Jobs at Philip Morris International

What You’ll Do

• The Senior Business Analyst will coordinate intricate business needs using data solutions, ensuring value delivery.
• Develop and maintain comprehensive business models representing processes, roles, data, and organizational structures.
• Apply these models to communicate insights and propose strategic scenarios for improvement.
• Perform strategic analysis of complex business situations to identify problems and opportunities.
• Conduct in-depth root cause analysis and recommend actionable, strategic improvements.
• Collect, document, and handle business and ad hoc needs. Make sure they align with business goals and customer requirements.
• Build detailed functional specifications and design documents for new systems and improvements, ensuring they meet high-level business requirements.
• Design and implement sophisticated data products and analytics solutions to support strategic business decision-making. Collaborate closely with cross-functional team to ensure business models are based on rigorous data analysis.
• Develop and coordinate the execution of comprehensive test plans to ensure product quality and functionality. Lead all aspects of defect resolution efforts in collaboration with development teams.
• Engage with collaborators to understand their needs and ensure their requirements are met. Facilitate workshops and meetings to gather input and feedback.
• Mentor and guide junior business analysts within the team, providing expertise and support.
• Identify and drive opportunities for process improvements based on in-depth data analysis.

What You’ll Bring

• A completed bachelor’s degree in Business Administration, Information Technology, or a related field.
• Minimum 6 years of experience in analytics
• Solid 2+ years of hands-on data governance experience is required.
• Strong background in data storytelling—able to translate insights for non-technical audiences.
• Proficiency in Power BI and business modeling/analytics tools.
• Experience working in diverse, cross-functional teams.
• Knowledge of data governance frameworks and business process design.
• Familiarity with LeanIX or similar platforms is an advantage.

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What You’ll Be Doing

• Apply advanced mathematics, statistics, and data mining techniques to extract valuable insights from data.
• Build and deploy robust analytics and machine learning models using modern programming tools.
• Interpret complex data and translate it into clear, actionable information for non-technical audiences.
• Craft compelling data stories through easy-to-understand visuals, reports, and presentations.
• Collaborate with cross-functional teams to craft strategies that rely on data-driven thinking.
• Mentor junior team members and contribute to a culture of knowledge-sharing.
• Stay curious and current with the latest advancements in AI and data science.
• Manage multiple projects with attention to detail and deliver high-quality work within deadlines

What You’ll Bring

• A bachelor’s degree in data science, Computer Science, Statistics, or a related field
• At least 5 years’ experience in data science, or similar role
• Strong storytelling with the ability to convert data into business insights & recommendation is key
• Strong proficiency in Python, SQL, and relational databases.
• Practical experience with ML/AI frameworks and open-source data science tools.
• Familiarity with natural language processing (NLP) is a plus.
• Knowledge of version control (Git) and collaborative tools.
• Hands-on experience with cloud technologies, especially AWS (S3, EC2, SageMaker).
• Experience with Jupyter, Snowflake, Docker, and the Atlassian suite (Bitbucket, JIRA, Confluence).
• Proficient in data governance and standard methodologies for data management.
• Excellent communication skills — you know how to break down complex concepts so everyone understands the insights and next steps.
• Someone who demonstrates curiosity and optimally communicates stories through data to encourage action.
• Strong organizational skills and the ability to work independently.

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Your day to day

• Deploy and Maintain Data Governance Processes: Implement data governance policies, processes, and standards to ensure data integrity and quality across the organization.
• Collaboration and Cooperation: Work closely with data owners and collaborators to ensure alignment to data quality, confidentiality, and global standards.
• Lead Initiatives: Head local data governance initiatives and projects, aligning them with business objectives and company policies.
• Monitor and Enforce Policies: Conduct data quality assessments and audits to maintain high standards of data reliability and quality.
• Identify and Solve Issues: Develop and implement solutions to improve data reliability and quality using technologies such as Snowflake, Atlan, and LeanIX.
• Integration and Support: Work closely with Data Engineers, Data Scientists, and other collaborators to integrate data governance policies into data pipelines and models.
• Report Metrics: Deliver reports to senior management on data governance metrics and key performance indicators.
• Training and Support: Deliver training and support to staff on standard methodologies for data governance.

What we are looking for

• Educational Background: B.Sc. in Computer Science, Information Management, or a related field.
• Minimum 2 years of experience in role with the core focus on data governance or a similar role.
• 6-8 years of data analytics/management experience required
• Collaboration Skills: Proven capability to work cross-functionally with business, analytics, and IT collaborators to address challenges and coordinate data governance initiatives.
• Certification: Certification in data governance or data management (e.g., DAMA, CDMP).
• Technical Proficiency: Experience with data management tools and technologies such as Atlan and LeanIX.
• AI and Machine Learning: Familiarity with the application of machine learning and AI in data governance.
• Project Management: Strong project management skills
• Applicants must have legal authorisation to work in the relevant countries without need for visa sponsorhip

Key Competencies

• Data Governance Principles: Solid understanding of data governance principles (DAMA-DMBOK, ISO/IEC 38500, NIST AI RMF, NIST RDaaF, etc.).
• Experience in Solutions Implementation: Hands-on experience in implementing solutions to improve data quality.
• Proficiency in data quality management and data auditing.
• Solid experience with data visualization tools to supervise and report on data governance metrics.
• Superb communication and collaborator management skills.
• Leadership: Ability to lead and manage data governance projects.
• Regulatory Knowledge: Knowledge of data privacy regulations and compliance requirements.
• Analytical Skills: Strong analytical and problem-solving skills.