Head of Analytics in Bradford

Head of Analytics in Bradford

Bradford Full-Time 80000 - 100000 £ / year (est.) Home office possible
Scalers

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 Bradford employer: Scalers

Join a forward-thinking SaaS FinTech organisation that champions innovation and collaboration, offering a dynamic remote work environment across the UK and Europe. As the Head of Analytics Engineering, you will lead a talented team while enjoying a culture that prioritises employee growth, strategic impact, and data-driven decision-making. With a commitment to professional development and a focus on meaningful contributions, this role provides an exceptional opportunity to shape the future of analytics in a rapidly evolving industry.
Scalers

Contact Detail:

Scalers Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Analytics in Bradford

✨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 the interview! Research the company’s analytics strategy and think about how your vision aligns with theirs. Bring ideas to the table that demonstrate your understanding of their business objectives.

✨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 Bradford

Leadership
Technical Vision and Strategy
Team Management
Stakeholder Management
Analytics Engineering
DBT
Snowflake
Fivetran
Data Solutions Development
Communication Skills
Semantic Layers Knowledge
AI Tooling Understanding
Data-Driven Decision Making

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 Impact: When writing your application, focus on the impact you've made in previous roles. Use specific examples that demonstrate how you've driven data-driven decisions and aligned analytics solutions with business objectives. This will help us see your potential!

Be Clear and Concise: Keep your application clear and to the point. Avoid jargon unless it's necessary, and make sure your key achievements stand out. We appreciate straightforward communication, so let’s keep it simple!

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. We can’t wait to hear from you!

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 Leadership Experience

Prepare examples that highlight your leadership skills, especially in scaling high-performing teams. Think about specific challenges you faced and how you guided your team to success, as this will resonate with their need for a strategic leader.

✨Communicate Clearly

Since the role involves communicating insights across various teams, practice explaining complex data concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.

✨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 strategies with these goals, showing that you understand the bigger picture.

Head of Analytics in Bradford
Scalers
Location: Bradford

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