Head of Analytics Engineering (Remote) — Data as Product
Head of Analytics Engineering (Remote) — Data as Product

Head of Analytics Engineering (Remote) — Data as Product

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

At a Glance

  • Tasks: Lead a team to create actionable data solutions and define the technical vision.
  • Company: Paddle, a transparent and collaborative tech company.
  • Benefits: Unlimited holidays, personal development opportunities, and a supportive work culture.
  • Other info: Remote position with excellent career growth potential.
  • Why this job: Shape the future of data products and make a real impact in a dynamic environment.
  • Qualifications: Significant experience in analytics engineering and strong stakeholder management skills.

The predicted salary is between 80000 - 100000 £ per year.

Paddle is seeking an Analytics Engineering Manager to lead a team that develops actionable data solutions. The role involves defining the technical vision, overseeing data governance, and fostering relationships with various business units.

Ideal candidates will have significant experience in analytics engineering, a strong product mindset for data, and excellent stakeholder management skills.

Paddle offers a transparent, collaborative culture with unlimited holidays and a commitment to personal development.

Head of Analytics Engineering (Remote) — Data as Product employer: Paddle

Paddle is an exceptional employer that champions a transparent and collaborative work culture, offering unlimited holidays and a strong commitment to personal development. As the Head of Analytics Engineering, you will have the opportunity to lead a dynamic team in a remote setting, driving innovative data solutions while fostering meaningful relationships across various business units. With a focus on employee growth and a supportive environment, Paddle stands out as a rewarding place for professionals seeking to make a significant impact in the analytics field.
Paddle

Contact Detail:

Paddle Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Analytics Engineering (Remote) — Data as Product

Tip Number 1

Network like a pro! Reach out to people in the analytics engineering field, especially those at Paddle. A friendly chat can open doors and give you insights that might just set you apart from other candidates.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies showcasing your previous work in analytics engineering. This is your chance to demonstrate your product mindset and how you've tackled data challenges in the past.

Tip Number 3

Be ready for the interview! Research Paddle’s culture and values, and think about how your experience aligns with their commitment to personal development and collaboration. Tailor your answers to reflect their ethos.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Paddle team.

We think you need these skills to ace Head of Analytics Engineering (Remote) — Data as Product

Analytics Engineering
Data Governance
Technical Vision Definition
Stakeholder Management
Product Mindset for Data
Team Leadership
Collaboration Skills
Actionable Data Solutions

Some tips for your application 🫡

Show Your Passion for Data: When writing your application, let your enthusiasm for analytics and data solutions shine through. We want to see how your experience aligns with our mission at Paddle, so don’t hold back on sharing your journey in the field!

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant skills and experiences that match the job description. We love seeing candidates who take the time to connect their background with what we’re looking for in a Head of Analytics Engineering.

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your achievements and how they relate to the role. Remember, less is often more!

Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Paddle

Know Your Data Inside Out

Make sure you’re well-versed in analytics engineering concepts and the latest data solutions. Brush up on your technical knowledge and be ready to discuss how you've applied it in previous roles, especially in developing actionable data products.

Showcase Your Stakeholder Management Skills

Prepare examples of how you've successfully collaborated with different business units. Highlight your ability to communicate complex data insights in a way that resonates with non-technical stakeholders, as this will be crucial for the role.

Define Your Technical Vision

Think about what your vision for analytics engineering looks like. Be ready to articulate how you would approach defining and implementing this vision at Paddle, ensuring it aligns with their collaborative culture and commitment to personal development.

Embrace the Culture

Familiarise yourself with Paddle's values and culture. During the interview, express how you align with their transparent and collaborative environment. Share your thoughts on how unlimited holidays can contribute to a healthy work-life balance and enhance productivity.

Head of Analytics Engineering (Remote) — Data as Product
Paddle

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>