Primary Work Location:

50 Washington Street, Westborough, MA; Hybrid schedule

Job Summary:

• Coordinate the development of analyses and reporting capabilities of the Unified Procurement Services Team and other A&F departments as required.
• Support with the development and implementation of the Data Analytics strategic objectives of all departments supported.
• Monitor performance and quality control plans to identify improvements.
• With guidance and requirements from product owners and stakeholders, work closely with the IT department and other A&F departments to build actionable reporting and presentations
• Responsible for designing and creating intuitive and insightful visual dashboards that vividly express metrics and KPIs.
• Supports Director, Service and Quality with daily operations of the Data and Analytics team.
• Advises campus and other UMPO A&F departments on data and reporting needs.
• Drives resolution of complex data and analytics issues as assigned by the Director, Service and Quality.
• Design visually interactive and actionable dashboards using data visualization tools.
• Analyze and understand data and identify data issues and anomalies, document them and work with IT professionals to put processes in place to correct them.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Develop and implement predictive models and leverage machine learning techniques to identify trends, optimize processes, and generate actionable insights that support data-driven decision-making.
• Interact and collaborate with cross-functional group across supply chain, IT, finance, product and others to design the best possible analytics solution.
• Understand the needs of managers and leadership to present the results that can be easily consumed and acted upon.
• Train and mentor interns and other direct reports as appropriate on internal staff processes and procedures and industry leading practices within the department.
• Attend trainings, professional development, and conferences to incorporate new tools and methods into data and analytics work.

Minimum Qualifications (Knowledge, Skills, Abilities, Education, Experience):

Employer will accept a Master’s degree (or foreign equivalent) in Mathematics, Economics, Computer Science, Information Management, Statistics, Business Analytics or related field and three (3) years of experience in the job offered or in a Senior Data Analyst-related occupation.

In the alternative, Employer will accept a Bachelor's degree (or foreign equivalent) in Mathematics, Economics, Computer Science, Information Management, Statistics, Business Analytics, or related field and five (5) years of experience in the job offered or in a Senior Data Analyst-related occupation.  

Position requires demonstrable experience in the following, which can be gained in a professional or academic setting:

• Demonstrated strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Demonstrated proficiency with queries, report writing, and presenting findings.
• Demonstrated strong knowledge and experience in writing complex SQL queries to extract, manipulate, and analyze large datasets from relational databases.
• Demonstrated advanced skills in creating interactive and visually compelling dashboards and reports that communicate data insights and findings clearly to business stakeholders.
• Demonstrated strong experience with Python or R, utilizing libraries including Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and predictive modeling.
• Demonstrated in-depth knowledge of statistical analysis, regression, and machine learning techniques for predictive modeling and data forecasting.
• Demonstrated ability to translate business requirements into data analysis solutions, effectively presenting findings to both technical and non-technical audiences.

Telecommuting permitted up to 60%.

Additional Details:

To apply, please send email to KBurke@umassp.edu referencing job code 22094.5.1.  

Rate of Pay: $109,325 per year