Philip Morris International

(Senior) Data Analyst - Business Intelligence - Po...

Job description


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 deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

At PMI, we believe no job is too big or small for any of us to handle if it helps our vision towards a #smokefreefuture. We value passionate, committed people who enjoy collaborating with others to find solutions to business challenges. We are looking for the type of person who speaks their mind, truly listens and steps above their role to contribute wherever they can.

In this role YOU will be a part of a Business Intelligence global team of more than 40 people and you will work with internal partners in various domains like Commercial & Consumer Insights, Omnichannel, Finance, Operations and more. We are growing our team and there plenty of exciting projects and opportunities to bring value to PMI’s transformation.


  • Minimum 2-3 years of experience with Data analysis, Business Intelligence, Modelling, Analytics Engineering or relevant fields
  • Advanced Microsoft PowerBI experience required
  • SQL experience required, ETL is a plus
  • Python experience is a plus – competent user, uses numpy, scipy, pandas, sklearn libraries, knowledge and practical experience with ML algorithms (Logistic Regression, Random Forest, Boosting, Neural Networks)
  • Analytical mindset with a problem-solving attitude
  • Applied statistics (hypothesis testing, causal inference, experimental design) and feature engineering skills is a plus
  • Good knowledge of internal Company processes, understanding of information flow
  • Self-motivated with a sense of ownership and accountability, negotiation and problem solving skills
  • Experience with project management and stakeholder engagement
  • Strong active listening and communication skills to build partnerships at all levels and ability to explain complex matters to non-technical experts
  • Working experience in agile environments with good understanding of agile delivery frameworks is a clear advantage
  • Cross-functional groundbreaking projects in teams & companies,
  • Wide range of trainings, further education, optional language courses,
  • Cafeteria with various benefits,
  • Attractive medical care,
  • Hybrid work & flexible working arrangements,
  • Pension employee program,
  • Lunch card (Sodexo),
  • Life insurance.
  • Build simple and comprehensive reports and visualizations with clear insights and proposals
  • Data Analysis. Deep-dive into the data to find insights that drive the strategy and develop recommendations and prepare actionable proposals
  • Drive constant dialog with subject matter experts in various product groups, collect, analyse, aggregate commercial data, challenge quality of data, elaborate functional and non-functional requirements
  • Shape key milestones, identify timeline of execution, ensure communication flow to align all stakeholders, provide analytical support for pilots leveraging new business/data models
  • Formulate technical task for ongoing automation initiatives for building dashboards and models based on conducted analytical research
  • Follow the changes in the business model and reflect them on the level of data modelling, performing model adjustments
  • Support business and technical teams with actual data model structure and associated business processes
  • Actively collaborate with other BI streams in order to improve and optimize data flow, quality and visibility. Share and promote best data structure practices
  • Advanced Analytics - You might also participate in Machine Learning projects, contributing to advanced solutions
Please note that only on-line applications will be taken into consideration.

Only selected candidates will be contacted.

Please note that this position might be located either in Poland, Cracow or Turkey.

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