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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 Doncaster employer: Scalers
Contact Detail:
Scalers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics in Doncaster
✨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 experience 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 shows you're not just about the numbers but also about the bigger picture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Head of Analytics in Doncaster
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 with 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 Inside Out
Make sure you’re well-versed in modern analytics engineering tools like DBT, Snowflake, and Fivetran. Brush up on how these technologies can drive data solutions and be ready to discuss your experience with them in detail.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams of engineers in the past. Highlight your ability to set direction and drive measurable outcomes, as this role requires strong leadership and strategic vision.
✨Communicate Like a Pro
Since this position involves working closely with various business units, practice articulating complex data insights in a clear and impactful way. Think about how you can demonstrate your exceptional communication skills during the interview.
✨Align with Business Objectives
Research the company’s goals and think about how your analytics strategies can align with their business objectives. Be prepared to discuss how you can enable data-driven decisions across different teams, showcasing your understanding of their needs.