At a Glance
- Tasks: Lead a data team to create impactful insights and scalable data solutions.
- Company: Eeze, a pioneering tech company in online gaming since 1999.
- Benefits: 26 days holiday, competitive salary, hybrid work, and personal growth opportunities.
- Other info: Enjoy a supportive environment with flexible hours and team-building activities.
- Why this job: Join a dynamic team and shape the future of data in the gaming industry.
- Qualifications: 5-10 years in data roles with leadership experience and strong stakeholder management skills.
The predicted salary is between 60000 - 80000 ÂŁ 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.
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
- Team Leadership & Operating Model
- 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 pipelines (ETL/ELT concepts)
- Solid understanding of data modelling (e.g. fact/dimension, semantic layers)
- 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. This is in addition to local public holidays.
- Competitive salary.
- Hybrid Working.
- Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance.
- Team Building Opportunities.
- Flexible core hours between 10am – 4pm.
- Receive support whenever you need it with our Employee Assistance Program, available 24/7.
- Local discounts and more…
Data & Insight Manager employer: Eeze Entertainment Malta Limited
Contact Detail:
Eeze Entertainment Malta Limited 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 folks in the industry, especially those already at Eeze. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Show off your skills in action! If you’ve got a portfolio or examples of data products you've worked on, bring them along to interviews. It’s all about demonstrating how you can bridge business needs with data solutions.
✨Tip Number 3
Prepare for those tricky questions! Think about how you’d handle stakeholder management and team leadership scenarios. We want to see how you can influence and drive adoption of data products across different teams.
✨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, it shows you’re genuinely interested in joining the Eeze team.
We think you need these skills to ace Data & Insight Manager
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 team leadership, and don’t forget to sprinkle in some of those key skills mentioned in the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re the perfect fit for Eeze. Share specific examples of how you've bridged business needs with data solutions and led cross-functional teams.
Showcase Your Data Mindset: We want to see your strong data product mindset! In your application, mention any experience you have with scalable data solutions and how you've ensured data quality and governance in past roles.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Eeze Entertainment Malta Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in the data landscape relevant to the role. Brush up on your understanding of data pipelines, warehousing concepts, and how to translate complex data into actionable insights. This will show that you can bridge the gap between business needs and data capabilities.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading cross-functional teams. Discuss how you've established clarity in roles and responsibilities, and how you’ve driven a Data-as-a-Product operating model. This will demonstrate your ability to lead and develop a team effectively.
✨Align with Business Objectives
Be ready to discuss how you’ve prioritised data initiatives based on measurable business outcomes in the past. Show that you understand the importance of aligning data products with commercial, product, and operational priorities, which is crucial for this role.
✨Embrace the Fast-Paced Environment
Prepare to talk about your experiences in dynamic settings where ambiguity is common. Share how you’ve balanced short-term reporting needs with long-term investments, showcasing your adaptability and strategic thinking in evolving environments.