Business Intelligence Specialist

• Lead and deliver high-impact BI initiatives that align with enterprise strategy, ensuring solutions drive data-informed decision-making and measurable business outcomes.​
• Oversee BI development processes and vendor partnerships, ensuring timely delivery of scalable, sustainable solutions that meet business and production objectives.​
• Design, build, and maintain robust data pipelines and semantic layers to support enterprise-level BI platforms, ensuring consistency, performance, and accuracy across reporting solutions.​
• Develop advanced dashboards, scorecards, and visualizations to monitor performance and support strategic and operational decision-making across functions.​
• Partner with business stakeholders throughout the BI lifecycle—from identifying needs, to prototyping and testing, through to deployment—enabling a Test & Learn culture and continuous improvement.​
• Act as the primary BI advisor for assigned business domains, representing leadership when required, and fostering strong cross-functional collaboration across Analytics, Technology, and business teams.​
• Advocate for and implement self-service BI solutions and training programs, empowering users to access, explore, and interpret data independently using enterprise tools and standards.​
• Apply data storytelling, data governance, and analytical techniques to address complex business problems, uncover trends, and generate actionable recommendations.​
• Present BI solutions, insights, and strategic recommendations to varying levels of stakeholders, adapting messaging to technical and non-technical audiences effectively.​
• Operate with autonomy in driving project execution, managing priorities, and collaborating across departments, requiring minimal supervision while maintaining high accountability.​
• Take ownership of professional development by actively building BI expertise, staying current with emerging tools, and contributing to CoE best practices and knowledge-sharing efforts

Education: ​

Bachelor’s degree in Statistics, Mathematics, Marketing, and other related field of studies (Information Technology, Operations Research) or an equivalent combination of education and work-related experience.                         ​

Minimum university degree and 3-4 years of relevant experience or equivalent.                                                                                                           ​

Experience:  ​

2 or more years progressive work-related experience working with relational decision-support databases and analytical consulting with demonstrated proficiency and understanding in one or more functions related to the position.                                                                        ​