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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 Bristol employer: Scalers
Contact Detail:
Scalers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨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
Showcase your skills through projects or case studies. If you've worked on relevant analytics projects, be ready to discuss them in detail. This demonstrates your hands-on experience and problem-solving abilities.
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace Head of Analytics in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Head of Analytics role. Highlight your experience in leading analytics teams and any relevant technical skills, like DBT or Snowflake, that align with what we're looking for.
Showcase Your Leadership Skills: We want to see how you've led teams and driven strategic outcomes in your previous roles. Use specific examples to demonstrate your ability to manage senior stakeholders and deliver measurable results.
Communicate Clearly: As an exceptional communicator, your application should reflect that. Be clear and concise in your writing, making it easy for us to understand your experience and how it aligns with our business objectives.
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 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 significant stakeholder management, practice articulating complex data insights clearly and concisely. Think about how you can translate technical jargon into business-friendly language that resonates with different teams.
✨Align with Business Objectives
Familiarise yourself with the company’s goals and how analytics can support them. Be prepared to discuss how you would ensure that analytics solutions align with both business objectives and technical capabilities.