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.
