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For Companies At a Glance
- Tasks: Lead and mentor analytics teams to deliver impactful data solutions.
- Company: Join a tech-driven company transforming customer experiences globally.
- Benefits: Competitive salary, performance bonuses, generous pension, and 25 days holiday.
- Why this job: Shape the future of data-driven decision-making in a dynamic environment.
- Qualifications: Proven leadership in analytics engineering and a passion for innovation.
- Other info: Opportunity for career growth and a collaborative culture.
The predicted salary is between 36000 - 60000 £ per year.
Overview D&G is transforming into a technology-powered product business serving customers around the world. Our products and services rely heavily on compelling digital experiences for our B2B and B2C clients and customers. A key part of this transformation is evolving our data capabilities to enable fast-paced, data-driven decision-making across the business. We’re looking for a Head of Analytics Engineering to help drive this shift—ensuring our data systems are designed not just for access, but for usability and impact. You’ll play a central role in making data intuitive and actionable for both technical and non-technical stakeholders.
Responsibilities
- Lead and Develop Analytics Engineering Teams: Oversee and mentor a high-performing team, fostering a culture of collaboration, innovation, and accountability. Support the career growth and development of team members, ensuring alignment with individual and business goals.
- Deliver Scalable and Reliable Solutions: Ensure teams deliver high-quality, scalable, and reliable data products that meet business and customer needs, on time and within scope. Ensure they are solutions that align with our data science strategy as well as enabling our MI / BI / AI strategy.
- Drive Continuous Improvement: Implement and promote best practices in development, agile methodologies, and best practice engineering, continuously seeking opportunities to improve team performance, productivity, and data quality.
- Technical Strategy and Direction: Provide strategic technical guidance and decision-making for teams, ensuring the architecture and technical decisions align with business goals and long-term sustainability.
- Manage Team Effectiveness: Leverage metrics and feedback to monitor and improve team performance, ensuring efficient workflows, effective collaboration, and high team morale.
What You’ll Get For This Role
At Domestic & General, we offer so much more than a job – we provide opportunities, support, and benefits that make being part of D&G truly rewarding.
- Competitive salary
- Annual discretionary bonus amount depends on your performance and D&G's
- Generous pension scheme – any contributions you, D&G will match up to 7.5%
- 25 days holiday plus
Head of Analytics Engineering in London employer: Domestic & General
Contact Detail:
Domestic & General Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytics Engineering in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their data strategy and think about how your skills can contribute to their goals. This will help you stand out as someone who’s genuinely interested in the role.
✨Tip Number 3
Showcase your projects! Whether it’s through a portfolio or a personal website, highlight your past work in analytics engineering. This gives you a chance to demonstrate your skills and creativity beyond just a CV.
✨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 to engage with us directly.
We think you need these skills to ace Head of Analytics Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Analytics Engineering. Highlight your experience in leading teams and delivering scalable data solutions, as well as any relevant technical skills that align with our needs.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your passion for data-driven decision-making and how you can drive continuous improvement within our teams. Be sure to mention specific examples from your past experiences.
Showcase Your Leadership Style: We want to know how you lead and develop high-performing teams. Share your approach to mentoring and fostering collaboration, and how you've supported team members' growth in previous roles.
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 at Domestic & General.
How to prepare for a job interview at Domestic & General
✨Know Your Data Inside Out
As a Head of Analytics Engineering, you’ll need to demonstrate a deep understanding of data systems and analytics. Brush up on the latest trends in data engineering and be ready to discuss how you can make data intuitive for both technical and non-technical stakeholders.
✨Showcase Leadership Skills
Prepare examples that highlight your experience in leading and developing high-performing teams. Think about how you've fostered collaboration and innovation in past roles, and be ready to share specific instances where you supported team members' growth.
✨Emphasise Continuous Improvement
Be prepared to discuss how you’ve implemented best practices in development and agile methodologies. Share examples of how you’ve driven continuous improvement in team performance and data quality, as this will resonate well with their focus on scalability and reliability.
✨Align with Business Goals
Understand the company’s mission and how your role fits into their transformation into a technology-powered business. Be ready to articulate how your technical strategy and decision-making can align with their long-term sustainability and business objectives.
