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As a Retail Analytics Senior Specialist, you will play a key role in shaping and supporting the strategic direction of OPAP’s retail network. You’ll contribute to the definition of business objectives, commercial KPIs, and budget planning, while continuously 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.&nbsp;Your day to day will include:<ul><li>Monitoring retail network KPIs (OPAP stores, Play Stores, indirect channels) and developing Power BI reports (annual, quarterly, monthly, ad-hoc) with detailed performance analysis by region, store, and product.</li><li>Conducting ad-hoc and deep-dive analyses to assess commercial initiatives (e.g., Sports Party, KINO draws).</li><li>Tracking performance and reward schemes to ensure effectiveness.</li><li>Evaluating retail initiatives for impact and alignment with business priorities.</li><li>Ensuring accuracy and stability of reporting tools, combining technical expertise with business understanding.</li><li>Delivering actionable insights that connect data to commercial outcomes.</li><li>Collaborating with the AI team on root cause analysis and predictive modeling and expanding reporting automation using AI capabilities.</li><li>Contributing to the design and evaluation of commercial and credit policies, and reward schemes, recommending improvements.&nbsp;</li><li>Suggesting new initiatives, services, and features to boost retail ROI for partners and OPAP.</li><li>Conducting post-investment appraisals of retail initiatives, evaluating store profitability with Sales and Finance.</li><li>Aligning with BI team to optimize data infrastructure that supports the team's reporting needs.</li></ul>&nbsp;What you need to succeed:<ul><li>Bsc in Management Science &amp; Technology, Management of Information Systems or relevant field</li><li>Master’s in Business Administration, Finance, Economics, Marketing or relevant field</li><li>Hands-on experience in analyzing, visualizing and interpreting data using tools like R / Python / SQL / Power BI / Data Bricks / Microsoft Azure</li><li>Excellent numerical and analytical skills with the ability to interpret data into well-presented, meaningful stories</li><li>Knowledge of basic financial principles</li><li>Experience in predictive analytics, ideally by utilizing automation, ML &amp; AI features</li><li>Strong result &amp; consumer-oriented approach</li><li>Excellent communication and presentation skills in English &amp; Greek</li><li>Good Knowledge of the gaming industry will be considered an asset</li></ul>&nbsp;What’s in it for you?<ul><li>An award-winning working environment&nbsp;🚀</li><li>State of the art facilities including gym &amp; restaurant&nbsp;🏢</li><li>Hybrid working model&nbsp;💻</li><li>Competitive salary package and bonus scheme&nbsp;💸</li><li>Health insurance coverage &amp; Pension Plan&nbsp;🙏</li><li>Monthly food allowance&nbsp;🍴</li><li>Continuous learning with classroom/digital trainings by OpapAcademy&nbsp;🎓</li><li>Internal Career Opportunities&nbsp;💼</li><li>Well-Being Activities&nbsp;💪</li></ul>&nbsp;OPAP Group is an equal opportunity employer&nbsp;

Retail Analytics Sr. Specialist (3770)

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.&nbsp;What your day to day will include:<ul><li>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.</li><li>Conducting post-investment appraisal of retail initiatives, evaluating store uplift based on solid methodologies.</li><li>Ensuring accuracy and stability of reporting tools, combining technical expertise with business understanding.</li><li>Collaborating with the AI team on root cause analysis and predictive modeling and expanding reporting automation using AI capabilities.</li><li>Expanding automation in reporting utilizing AI features</li><li>Aligning with BI team to optimize data infrastructure that supports the team's reporting needs.</li><li>Providing clear &amp; meaningful KPI specs, efficient database preparation &amp; ensuring optimized Power BI reports</li></ul>&nbsp;What you’ll bring:<ul><li>Bsc in Management Science &amp; Technology, Mathematics, Statistics, Computer Science or relevant field, Master's degree will be considered an asset</li><li>Hands-on experience in data mining and analysis of big data in large-scale data environments</li><li>Excellent knowledge of SQL and ETL/ELT processes</li><li>Good knowledge of programming languages, statistical models and analytics tools (Python, R, Databricks, SAS)</li><li>Solid experience in data visualization tools (Power BI, Tableau)</li><li>Advanced MS Excel knowledge</li><li>Familiarity with ML/AI applications in retail or behavioural analytics</li><li>Strong analytical and conceptual thinking; ability to translate findings into real-world recommendations</li><li>Excellent communication skills in English &amp; Greek</li><li>Good Knowledge of the gaming industry will be considered an asset</li></ul>&nbsp;What’s&nbsp;in it for you?&nbsp;🚀 An award-winning working environment &nbsp;💸 Competitive salary package and bonus scheme &nbsp;🩺&nbsp;Health insurance coverage, Pension Plan and Annual Health Checkup &nbsp;💻&nbsp;Hybrid working model &nbsp;🏢 State of the art facilities including gym&nbsp;&amp;&nbsp;restaurant&nbsp;🎓 Continuous learning powered by Allwyn Academy &nbsp;💼 Internal career opportunities &nbsp;👪&nbsp;Family Support incl. daycare&nbsp;voucher&nbsp;and assisted reproduction&nbsp;voucher&nbsp;🌱 Volunteering program, including 2 extra days off to give back&nbsp;💪 Well-Being Program incl. sports teams, nutritionist &amp; psychologist services, Employee Assistance line and more&nbsp;🗓️ Allwyn Day - one extra day off&nbsp;&nbsp;🍴 Monthly food allowance&nbsp;&nbsp;🚌&nbsp;Shuttle service for easy commute to our offices&nbsp;🛍️ Exclusive employee discounts across a range of partners ️&nbsp;

