Are you passionate about transforming data into actionable insights and driving change through analytics? Master Packaging is seeking a Business Intelligence Analyst to champion the adoption and evolution of business intelligence across the organization. This role is ideal for someone who thrives at the intersection of data, technology, and business transformation.
As a key member of the Business Improvement team, you will lead the design, development, and implementation of Power BI solutions that empower decision-makers and enhance operational efficiency. You will act as a liaison between departments, helping to foster a data-driven culture and ensure the successful adoption of Business Intelligence tools and practices.

QUALIFICATIONS

Experience:

• 1–3 years working with large data sets or at least 1 year developing reports with Power BI.
• Experience with data stores is an asset.

Education:

• Bachelor’s degree in Business, Computer Science, Mathematics, Information Systems, or a related field.
• BI/Analytics certifications are considered an asset.

SKILLS:

• Proficiency in Power BI (DAX, Power Query, data modeling).
• Familiarity with SQL, Crystal Reports, and other reporting tools is a plus.
• Strong data manipulation and logic-building skills.
• Ability to work cross-functionally and communicate technical concepts to non-technical users.
• Understanding of data warehousing concepts.
• Advanced Microsoft Office skills.

• Design, develop, and maintain Power BI dashboards, reports, and data models across multiple business units.
• Collaborate with business leaders to understand needs, ensure user adoption, and deliver impactful analytics solutions.
• Translate business requirements into technical specifications for BI development.
• Build and deploy data sets, data flows, and documentation in a centralized data catalog.
• Troubleshoot and resolve data and reporting issues across departments.
• Contribute to the development of the Master Packaging BI roadmap and change management strategy.
• Identify trends and automation opportunities through advanced data analysis.
• Maintain data structure, access controls, and ensure data integrity across systems.
• Monitor data quality and collaborate with data owners to resolve issues.
• Support training and onboarding of users to promote BI literacy and self-service analytics.