This individual is a key member of USNH’s Center for DATA and provides technical expertise in support of USNH’s business intelligence initiatives. The team is responsible for Workday Reporting, data warehousing, data pipelines, and analytics solutions. This position will be responsible for designing, developing, implementing, and maintaining business intelligence initiatives to support the institution’s strategic objectives and mission. This position can be fully remote.
Duties/Responsibilities
Provide senior-level business and systems analyst and technical expertise during all phases of data mart/business intelligence lifecycle.
Participate in data mart and business intelligence development efforts.
Participate in architecture of data mart/business intelligence projects.
Work with analysts, programmers, business process owners, and end-users to determine scope and requirements for data mart/business intelligence solutions.
Perform analysis, database and meta-data modeling, and establish logical and physical design for reporting solutions.
Develop technical infrastructure for data mart/business intelligence initiatives.
Develop reports and business intelligence solutions to meet key business needs for critical administrative systems.
Provide senior level guidance to other staff with report development questions and provide mentoring on report development approaches.
Lead mid-sized to large technical and business intelligence projects.
Provide operational support for business intelligence solutions and respond to changes required by upgrades, regulatory requirements, etc.
Other duties as assigned.
Requirements
Minimum Acceptable Education & Experience
Bachelor's degree and six years of experience in information technology field, Master's and four years, or combination of education and experience equal to ten years.
Knowledge, Skills, & Abilities
Demonstrated experience with Workday reports (matrix, advanced, and composite) and data export. Experience with Workday security model and Business Objects. Experience with Workday HCM/FIN and/or Student.
And/or
Demonstrated experience in data warehousing and data mart technologies and concepts, supporting relational databases, business and systems analysis for business intelligence efforts, data warehouse development, data pipelines, Python, and SQL. Experience with data clouds and data lakes. Experience with Microsoft Fabric.
And/or
Demonstrated experience with SAP BusinessObjects universes as well as data visualization tools, such as PowerBI.
Other Requirements
Ability to lead technical projects.
Excellent communication skills and ability to work with both technical and non-technical clients.
Preferred Qualifications
Experience with higher education information technology systems.
Applicant Instructions:
Applicants should be prepared to upload the following documents when applying online within the My Experience: Resume/CV section of the application: (Maximum of 5 Documents)
Resume/CV
Cover Letter
Applications that are missing any of the required items may not move forward for consideration. Additional uploaded documents not requested in the position announcement will not be reviewed.
EEO Statement
The University System of New Hampshire is an Equal Opportunity/Equal Access employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.
Compensation Pay Range:
$69,560.00 - $124,580.00The pay range for this position is listed above. Actual offer will be based on skills, qualifications, experience, and internal equity, in addition to relevant business considerations. More information on benefits can be found here: USNH Employee Benefits | Human Resources
Location:
ConcordSign in to browse authentic reviews, anonymous ratings and salary data before you apply.