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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 Liverpool employer: Scalers
Contact Detail:
Scalers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics in Liverpool
✨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 the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your experience effectively.
✨Tip Number 3
Showcase your passion for data! During interviews, share examples of how you've used analytics to drive decisions or solve problems. This will demonstrate your alignment with the company's focus on data-driven insights.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s a great chance to reiterate why you’re the perfect fit for their team.
We think you need these skills to ace Head of Analytics in Liverpool
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 partner's 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 from your past experiences where you’ve effectively communicated complex data insights to non-technical teams.
Highlight Your Technical Expertise: Be sure to mention your experience with modern analytics tools like DBT, Snowflake, or Fivetran. We’re looking for someone who can provide strong technical oversight, so make it clear 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 keep track of your application and ensure it gets the attention it deserves!
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 Your Leadership Skills
Prepare examples that highlight your experience in leading high-performing teams. Think about specific challenges you faced and how you drove alignment and measurable outcomes across different business units.
✨Communicate Clearly
As an exceptional communicator, you’ll need to demonstrate your ability to convey complex insights simply. Practice explaining technical concepts in a way that non-technical stakeholders can understand, as this will be crucial in your role.
✨Align with Business Objectives
Research the company’s business objectives and think about how analytics can support them. Be prepared to discuss how you would align analytics solutions with these goals, showcasing your strategic thinking and understanding of the business landscape.