Data Analyst

Join Novibet as a Data Analyst

Are you ready to to work on advanced analytics projects, build models that drive real business outcomes, and shape the future of gaming analytics? If you have a passion for Data Analysis and thrive in a fast-paced environment, this could be the right opportunity for you

Who We Are

Founded in 2010, Novibet is a leading GameTech company with a strong international presence. We operate in diverse markets, including Greece, Cyprus, Ireland, Canada, Brazil, Mexico, Chile, Ecuador, Finland, Italy, and New Zealand. With offices in Greece, Malta and Brazil, our mission is to deliver unparalleled sports betting and online gaming experiences to our rapidly expanding customer base.

Why Novibet

At Novibet, we are proud to be certified as a Great Place to Work, consecutively since 2021, reflecting our commitment to developing a positive, inclusive, and supportive work environment. Join us, and you will be part of a team of over 1,000 people worldwide that values collaboration, innovation, and personal growth.

What you will work on

• Write SQL queries to extract and analyze data from multiple sources.
• Build data models and analytical frameworks to support predictive, prescriptive, and diagnostic analytics.
• Conduct deep-dive analyses to uncover player behaviors, market trends and revenue opportunities.
• Design and implement data transformations to prepare datasets for modeling and statistical analysis.
• Apply statistical methods and exploratory data analysis to validate hypotheses and support business decisions.
• Collaborate with different teams like Product, Marketing and Finance to deliver insight-driven strategies.
• Automate recurring analytics tasks using SQL and Python to improve efficiency and scalability.
• Partner with BI engineers to ensure analytical datasets are optimized for modeling and self-service analytics.
• Present findings with clear, data-backed recommendations to both technical and non-technical stakeholders.

What you bring

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 3+ years of experience in analytics, data science or quantitative research roles.
• Strong SQL skills (joins, CTEs, aggregations, performance tuning).
• Solid experience with Python for data analysis
• Familiarity with statistical analysis, hypothesis testing, and A/B experimentation.
• Experience visualizing insights using tools such as Tableau, Looker or similar
• Strong communication skills with the ability to translate analytics into business impact.
  

Nice to have Skills

• Exposure to machine learning techniques for classification, clustering and regression.
• Familiarity with Databricks or other cloud-based analytics platforms.
• Experience in gaming, betting or high-volume transactional data environments.
• Knowledge of predictive modeling, forecasting for customer segmentation, churn prediction or lifetime value estimation.

What we offer

We truly value our people at Novibet Within our vibrant, dynamic, and fast-paced environment, we encourage everyone to reach their full potential while enjoying every step of the journey. Here's how we make that happen:

• Competitive Compensation: Attractive salary and bonus scheme
• Health insurance: Group health & medical insurance package
• Top-Notch Equipment: All the tools you need for your role
• Career Growth: Focused career development, performance management, and training opportunities
• Alternative Transportation: Shuttle buses & Carpooling options
• Inclusive Environment: A welcoming, international, and multicultural team
• Engaging Activities: Exciting events, sports, and team-building activities

At Novibet we value diversity and are committed to an inclusive and equitable workplace. All decisions regarding recruitment, hiring, promotion, compensation, employee training and development, and all other terms and conditions of employment, are made without regard to race, religious beliefs, color, gender identity, sexual orientation, marital status, disability or chronic disease, age, ancestry or place of origin.