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 measurable outcomes 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 Milton Keynes 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 Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their products and how they fit into the market. We want you to walk in feeling confident and ready to discuss how your skills align with their goals.
✨Tip Number 3
Showcase your expertise! Bring examples of your past work or projects that demonstrate your leadership and technical skills. We believe that tangible evidence of your capabilities can really set you apart from the competition.
✨Tip Number 4
Don’t forget to follow up after interviews! A simple thank-you email can go a long way in keeping you top of mind. We recommend expressing your enthusiasm for the role and reiterating how you can contribute to their success.
We think you need these skills to ace Head of Analytics in Milton Keynes
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, or Fivetran. We want to see how you can align analytics solutions with business objectives!
Showcase Your Communication Skills:Since this role involves a lot of stakeholder management, don’t forget to showcase your exceptional communication skills in your application. Use examples that demonstrate how you've effectively communicated insights and driven data-driven decisions in previous roles.
Highlight Your Strategic Vision:We’re looking for someone who can define and own the technical vision for analytics. In your application, share your thoughts on how you would approach this and any past experiences where you’ve successfully set direction and achieved measurable outcomes.
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 it gets into the right hands. We’re excited to hear from you and see how you can contribute to our innovative team!
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 convey complex ideas simply. Practice explaining your past projects and insights in a way that’s easy to understand, focusing on the impact of your work on business objectives.
✨Understand Business Objectives
Research the company’s goals and how analytics can support them. Be prepared to discuss how you would align analytics solutions with their business objectives and technical capabilities, showing that you can think strategically.
