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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 Luton employer: Scalers
Contact Detail:
Scalers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics in Luton
✨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 the interview by researching the company’s recent projects and challenges. This shows you're genuinely interested and ready to contribute to their goals right from the start.
✨Tip Number 3
Showcase your leadership skills during interviews. Share specific examples of how you've led teams to success, especially in analytics engineering. We want to see how you can drive results!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Head of Analytics in Luton
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, like DBT or Snowflake, that align with what we're looking for.
Showcase Your Impact: When detailing your past roles, focus on the impact you've made. Use metrics and examples to illustrate how you've driven data-driven decisions and aligned analytics solutions with business objectives.
Communicate Clearly: As an exceptional communicator, your written application should reflect that. Keep your language clear and concise, making it easy for us to see your qualifications and how you can lead our analytics team.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. This way, we can ensure your application gets the attention it deserves and you can easily keep track of your application status.
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 engineers. Highlight your experience in scaling high-performing teams and how you’ve driven measurable outcomes in previous positions.
✨Communicate Clearly and Effectively
Practice articulating complex data solutions in a way that’s easy to understand. You’ll need to demonstrate your ability to communicate insights to various stakeholders, so think of examples where you’ve done this successfully.
✨Align with Business Objectives
Research the company’s business goals and think about how your analytics strategy can support them. Be prepared to discuss how you would define and own the technical vision for analytics engineering in line with their objectives.