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- Tasks: Lead data initiatives, ensuring quality and driving insights for smarter business decisions.
- Company: Join a dynamic tech team focused on innovation and data-driven success.
- Benefits: Enjoy a competitive salary, flexible working, and ongoing career development.
- Why this job: Shape a high-performing team and work with cutting-edge technologies to make a real impact.
- Qualifications: Proven leadership in data teams and strong technical expertise in SQL and cloud platforms.
- Other info: Opportunity to grow in a collaborative environment with exposure to emerging technologies.
The predicted salary is between 58800 - 63000 £ per year.
Analytics Manager
Salary: £70,000 – £75,000
Location: Bedford – 2 days per month
We are currently looking for a Analytics Manager to join our client’s fast-paced and collaborative tech team. Reporting directly into the CTO, this role is central to ensuring their data is accurate, secure, and used to its full potential. As the Data Lead, you will shape and evolve their data infrastructure, generate actionable insights, and partner across the business to drive smarter decisions. This role is integral to the success of the company, turning data into trusted insights that empower confident decisions and create real impact.
The Opportunity
As Data Analytics Lead, you’ll be at the heart of the mission to deliver a single source of truth for the business. You’ll work with stakeholders across multiple functions, identifying opportunities where data can deliver competitive advantage, and leveraging the latest technologies to keep at the forefront of innovation. You will also be a keen people manager and show a desire to grow and nuture a data team.
Key responsibilities
- Safeguard and optimise data quality, accuracy, and availability across the business.
- Develop and maintain data infrastructure to ensure scalability and efficiency.
- Translate complex data into meaningful insights for stakeholders.
- Partner with business leaders to deliver data-driven recommendations.
- Lead and coach a talented team of engineers, analysts, and BI specialists, fostering a culture of curiosity and growth.
- Champion emerging technologies to continually improve performance and efficiency.
What’s in it for you?
- Competitive salary
- Flexible hybrid working
- Private pension scheme
- Ongoing training and career development opportunities
- Opportunity to lead and shape a high-performing team
- Exposure to emerging technologies and real-time data projects
Skills and Experience
- Proven leadership in data-focused teams (data engineering, BI, analytics).
- Strong experience in data strategy, governance, and quality initiatives.
- Technical expertise in SQL and non-SQL systems, database architecture, and data lake/warehouse design.
- Experience with cloud platforms (Azure DevOps preferred).
- Excellent communication skills with ability to bridge technical and business teams.
- Strong knowledge of data security, privacy, and compliance.
Nice to have:
- Degree in Computer Science or related field.
- Background in Agile project management.
- Experience applying AI to data platforms (e.g., document intelligence, behavioural modelling).
If you would like to be considered for the Data Lead role and feel you would be an ideal fit, please send your CV by clicking the Apply button below.
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Analytics Manager employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager
✨Tip Number 1
Network with professionals in the data analytics field, especially those who have experience in leadership roles. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences at companies similar to ours.
✨Tip Number 2
Familiarise yourself with the latest technologies and tools used in data analytics, particularly those related to SQL, cloud platforms like Azure, and data governance. This knowledge will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss your leadership style and how you’ve successfully managed data teams in the past. Think of specific examples where you fostered a culture of growth and curiosity, as this aligns with our values at StudySmarter.
✨Tip Number 4
Research our company’s mission and recent projects to understand how we leverage data for decision-making. Being able to articulate how your skills can contribute to our goals will set you apart during discussions with our team.
We think you need these skills to ace Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your leadership experience in data-focused teams, as well as your technical expertise in SQL and cloud platforms. Use specific examples that demonstrate your ability to translate complex data into actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how you can contribute to the company's mission. Mention your experience with data strategy and governance, and how you can help safeguard and optimise data quality.
Showcase Relevant Skills: Emphasise your skills in data security, privacy, and compliance, as these are crucial for the role. If you have experience with emerging technologies or AI applications in data platforms, be sure to include that as well.
Highlight Team Management Experience: Since the role involves leading and coaching a team, make sure to highlight any previous experience you have in managing teams. Discuss your approach to fostering a culture of curiosity and growth within your team.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Leadership Skills
As an Analytics Manager, you'll be leading a team. Be prepared to discuss your leadership style and provide examples of how you've successfully managed data-focused teams in the past.
✨Demonstrate Technical Expertise
Familiarise yourself with SQL, non-SQL systems, and cloud platforms like Azure DevOps. Be ready to discuss specific projects where you applied these technologies to solve data challenges.
✨Communicate Clearly
You’ll need to bridge the gap between technical and business teams. Practice explaining complex data concepts in simple terms, as this will be crucial during your interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you identified opportunities for data-driven decisions and how you implemented them to create impact.