Data Integrity Analyst / University Development Researcher I

Michigan State University
East Lansing, MI, United States
3 days ago
Apply on careers.pageuppeople.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Microsoft Word Microsoft Excel Databases Data Integrity Microsoft Desktop Optimization Pack Distributed Data Store IBM Cognos Business Intelligence Information Sciences Software Engineering Data Management

Job description

As a valued member of the University Advancement (UA) Prospect Development Team, the Data Integrity Analyst will work closely with UA partners to manage/maintain the data integrity of prospect and proposal activity in support of Michigan State University. Utilizing systems and business processes, the Analyst will assist in managing prospect and proposal data and producing, documenting, and delivering timely, accurate, and complete reporting to members of the UA team. The role includes inspecting, cleaning, transforming, and maintaining UA’s CRM to help ensure accurate and relevant data to support UA staff. The Analyst will be responsible for learning and maintaining detailed knowledge of the business rules governing management of prospect-related records., * Work closely with the Prospect Development Team to make any assignments, continuum stage, proposal, or other standard prospect management updates within UA’s CRM. This includes management of sunsetting assignments/proposals and strategy records.

  • Review and perform initial validation on new wealth screening results and work with PD Consultants for additional validation and to update wealth ratings within the UA CRM.
  • Responsible for learning, maintaining, and applying detailed knowledge of the business rules governing management of prospect-related records.
  • Tools: Effectively use UA’s CRM, Cognos Reports, Microsoft Excel, and subscription databases and online research resources.

Data Management and Integrity -

  • Manage the integrity and accuracy of all prospect and proposal data, ensuring compliance with Advancement policies and guidelines.
  • Monitor prospect and proposal stage migration, through audit reports, to help ensure prospects are managed effectively and moved through the development cycle as appropriate.
  • Collaborate with UA Training Services to identify data integrity issues that suggest the need for UA staff training or re-training.

Customer Service and Special Projects -

  • Work on special projects as defined in collaboration with the Director, AVP for ASI, and University Advancement Management.
  • Other duties as assigned.

Communications/Interpersonal Relationships

Interacts with:

  • Staff/Co-workers - in order to assist with questions and problems relating to coding, data entry and office procedures
  • Supervisor - in order to ask questions pertaining to work being performed, receive direction and training and to assist in meeting deadlines
  • System Analyst/Programmers - in order to verify information if problems arise pertaining to computers or programs
  • Other Departments - in order to enter data and programs jobs as requested
  • Public - in order to provide services

Responsibility for Health/Safety of Others

No assigned responsibility

Impact on Programs/Services/Operations

Error in the accuracy of collected or distributed data could cause incorrect decisions to be made by departments, University officials and/or external customers. The quality of the work performed reflects upon the image of the Department, its staff, and the University as a whole. Errors are usually detected and easily corrected.

Work Environment

Standard office environment. The job requires moderate physical effort and involves sitting and viewing a VDT screen and eye/hand coordination more than 75% of the time.

Requirements

Knowledge equivalent to that which normally would be acquired by completing a four-year college degree program in Business, Journalism, Pre-law, History, Psychology or Information Science or related field; one to three years work experience in research methods including on-line electronic searching, large main-frame databases, and PC-based software; or an equivalent combination of education and experience., * Strong working knowledge of Microsoft Desktop Tools (Word, Excel, etc.).

  • Ability to manage, prioritize, and perform multiple tasks in a professional manner with attention to accuracy and detail.
  • Ability to effectively communicate both orally and through e-mail to respond and resolve any concerns or issues with other University Advancement Staff positively and professionally.
  • Willingness to learn new skills or technologies.
  • Ability to evaluate potential changes in process or procedure and embrace changes which emerge as applicable.
  • Knowledge of best practices in data management.
  • Strong ability to organize, prioritize, work independently and exercise good judgment in making decisions regarding data management within the established business governance rules.
  • Strong analytical and problem-solving skills.
  • Ability to handle confidential material with complete discretion.
  • Familiarity with the CRM platforms.
  • Ability to provide exceptional customer service willingness and ability to take initiative.
  • Be flexible, learn quickly, and function as a member of a team with common goal of team success.

About the company

MSU strives to provide a flexible work environment, and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on careers.pageuppeople.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:55 min

Maintaining software and data integrity during execution

Christian Wenz Christian Wenz · World Congress 2026 Europe

3:58 min

Mitigating diverse browser quirks and unsupported clipboard metadata formats

Markus Over Markus Over

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

4:47 min

Navigating data integrity and unpredictable generative AI outputs

Maish Saidel-Keesing Maish Saidel-Keesing · World Congress 2025

2:59 min

Utilizing live captions for context in video meetings

Florian Margaine Florian Margaine · Europe 2026 Virtual

Videos

See all

Related articles

See all