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Data Engineer, Advancement Information Services

at Loyola University Of Chicago in Chicago, Illinois, United States

Job Description

Position Details


Position Details
Job Title 
 Data Engineer, Advancement Information Services
Position Number 
 8102744
Job Category 
 University Staff
Job Type 
 Full-Time
FLSA Status 
 Exempt
Campus 
 Chicago-Water Tower Campus
Department Name 
 DEVELOPMENT & DONOR SERVICES
Location Code 
 DEVELOPMENT & DONOR SERVICES (03635A)
Is this split and/or fully grant funded?  
 No
Duties and Responsibilities 
 Loyola University Chicago Advancement Operations seeks a Data Engineer to serve as a key member of Information Services and Reporting (ISR) team to support key fundraising activities. The Data Engineer reports to the Director of Information Services and Reporting and serves as the technical translator between end users of Advancement technology and data and the internal / external resources for these services.

 

Data Warehousing / ETL Support (50%)


Analyze complex sets of data for the purpose of extracting and purposefully using applicable information to inform business decisions and processes.
Designs, develops, documents, and implements data solutions (ETL pipelines, tools, datasets, etc.).
Mentor analysts and run internal workshops on best practices, serving as a resident expert in data models and statistical analysis within the Advancement office.
Monitors and troubleshoots solutions - correcting failures, security, and performance issues in a timely manner.
Perform data manipulation, statistical applications, programming, analysis and modeling in order to implement projects related to Advancement's internal data systems (Ellucian Advance AWA) and external sources.
Perform data/technology discovery from new sources and third-party applications for data ingestion.
Performs data profiling and analysis, data cleansing and validation in support of data solutions.
Provides advanced technical support for production applications and dataflows.
Tests and promotes work packages between non-production and production environments both independently, and with team members.
Within ETL and data warehouse work, familiarity with expansion of snapshot tables and/or implementation of slowly changing dimension (SCD) type 2 methodology.

 

 

Database Optimization (30%)


Acts as the technical lead on critical CRM workstreams including, but not limited to Information Delivery and Integrations.
Addresses TR1 and TR2 data migration exceptions.
Assist in post-launch stabilization of Salesforce Ascend, Constituent Portal, etc.
Participates in guided and independent testing sessions as deemed necessary.
Partners with Information Technology Services (ITS) on the development and evolution of an Advancement Salesforce Data Warehouse (SFDW).
Serve as a key member of Advancement Operations by providing technical knowledge and support of existing database practices, process flows, and reporting.

 


Business Support (15%)


Assist with creating complex reports and dashboards using Power BI, Tableau and/or SSRS to internal users and teams.
Collaborates with stakeholders (internal technical and business teams) to understand processes and data requirements, updating Standard Operating Procedures (SOPs) as needed.
Execute processes to run and evaluate the Information Services and Reporting (ISR) team's suite of data audit reports, correcting data errors programmatically when possible (i.e., when a manual review is not needed).
Projections/forecasting for Fundraising Progress (FRP) and Campaign Progress.
Serves as a key contributor of the Advancement Operations Data Quality Task Force (DQTF).


Other Duties as Assigned (5%)


Performs other related duties as assigned.


This position is based in our Chicago (Lewis Towers) office, with the opportunity to work from home in the greater Chicago area. On occasion, an in-office presence in the Lewis Towers office may be required.
Minimum Education and/or Work Experience 
 Bachelor's degree in Business, Management Information Systems, Computer Science, or a related field, or an equivalent combination of experience and training.

Three or more years of experience in Data Integration, Big Data, or Business Intelligence required.
Qualifications 
 Minimum Education and/or Work Experience
Bachelor's degree in Business, Management Information Systems, Computer Science, or a related field, or an equivalent combination of experience and training.
Three or more years of... For full info follow application link.

Loyola University Chicago is an Equal Opportunity / Affirmative Action employer with a strong commitment to hiring for our mission and diversifying our faculty and staff. All qualified applicants will receive consideration for employment without regard to race, color, religion (except where religion is a bona fide occupational qualification for the job), national origin, sex, age, disability, marital status, sexual orientation, gender identity, protected veteran status or any other factor protected by law.

Loyola University Chicago is an Equal Opportunity Employer.

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Job Posting: 11818582

Posted On: Apr 09, 2024

Updated On: Apr 25, 2024

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