Analytics Manager

Data Science Festival

Bedford

Hybrid

GBP 60,000 - 80,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Flexible hybrid working
Private pension scheme
Ongoing training and career development opportunities

Job summary

Data Science Festival is currently seeking an Analytics Manager to join their innovative tech team in Bedford. In this pivotal role, you will ensure data accuracy and security while leading a talented team of data professionals. You'll collaborate across the business to transform data into insightful recommendations that drive smarter decisions.

The ideal candidate will have a strong background in data strategy and governance, technical expertise in SQL, and proven leadership within data-focused teams, all while fostering a culture of curiosity and growth.

Qualifications

  • Proven leadership in data-focused teams, including data engineering and analytics.
  • Strong experience in data strategy, governance, and quality initiatives.
  • Excellent communication skills with ability to link technical and business needs.

Responsibilities

  • Safeguard and optimise data quality and availability across the business.
  • Develop and maintain scalable data infrastructure.
  • Translate complex data into meaningful insights for stakeholders.
  • Lead and coach a talented team fostering a culture of growth.

Skills

Data strategy
Data governance
Technical expertise in SQL
Data architecture
Team leadership
Communication skills
Data security

Education

Degree in Computer Science or related field

Tools

Azure DevOps

Job description

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 nurture 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.
Benefits
  • 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).
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