Rutgers University is hiring: Data Analyst Operations Associate in New Brunswick

Associate Data Analyst Staff & Executive - Information Technology UFA Data Analytics Rutgers, The State University of New Jersey, is a leading national research university and the State of New Jersey's preeminent, comprehensive public institution of higher education. As one of the largest employers in the State of New Jersey, Rutgers University is committed not only to the students and the State that we serve, but also to the faculty and staff who work on our campuses. Ranked in 2022 by Forbes as a top 100 best large employer in America, Rutgers' commitment to its employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation's military veterans, and ensuring accessibility and accommodation for individuals with disabilities. University Finance and Administration (UFA) advances Rutgers' strategic priorities through the management of all central financial, administrative, and student information systems and processes. We supply the university's financial community the professional guidance, services, tools, and information needed to make the informed decisions that contribute to Rutgers' standing as an academic, health, and research powerhouse. We are deeply committed to our guiding principles and the core values that are critical for the long-term strategic growth of our division and the university. Rutgers University seeks an Associate Data Analyst for the University Finance and Administration. This position will provide support by preparing, integrating, and validating data for accurate and reliable reporting. Reporting to the Senior Manager, UFA Data Analytics, this role collaborates across departments to deliver trusted data solutions that support accurate reporting and operational effectiveness. In addition to data management responsibilities, the role supports operational reporting needs across UFA, including Tableau-based reports and ERP reporting. Assist in gathering, preparing, and curating data from multiple sources, including ERP systems, databases, and external datasets, to support reporting and analytical use. • Collaborate with stakeholders across the university, including subject matter experts, OIT partners, business managers, campus leaders, and University Finance units, to understand reporting needs and ensure data solutions meet business requirements. • Assist in developing and maintaining workflows for data acquisition, validation, transformation, and integration. • Create and maintain operational reports, including Tableau-based reporting and selected ERP reports such as FRS, OTBI, BI Publisher, and Smart View. • Apply data quality checks to remove inaccuracies, duplicates, and inconsistencies, and perform data validation to identify and resolve data quality issues. • Support data integrity, security, and appropriate access within data environments. • Support the creation and maintenance of data pipelines and integration workflows using SQL, Python, and related tools. Use cloud-based data tools (e.g., OCI, Azure) as needed for data processing and analysis. • Ensure compliance with data governance standards and maintain metadata, data definitions, data lineage, and transformation documentation. • Provide technical support related to data sources, data quality, and reporting workflows. • Create, maintain, and update technical and non-technical documentation for data assets and reporting solutions. • Stay current with best practices in data management, data engineering, and reporting to support continuous improvement. • Identify and implement opportunities to improve data processes, workflows, and reporting efficiency. • Support data literacy initiatives and assist stakeholders with data sources, reporting workflows, and data quality processes. • The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Medical, prescription drug, and dental coverage • Paid vacation, holidays, and various leave programs • Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options • Life insurance coverage • Full Time Daily Work Shift Union Description Administrators Confidential Payroll Designation PeopleSoft Seniority Unit Position Pension Eligibility Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business Administration, or a related field, and at least two (2) years of experience as a data analyst or in a similar role. • A master's degree in a related field may substitute for the experience requirement. Proficiency in SQL and Python for data preparation, transformation, and automation of ETL workflows. • Experience with Tableau Prep for data preparation and workflow development. • Proficiency in Excel. • Proficiency with Tableau to support operational reporting. • Understanding of data modeling concepts, governance compliance, and ability to maintain data lineage and metadata documentation. • Familiarity with pipeline orchestration and cloud platforms (OCI, Azure, or equivalent) for data integration and storage. • Experience using SQL Server tools such as SSIS and Visual Studio for data transformation, ETL development, and workflow automation. Strong problem-solving skills to diagnose data quality issues, inconsistencies, and source-system discrepancies. • Experience with Higher Education and Finance data. Exposure to ERP reporting tools such as FRS, OTBI, BI Publisher, and Smart View. • Familiarity with Oracle Analytics Cloud. • Exposure to data engineering best practices for pipeline optimization and data validation. Equipment Utilized • SQL Server, SSIS, Visual Studio, Tableau (including Tableau Prep), Oracle ERP reporting tools (FRS, OTBI, BI Publisher, Smart View), Python, cloud platforms such as OCI or Azure, and standard office software. Rutgers University-New Brunswick Immunization Requirements Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination. It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. For additional information please see the Non-Discrimination Statement at the following web address: