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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 in Maidstone employer: Scalers
Contact Detail:
Scalers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics in Maidstone
✨Tip Number 1
Network like a pro! Reach out to connections in the FinTech and SaaS space, especially those who might know about opportunities at companies like ScalersHQ. A personal introduction can make all the difference.
✨Tip Number 2
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've driven analytics strategies in the past and how you can align them with business objectives.
✨Tip Number 3
Showcase your communication skills! Practice explaining complex data solutions in simple terms. This will help you demonstrate your ability to translate technical jargon into actionable insights for stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the team and ready to take on the challenge.
We think you need these skills to ace Head of Analytics in Maidstone
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Head of Analytics role. 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 writing your application, focus on how you've driven measurable outcomes in previous roles. We want to see how you've made a difference and how you can do the same for us!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your experience and achievements quickly.
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 directly.
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 scaling high-performing teams. Think about specific challenges you faced and how you guided your team to success, as this will resonate with their need for a strategic leader.
✨Communicate Clearly
As an exceptional communicator, practice articulating complex analytics concepts in simple terms. You’ll likely need to explain insights to non-technical stakeholders, so demonstrate your ability to bridge that gap during the interview.
✨Align with Business Objectives
Research the company’s business objectives and think about how your analytics strategies can align with them. Be prepared to discuss how you can enable data-driven decisions across various teams, showcasing your understanding of their needs.