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- 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 employer: Scalers
Contact Detail:
Scalers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics
✨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 real-world examples from your past experiences to showcase your skills and how they align with the role.
✨Tip Number 3
Showcase your passion for data! During interviews, share your thoughts on current trends in analytics and how they could impact the business. This will demonstrate your enthusiasm and strategic thinking.
✨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 genuine interest in the position. Plus, it’s a great chance to reiterate why you’re the perfect fit!
We think you need these skills to ace Head of Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Analytics Engineering. Highlight your leadership experience and any relevant technical skills, especially with tools like DBT, Snowflake, and Fivetran. We want to see how you can drive analytics solutions that align with business objectives!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've led teams and delivered impactful data solutions in the past. Remember, we love a good story that showcases your skills!
Showcase Your Communication Skills: As a Head of Analytics Engineering, you'll need to communicate complex insights clearly. In your application, demonstrate your ability to convey technical information in an understandable way. We’re looking for someone who can bridge the gap between tech and business!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. Plus, it’s super easy – just upload your CV and cover letter, and you’re good to go!
How to prepare for a job interview at Scalers
✨Know Your Analytics Inside Out
Make sure you’re well-versed in modern analytics engineering tools like DBT, Snowflake, and Fivetran. Be ready to discuss how you've used these technologies in past roles and how they can align with the company's objectives.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams of senior engineers. Highlight your experience in setting direction and driving measurable outcomes, as this role requires strong leadership and strategic vision.
✨Communicate Clearly and Effectively
Practice articulating complex data solutions in a way that’s easy to understand. Since the role involves communicating insights across various business units, being an exceptional communicator is key.
✨Align with Business Objectives
Research the company’s business goals and think about how your analytics strategies can support them. Be prepared to discuss how you can enable data-driven decisions that align with their objectives.