Retail Analytics Specialist

About Allwyn Hellas

OPAP is now Allwyn, entering a new era of transformation powered by digitalization, innovation and unique experiences for retail and online customers.

Allwyn is a multi-national gaming entertainment company, lottery-led, with leading market positions and trusted brands across Europe and North America. Our purpose is to make play better for all by focusing on innovation, technology, player safety and returning more to good causes across a growing casual gaming entertainment portfolio.

This new era brings more for our people. Whatever your role, you’ll feel part of something bigger and empowered to make an impact, with opportunities to accelerate your ambitions, develop your talent and thrive alongside colleagues around the world.

Allwyn has been recognized as a Top Employer in Greece for four consecutive years (2023–2026), reflecting our commitment to creating a workplace that truly stands out and focuses on our people.

A Winning Career Awaits.

So, what’s the challenge...

As a Retail Analytics Specialist, you will play a key role in supporting the strategic direction of Allwyns’s retail network. You’ll contribute to the definition of business objectives, commercial KPIs, and budget planning, while monitoring performance and delivering insightful reports. Additionally, you’ll provide comprehensive analytics and reporting across the entire retail ecosystem, supporting stakeholders at all levels, from agents and Marketing Units to Area Managers, Sales teams, and top management.

What your day to day will include:

• Monitoring retail network KPIs (Allwyn stores, Play Stores, indirect channels) and developing Power BI reports (annual, quarterly, monthly, ad-hoc) with detailed performance analysis by region, store, and product.
• Conducting post-investment appraisal of retail initiatives, evaluating store uplift based on solid methodologies.
• Ensuring accuracy and stability of reporting tools, combining technical expertise with business understanding.
• Collaborating with the AI team on root cause analysis and predictive modeling and expanding reporting automation using AI capabilities.
• Expanding automation in reporting utilizing AI features.
• Aligning with BI team to optimize data infrastructure that supports the team's reporting needs.
• Providing clear & meaningful KPI specs, efficient database preparation & ensuring optimized Power BI reports.

What you’ll bring:

• Bsc in Management Science & Technology, Mathematics, Statistics, Computer Science or relevant field, Master's degree will be considered an asset
• Hands-on experience in data mining and analysis of big data in large-scale data environments
• Excellent knowledge of SQL and ETL/ELT processes
• Good knowledge of programming languages, statistical models and analytics tools (Python, R, Databricks, SAS)
• Solid experience in data visualization tools (Power BI, Tableau)
• Advanced MS Excel knowledge
• Familiarity with ML/AI applications in retail or behavioural analytics
• Strong analytical and conceptual thinking; ability to translate findings into real-world recommendations
• Excellent communication skills in English & Greek
• Good Knowledge of the gaming industry will be considered an asset

What’s in it for you?

An award-winning working environment

Competitive salary package and bonus scheme

Health insurance coverage, Pension Plan and Annual Health Checkup

Hybrid working model

State of the art facilities including gym & restaurant

Continuous learning powered by Allwyn Academy

Internal career opportunities

Family Support incl. daycare voucher and assisted reproduction voucher

Volunteering program, including 2 extra days off to give back

Well-Being Program incl. sports teams, nutritionist & psychologist services, Employee Assistance line and more

Allwyn Day - one extra day off

Monthly food allowance

Shuttle service for easy commute to our offices

Exclusive employee discounts across a range of partners ️

Allwyn is an equal opportunity employer, welcoming talented individuals from all backgrounds.

Does this opportunity sound exciting to you? If yes, we would love to hear from you!