Business Intelligence Analyst

WHAT YOU’LL BE DOING

• External Partnership Support: Provide comprehensive data services and analytical solutions for external partners, including approaching cross-functional teams across multiple regions (e.g., US, Canada, EU, and Australia).

• Cross-Functional Collaboration: Partner actively with enterprise services to understand complex data requirements and translate strategic business questions into actionable analytical frameworks.

• Advanced Analytics: Conduct deep-dive analysis to identify market trends, operational opportunities, and performance patterns while developing sophisticated predictive models to address complex business challenges.

• Relationship Building: Establish and maintain strong collaborative relationships with stakeholders across the organization, from technical teams to executive leadership.

• Data Storytelling: Communicate complex analytical findings and insights clearly to both technical and non-technical audiences through compelling visualization dashboards and executive-ready presentations.

• Decision Support: Develop and deliver comprehensive dashboards, reports, and decision-support tools that enable strategic planning and operational optimization.

Education and Experience

• Education: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Business Administration, or related field.

• Experience: Minimum 2-4 years of progressive experience in Data Analysis, Business Intelligence, or Business Analysis roles.

Technical Competencies

• Analytical Excellence: Demonstrated strong analytical capabilities with proven ability to transform complex datasets into strategic business insights.

• Business Intelligence Tools: Proficiency with industry-standard BI platforms including Excel and Power Query; advanced proficiency in SAP Analytics Cloud highly preferred.

• Programming Skills: Experience with Python, R, or similar analytical programming languages is advantageous.

• Database Management: Strong foundation in SQL for data extraction, manipulation, and analysis; experience with data warehousing concepts and ETL processes (nice to have)