Senior Advanced Analyst at Παπαστράτος Α.Β.Ε.Σ.

Aspropyrgos, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Models, Machine Learning, Pattern Recognition, Forecasting, Optimization Algorithms, Statistical Methods, Data Analytics, Python, SQL, Power BI, Tableau, Qlik, Data Visualization, Business Acumen, Communication

Industry

Tobacco Manufacturing

Description

Senior Advanced Analyst in Aspropyrgos, Greece | Other at Philip Morris International Job Advanced Widget Req ID 4732 Job Type Full Time Date Posted 01/15/2026 JOB DESCRIPTION Be a part of a revolutionary change At PMI, we’ve chosen to do something incredible. We’re totally transforming our business and building our future on smoke-free products with the power to improve the lives of a billion smokers worldwide. PMI’s journey to a smoke-free future is fueled by technology. The total transformation we’re going through means that there are unique projects here to match all levels of skills and ambitions – from pace-setting global pilot projects to vital local updates. Whether you want to pursue a personal passion or build an international career, there’s space here to develop in any number of directions. We are currently looking for dedicated individuals in the role of Senior Advanced Analyst/Data Scientist who excel in data analytics and are passionate about analyzing large amounts of raw information, aiming to improve the IQOS Consumer Journey. Your ‘day to day’ tasks Use statistical methods in large databases and unstructured datasets to identify different milestones of IQOS consumer journey. Leverage data to find business opportunities and develop creative solutions by employing data science methods such as statistical models, machine learning, pattern recognition, forecasting, optimization algorithms or other complex methodologies. Model and predict future behaviour of IQOS customers, develop and analyse relevant experiments. Build multiple customer segmentations and provide recommendations for acquisition and retention strategy. Distil real-time 360 consumer data, synthesize them into meaningful outcomes and insights that will foster business actions. Visualize dissimilar data and communicate them in a sharp and vivid manner across different stakeholders. Designing, developing and maintaining BI solutions including business models, dashboards, reports and data models. Applying these models to communicate insights and propose strategic scenarios for improvement. Collaborate with cross-functional teams to understand data needs and deliver strategic insights. Mentoring and guiding junior analysts within the team, sharing expertise and support. Who we’re looking for Educational background in Maths, Statistics, Data Science, Computer Science, Engineering or other quantitative discipline or equivalent experience (MSc or PhD degree will be considered an asset). 4+ years of hands-on experience in Data Science or Applied Statistics for business problem solving (Descriptive, Exploratory, Predictive) such as segmentation, propensity modelling (churn/cross-sell), time-series forecasting, text analytics, etc. Robust programming skills, knowledge of data science and expertise in statistics. Proficiency in Python. Familiarity with machine learning frameworks &libraries. Proficiency in BI tools such as Power BI, Tableau, or Qlik. Strong SQL skills and experience working with relational databases. Strong visualization and communication skills. Strong business acumen, analytical and problem-solving skills Proficient knowledge of English language. What we offer Our success depends on colleagues who come to work every single day with a sense of purpose and an appetite for progress. Join PMI and you too can: Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore. Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong. Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress. Take pride in delivering our promise to society: to improve the lives of a billion smokers.

Responsibilities

The role involves using statistical methods and data science techniques like machine learning and forecasting on large datasets to analyze the IQOS consumer journey, identify business opportunities, and predict customer behavior. Responsibilities also include building customer segmentations, synthesizing consumer data into actionable insights, developing BI solutions, and mentoring junior analysts.