstrating your understanding of the broader business context.