The Senior Business Analyst completes data analysis and statistical analysis using various methodologies and presents the results of such analysis in a meaningful way to division/site leadership. Uses data analysis/statistical analysis

to make recommendations to division/site leadership.

Requirements

• Minimum of 5 years Supply Chain or Service based analytics experience in a Global Business Environment.
• Experienced with Microsoft data visualization and "Power" applications.
• Good analytical, programming, and debugging skills.
• Primary Degree in Engineering, Business, Maths or Data Science is a prerequisite and a master’s degree in one of these subjects is desirable.
• A strong track record of collaborating with and influencing multifunctional global operations
• Ability to work across functions, data sources and cross functional teams in order to understand how to locate and use data points.
• Proficiency with project management methodologies and techniques preferred.

Responsibilities and Duties

• Design, develop and deploy tools to analyse current & projected performance and outline data driven opportunities for performance improvement.
• Develop and lead projects focused on enhancing statistical methodologies
• Extracts data from a variety of data sources incorporating complex logic as needed. Data sources may include databases and other structured data sources
• Testing and implementing new or upgraded software and assisting with strategic decisions on new systems.
• Identifies, communicates, and endeavours to resolve data gaps that impact the fulfillment of the division's/site's functional requirements
• Identifies, evaluates, and documents potential data sources in support of project requirements
• Guides various business departments in appropriate and effective use of data
• Supports and executes change management activities regarding data analysis e.g. migration from Qlikview to PowerBI.
• Responsible for developing KPIs within the division/site for the purpose of identifying trends and evaluating the success of the business’s initiatives
• Builds statistical models, diagnoses, validates, and improves the performance of these models over time