Job Description
Business & Data Analysis
· Working closely with business stakeholders to gather, analyze, and document requirements for the data repository project from each finance department to understand data sources, business requirements, and reporting needs.
· Partner with Finance, HR, and ITS stakeholders to understand business processes, data definitions, and reporting needs
· Translate business requirements into functional and technical specifications for data ingestion, transformation, and consumption
· Creating and leading systems requirement documentation standards, including Use Case modeling, User Story creations and narrative description.
· Collaborating with the data architect to ensure the planned data repository meets UC Finance business requirements.
Data Lake & System Integration
· Serve as a key contributor to the design and evolution of an AWS-based data lake architecture
· Work closely with data engineers and architects on integrations using AWS services such as Glue, Lambda, S3, Athena, Lake Formation, and QuickSight
· Conducting data profiling and data quality analysis using SQL and Python.
· Developing and maintaining mapping documents and source-to-target specifications.
· Support API-based, batch, and event-driven integrations across enterprise systems
Delivery & Cross-Functional Collaboration
· Act as the primary liaison between business stakeholders, data engineering, analytics, and ITS team
§ Participating and leading backlog refinement, sprint planning, daily stand-ups, and retrospectives.
§ Creating test plans, execution of unit testing, and UAT activities for data and integration initiatives.
§ Ensure solutions align with institutional priorities, data governance standards, privacy requirements, and compliance obligations
§ Communicating technical information to technical and non-technical personnel at various levels within an organization.
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Governance, Security & Documentation
· Support data governance practices, including data definitions, lineage, access controls, and auditability
· Ensure appropriate handling of sensitive financial and payroll/personnel data (PII/PHI where applicable)
· Produce clear, thorough documentation including requirements, data models, process flows, and test scenarios
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Required Qualifications
§ Bachelor’s or master’s degree in computer information system, Data Analytics, Computer Science, Engineering, or a related field.
§ 7+ years of experience as a Business Systems Analyst or a similar role, preferably in data-centric environments.
§ Solid understanding of AWS data services (Glue, Lambda, S3, QuickSight or similar)
§ Strong experience with financial systems, including budge and planning, payroll, and personnel data
§ Proven experience supporting data integration and analytics platforms, preferably in a cloud environment
Preferred Qualifications
§ Experience in higher education, specifically finance subject area or other complex enterprise environments
§ Understanding of data governance and concepts such as data architecture, data security, and data quality.
§ Knowledge of data visualization tools such as Tableau or Power BI
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.