Data & Insight Manager
Data & Insight Manager

Data & Insight Manager

Full-Time 60000 - 80000 £ / year (est.) No home office possible
Eeze

At a Glance

  • Tasks: Lead data initiatives and transform business needs into actionable insights.
  • Company: Eeze, a pioneering tech company in online gaming since 1999.
  • Benefits: 26 days holiday, flexible hours, health insurance, and personal growth opportunities.
  • Other info: Inclusive culture where your ideas are valued and career growth is supported.
  • Why this job: Join a dynamic team and make a real impact in the evolving gaming industry.
  • Qualifications: 5-10 years in data roles with leadership experience and strong stakeholder management skills.

The predicted salary is between 60000 - 80000 £ per year.

Eeze is a Malta-based, technology-driven company that has been developing world-leading online gaming platforms and solutions since 1999. Underpinned by a history that directly interconnects with the rise of online gambling, the company has been a key pioneer within the international market. Over the years, Eeze has amassed a world-class team of gambling specialists who remain at the frontiers of innovation within this ever-evolving industry. With a focus on being an international B2B Live Casino provider with our Eeze brand.

Role Purpose

The Data & Insights Manager is responsible for building and operating a data product capability that enables scalable, reliable, and actionable insights across the organisation. This role goes beyond traditional reporting and is accountable for bridging business needs with data platform capabilities, ensuring that data is structured, governed, and delivered as reusable products.

Key Responsibilities

  • Data Product Ownership & Roadmap
    • Define and own the data product roadmap
    • Translate business needs into scalable data solutions
    • Prioritise initiatives across BI, engineering, and architecture
    • Ensure delivery is aligned to measurable business outcomes
    • Lead and develop a cross-functional data team (Analysts, Engineers, Architect, Scientist)
    • Establish and enforce a Data-as-a-Product operating model
    • Drive clarity of roles, responsibilities, and ways of working
  • Stakeholder Management
    • Act as primary interface between data and business stakeholders
    • Align Commercial, Product, Finance, Risk, Operations and Technology on data priorities
    • Drive adoption of data products and insights
  • Data Governance & Quality
    • Define and enforce data ownership and accountability
    • Ensure consistency of key business metrics
    • Establish data quality and trust frameworks
  • Delivery & Execution
    • Own prioritisation and backlog management
    • Ensure timely and high-quality delivery of data products
    • Balance short-term reporting needs with long-term platform investments

Required Skills & Experience

  • 5–10+ years experience in data, analytics, or data product roles, with at least 3+ years in a leadership or management capacity
  • Proven experience owning end-to-end delivery of data initiatives, from requirements through to adoption
  • Experience managing or leading cross-functional data teams (e.g. analysts, engineers)
  • Strong data product mindset, with experience delivering scalable, reusable data solutions (not just reports or dashboards)
  • Solid understanding of data warehousing / lakehouse concepts
  • Experience working closely with Data Engineering and Architecture teams
  • Strong stakeholder management skills, with the ability to influence across business and technology teams
  • Ability to translate complex data into clear, actionable business insights
  • Proven ability to prioritise and balance short-term delivery vs long-term platform investment
  • Comfortable operating in fast-paced, evolving environments with ambiguity

Nice to Have

  • Experience building or operating in a Data-as-a-Product environment
  • Experience in iGaming, fintech, or other transactional platforms
  • Familiarity with modern data stack tools (e.g. Snowflake, BigQuery, dbt, Airflow)
  • Experience with API-driven or event-based systems
  • Exposure to real-time or near real-time data processing
  • Experience supporting or enabling AI/ML initiatives
  • Background in both technical and business-facing roles

Success Metrics

  • Adoption and usage of data products
  • Improved speed and quality of decision-making
  • Data consistency and trust across the organisation
  • Delivery against roadmap and business impact

What’s in it for you?

  • Experience a dynamic and team-orientated work environment
  • Opportunities for personal growth and learning
  • An open, inclusive and supportive team where you will be valued, and your suggestions will be welcome
  • 26 days paid holiday per year (in addition to local public holidays)
  • Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance
  • Flexible core hours between 10am – 4pm
  • Receive support whenever you need it with our Employee Assistance Program, available 24/7
  • Local discounts and more…

Our team is committed to keeping remuneration and benefits under constant review to make sure what we offer stays relevant.

Data & Insight Manager employer: Eeze

Eeze is an exceptional employer, offering a dynamic and team-oriented work environment in Malta's thriving online gaming industry. With a strong focus on personal growth and learning, employees benefit from a supportive culture that values their contributions, alongside generous perks such as 26 days of paid holiday, flexible working hours, and comprehensive risk benefits. Join us to be part of a pioneering team where your insights will drive innovation and impact across the organisation.
Eeze

Contact Detail:

Eeze Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data & Insight Manager

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Eeze. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your data product experience. This is your chance to demonstrate how you can bridge business needs with data solutions.

✨Tip Number 3

Be ready for the interview! Research Eeze and come armed with insights about their data products. Show them you understand their goals and how you can help achieve them.

✨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 joining the team.

We think you need these skills to ace Data & Insight Manager

Data Product Ownership
Stakeholder Management
Data Governance
Data Quality Assurance
Cross-Functional Team Leadership
Data Warehousing Concepts
Data Engineering Collaboration
Data Analysis
Business Insight Translation
Prioritisation Skills
Agility in Fast-Paced Environments
Experience with Data-as-a-Product
Familiarity with Modern Data Stack Tools
API-Driven Systems Knowledge
Real-Time Data Processing Exposure

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the Data & Insight Manager role. Highlight your experience in data product ownership and any leadership roles you've had. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our team at Eeze. Be sure to mention any relevant experience in the iGaming or fintech sectors.

Showcase Your Data Mindset: In your application, emphasise your strong data product mindset. Share examples of how you've delivered scalable, reusable data solutions in the past. We love seeing candidates who can bridge the gap between business needs and data capabilities!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Eeze

✨Know Your Data Inside Out

Make sure you have a solid understanding of data warehousing and lakehouse concepts. Be prepared to discuss how you've previously translated complex data into actionable insights, as this will show your ability to bridge the gap between business needs and data capabilities.

✨Showcase Your Leadership Skills

Since the role involves leading a cross-functional data team, be ready to share examples of how you've successfully managed teams in the past. Highlight your experience in prioritising initiatives and ensuring alignment across different departments, as this is crucial for the Data & Insight Manager position.

✨Demonstrate Stakeholder Management Expertise

Prepare to discuss how you've acted as a primary interface between data and business stakeholders. Share specific instances where you've influenced decisions across various teams, as strong stakeholder management skills are key to driving adoption of data products.

✨Balance Short-Term and Long-Term Goals

Be ready to talk about how you've balanced immediate reporting needs with long-term platform investments in previous roles. This will demonstrate your strategic thinking and ability to deliver high-quality data products that align with measurable business outcomes.

Data & Insight Manager
Eeze

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