Retail Analytics Specialist (3962)

Are you excited about using advanced analytics to unlock real value from retail customer data?&nbsp;You’ll turn raw signals and trends into actionable insights that power smarter decisions, better experiences, and measurable ROI.&nbsp;Your day to day will include:<ul><li>Applying robust business logic to analyze customer behavior and performance trends, identifying opportunities, risks, and growth drivers</li><li>Performing in‑depth analysis on strategic topics (e.g., segmentation) and implementing ML/AI algorithms where applicable</li><li>Translating complex data into clear, actionable insights that support business decision‑making and recommending actions with measurable impact</li><li>Conducting regular and ad hoc analyses on CRM, Loyalty, and Commercial activations and delivering insights on customer engagement and value contribution</li><li>Developing and maintaining evaluation dashboards and reports (e.g., Power BI, Tableau, GA) by integrating multiple data sources</li><li>Implementing strong data validation procedures to ensure accuracy, consistency, and reliability of analytical outputs</li><li>Delivering presentations upon management request, providing analysis of complex datasets, commercial insights, and actionable plans</li><li>Designing, calculating, and maintaining customer‑centric KPIs and performance frameworks to evaluate initiative outcomes</li><li>Collaborating closely with internal teams (e.g., CRM, Loyalty, MUs, Sales, Finance, BI) to assess their analytical needs and translate them into actionable insights</li><li>Partnering with Tech teams to define data engineering and BI requirements (e.g., data marts, customer 360° views, validation standards)</li></ul>&nbsp;What you need to succeed:&nbsp;<ul><li>BSc in Statistics, Mathematics, Engineering, Computer Science or Analytics; MSc in a relevant field is a plus</li><li>Experience in data mining and big data analysis within complex environments</li><li>Strong SQL skills and hands‑on experience with analytical tools (Python, R, SAS, SPSS Modeler)</li><li>Solid understanding of statistical models and advanced analytical techniques</li><li>Proficiency in data visualization tools (Power BI, Tableau)</li><li>Strong analytical thinking, business acumen, and problem‑solving mindset</li><li>Proficient MS Office knowledge</li><li>Excellent command of English (written &amp; spoken)</li></ul>&nbsp;What’s in it for you?<ul><li>An award-winning working environment&nbsp;🚀</li><li>Competitive salary package and bonus scheme&nbsp;💸</li></ul><ul><li>Health insurance coverage &amp; Pension Plan&nbsp;🙏</li></ul><ul><li>State of the art facilities including gym &amp; restaurant&nbsp;🏢</li><li>Hybrid working model&nbsp;💻</li><li>Continuous learning with classroom/digital trainings by Allwyn Academy&nbsp;🎓</li><li>Internal Career Opportunities&nbsp;💼</li><li>Volunteering opportunities, including 2 extra days off to give back🌱</li><li>Well-Being activities&nbsp;💪</li><li>Monthly food allowance 🍴</li><li>Exclusive employee discounts across a range of partners 🛍️</li></ul>

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retail analytics sr. specialist (3770)

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retail analytics specialist (3962)

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