Principal Strategic Marketing Intelligence Data Analyst

Responsibilities may include the following and other duties may be assigned:

• Lead the development, transformation, and modelling of data to generate strategic and operational insights that inform high-level decision-making.
• Design and maintain scalable, executive-ready dashboards and analytical tools using enterprise systems and BI platforms.
• Serve as a key partner to IT, Centers of Excellence, Marketing, and Commercial teams, translating complex business questions into integrated data solutions.
• Build and maintain strong relationships with senior stakeholders, providing analytical guidance that informs planning, forecasting, and strategic initiatives.
• Drive innovation through AI and automation initiatives by shaping use cases, preparing high-quality data inputs, and delivering prototype solutions.

Required Knowledge and Experience:

• Bachelor s degree in Engineering, Business Analytics or a related field, or equivalent work experience
• 7+ years of experience in analytics or business intelligence roles, with a track record of delivering high-impact insights to senior stakeholders
• Advanced SQL skills for querying, transformation and optimization in big data environments (e.g. Snowflake)
• Expertise with data visualization tools (e.g. Tableau, Power BI), with the ability to design intuitive, executive-level dashboards
• Proficiency with data preparation and transformation tools (e.g. Knime, Tableau Prep, Power Query)
• Excellent problem-solving skills, with the ability to structure ambiguous business questions into analytical approaches
• Demonstrated experience leading cross-functional analytics projects from design through delivery
• Strong communication and storytelling skills, with the ability to influence and align stakeholders at all organizational levels
• Strategic understanding of enterprise data architecture, including how enterprise systems and platforms interact within a connected ecosystem
• Nice to have but not required:
• Experience with a programming or scripting language (e.g., Python, R) for data analysis, automation, or participation in AI initiatives.
• Willingness to contribute to AI/ML projects.
• Enthusiasm for learning new technologies and participating in innovation-driven projects.