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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 company.
- 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 Chester employer: Scalers
Contact Detail:
Scalers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics in Chester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in analytics or FinTech. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Showcase your skills! Create a portfolio or a case study that highlights your past projects and achievements in analytics engineering. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics engineering challenges and solutions. Be ready to discuss how you've tackled similar issues in the past and how you can align with the company's objectives.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Head of Analytics in Chester
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, like DBT or Snowflake, that align with what we're looking for.
Showcase Your Impact: When detailing your past roles, focus on the impact you've made. Use metrics and examples to illustrate how you've driven data-driven decisions and aligned analytics solutions with business objectives.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary to showcase your expertise in analytics engineering.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. This way, we can ensure your application gets the attention it deserves and you can easily keep track of your progress!
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. Brush up on how these tools can be leveraged to drive data solutions and be ready to discuss your experience with them.
✨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 their impact on business objectives, focusing on how you translated requirements into actionable insights.
✨Understand Business Objectives
Familiarise yourself with the company’s goals and how analytics can support them. Be ready to discuss how you would align analytics solutions with business strategies across different departments like Sales, Marketing, and Finance.