The Procurement Systems Data Analyst plays a crucial role in supporting day-to-day operations and future-state procurement initiatives by influencing strategic decisions through data-driven analytics and collaboration. As a Procurement Systems Data Analyst, you will be responsible for maintaining the vital integrity of data which drives business efficiency, while synchronously providing proactive communication, problem-solving abilities, and ownership. The ideal candidate will possess a combination of both technical and analytical expertise, with a strong understanding of procurement operations, systems and cloud-based applications.
RESPONSIBILITIES, other duties may be assigned.
- Maintain and manage procurement databases, ensuring data integrity, consistency, and accuracy across multiple systems.
- Perform data cleansing, validation, and transformation to ensure high-quality data is available for processing and key decision-making.
- Assist in the development of procurement strategies by providing data-backed recommendations.
- Communicate findings and insights to stakeholders in a clear and actionable manner, helping inform decision-making and strategy development.
- Conduct in-depth analysis to identify trends, patterns, and opportunities for process improvement.
- Provide training and support to end-users on functionalities, best practices, and data management techniques.
- Continuously learn new data analysis techniques and tools to enhance data processing and visualization skills.
- Perform ad-hoc analyses for principal business partners to address urgent operational and analytical needs.
- Foster a collaborate environment by actively working with cross-functional teams to ensure data insights align with business objectives and strategic goals.
- Ownership of cross-functional initiatives, ensuring smooth communication and efficient execution among all team members.
- Stay up to date on the latest trends and feature releases to propose innovative solutions to keep business at the forefront of the industry.
BASIC QUALIFICATIONS- Bachelor's degree in Computer Science, Data Science, Statistics, Business Analytics/Administration, or related field or equivalent professional experience.
- At least 2 years of proven experience as a Data Analyst, Business Analyst, or similar role, with a focus on data analysis and visualization.
- Proficiency using Oracle Fusion, Excel, Smartsheet, PowerBI, Tableau, Palantir or similar data analysis/reporting tool to manage and analyze data.
- Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy.
- Excellent communication details with the ability to clearly and effectively translate data insights to key stakeholders across a variety of workstreams.
- Familiarity with ERP systems and understanding of procurement operations, financial processes, and controls.
- Proven ability to work collaboratively amongst a large and diverse array of teams with the capacity to form strong, professional relationships that drive business.
- Ability to adapt to a rapidly changing and growing industry with an exhibited capability for growth and knowledge acquisition.
KNOWLEDGE, SKILLS AND ABILITIES - Excellent interpersonal skills with the ability to interface with Senior Management.
- Strong facilitation skills.
- Strong communication, organization, and management skills.
- Strong time management and interpersonal skills.
- Ability to prioritize in a fast-paced environment.
TOTAL REWARDS- This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending and HSA accounts; paid holidays; paid time off; paid volunteer days; employee assistance program; tuition assistance; parental leave; military leave assistance; QTS scholarship for dependents; wellness program, and other company benefits.
- This position is equity eligible.
SKILLS (FROM SKILLS LIBRARY)- Written Communication
- Oracle Communication
- Change Management
- Attention to Detail
