At a Glance
- Tasks: Lead a team of engineers 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 High Wycombe employer: Scalers
Join an innovative SaaS FinTech organisation that champions a collaborative and dynamic work culture, where your contributions as the Head of Analytics Engineering will directly influence data-driven decision-making across various business units. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to lead a high-performing team in a remote setting, allowing for flexibility and work-life balance. This role not only offers competitive benefits but also positions you at the forefront of solving payment complexities in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Analytics in High Wycombe
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their products and how they use analytics. This will help you tailor your answers and show that you're genuinely interested in the role.
✨Tip Number 3
Practice your communication skills! As a Head of Analytics, you'll need to convey complex ideas clearly. Try explaining your past projects to friends or family to refine your storytelling abilities.
✨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 the initiative to engage directly with us.
We think you need these skills to ace Head of Analytics in High Wycombe
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 enabled data-driven decisions and aligned analytics solutions with business objectives.
Communicate Clearly:As an exceptional communicator, your application should reflect that. Use clear and concise language to convey your experience and how it relates to the role. Remember, we value strong stakeholder management skills!
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 this exciting opportunity in our innovative SaaS FinTech organisation.
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 high-performing teams. Think about specific challenges you've faced and how you drove alignment and measurable outcomes within your team.
✨Communicate Clearly
As an exceptional communicator, you’ll need to demonstrate your ability to convey complex insights simply. Practice explaining technical concepts in layman's terms, as this will be crucial when discussing analytics with non-technical stakeholders.
✨Align with Business Objectives
Research the company’s business objectives and think about how your analytics strategy can support them. Be prepared to discuss how you would translate complex requirements into actionable data solutions that align with their goals.
