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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 Slough employer: Scalers
Contact Detail:
Scalers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech and SaaS space, especially those who work in analytics. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience in leading analytics teams and delivering impactful data solutions. This will set you apart from the crowd.
✨Tip Number 3
Be ready for interviews! Brush up on your communication skills and be prepared to discuss how you've aligned analytics with business objectives in previous roles. We want to see your strategic thinking in action!
✨Tip Number 4
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 connect directly with us.
We think you need these skills to ace Head of Analytics in Slough
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, especially in analytics engineering. We want to see how your background aligns with our needs!
Showcase Your Communication Skills: Since this role involves a lot of stakeholder management, don’t forget to showcase your exceptional communication skills. Use examples that demonstrate how you've effectively communicated complex data insights in the past.
Highlight Your Technical Expertise: Be sure to mention your experience with modern analytics tools like DBT, Snowflake, and Fivetran. We’re looking for someone who can provide strong technical oversight, so let us know how you’ve done this in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get in touch with you quickly!
How to prepare for a job interview at Scalers
✨Know Your Analytics Inside Out
Make sure you’re well-versed in the latest 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 setting direction and driving measurable outcomes, as this role requires strong leadership and strategic vision.
✨Communicate Clearly and Effectively
Practice articulating complex data solutions in a way that’s easy to understand. Since this role involves working closely with various business units, being an exceptional communicator is key to ensuring everyone is on the same page.
✨Align with Business Objectives
Research the company’s goals and think about how your analytics strategies can support them. Be prepared to discuss how you can translate complex requirements into actionable insights that drive data-driven decisions across different teams.