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USC is a leading private research university located in Los Angeles – a global center for arts, technology and international business. As one of the city’s largest private employers, responsible for more than $8 billion annually in economic activity in the region, we offer the opportunity to work in a dynamic and diverse environment, in careers that span a broad spectrum of talents and skills across a variety of academic schools and units. As a USC employee, you will enjoy excellent benefits and perks, and you will be a member of the Trojan Family - the faculty, staff, students and alumni who make USC a great place to work. Think you’ve got what it takes to join us? We invite you to search our open positions and apply!

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Assistant Director of Data Integrity

University Advancement Los Angeles, California

The University of Southern California (USC), founded in 1880, is in the heart of downtown L.A. and is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the "Trojan Family," which is comprised of the faculty, students and staff that make the university what it is.

University Advancement is committed to fostering a diverse, equitable, and inclusive culture in which all advancement staff and our stakeholders can connect, belong, and grow while supporting the University of Southern California’s mission, values, and goals.

University Advancement is seeking an Assistant Director of Data Integrity to join its Gift Services and Data Integrity team. University Advancement drives the university’s comprehensive efforts to build relationships with its philanthropic communities and to secure resources that ensure USC’s global leadership in higher education. Reporting to the Senior Director of Data Integrity, the incumbent will oversee data integrity technical aspects to ensure data quality, productivity tracking, project management related to data validation and enrichment protocol, and SOP/policy/training documentation and vendor management to support the data integrity function.

The ideal candidate should have the following qualifications:

  • Ability to communicate and connect with employees at all levels, as it is crucial to the qualified candidate’s success. 

  • Ability to synthesize information from multiple sources that can be used to make decisions, analyze data and report results, identify concerns related workflow efficiencies, and make recommendations for improvement, and implement changes recommended.

  • Proactive and detail oriented. Strong writing skills.

  • Demonstrated commitment to diversity, equity, inclusion, and belonging.

Responsibilities:

  • Oversee data integrity technical aspect to ensure data quality, productivity tracking, project management related to data validation and enrichment protocol, and SOP/policy/training documentation and vendor management to support the data integrity function.

  • Performs data analyses and assists in interpretation of results using a variety of techniques to support business practices. Works with management to obtain and identify analytical requirements. Researches best practices and develops benchmarks. Produces data collection methods (e.g., surveys, tests, etc.), and develops tools and processes to support analyses. Analyzes results, reviews data for anomalies, investigates to identify and determine cause, and corrects data inaccuracies and inconsistencies as necessary. Provides recommendations and conclusions gained from analyzing data.

  • Responsible for business-to-systems analysis and problem-solving analysis of complex management reporting and business issues. Utilizes statistical and quality management principles to report and initiate operational/business practices changes.

  • Generates summary and specified dashboard accounts which represent operational data in brief and intelligible format, suitable for the target audience, such as executive leadership, department managers and supervisors and other analysts.

  • Provides business data trend information to support recommendations for action.  Collaborates with management on matters of best practices, appropriate statistical measures and benchmarking. Provides management with suggestions, as appropriate.

  • Carries out quality assessment of data, data reports and the accompanying decisions. Conducts analysis of findings and offers action-driven recommendations and insights to executive leaders and managers on the basis of results.

  • Provides recommendations for decisions affecting business operations and strategic initiatives.

  • Provides guidance and assistance to business analysts, as needed. Reviews work of other analysts. Provides guidance and direction to staff and/or student workers related to business data analyses duties, as needed.

  • Performs trend and benchmarking analyses. Conveys such information to executive leaders.

  • Maintains currency with industry data analyses techniques, standards and related technologies.

Performs other related duties as assigned or requested. The university reserves the right to add or change duties at any time.

Minimum Qualifications:

  • Minimum Education: Bachelor’s degree. Combined experience/education as substitute for minimum education.

  • Minimum Experience: 3 years of related/relevant experience. Direct knowledge and experience in data modeling, data warehousing and reporting. Project management experience for complex projects. Demonstrated organizational, critical thinking, interpersonal, planning, problem solving, and business analytical skills. Can work at a high functional and technical level.

Preferred Qualifications:

  • Preferred Education: Bachelor’s degree in disciplines such as statistics, economics, mathematics, accounting, business, computer science, information science or management information science. Expert knowledge of Data Warehousing methods and Relational and Analytical data structures. Experience in designing managerial level presentations and reports. Outstanding skills in finding resolution to complicated problems while performing independently in a multifaceted environment.

  • Preferred Experience: 5 years of related/relevant experience. Expert knowledge of Data Warehousing methods and Relational and Analytical data structures. Impressive experience in designing managerial level presentations and reports. Outstanding skills in finding resolution to complicated problems while performing independently in a multifaceted environment.

Required Documents and Additional Information

Resume and cover letter required (may be uploaded as one file). Please do not submit your application without these documents.

The salary range for this position is $96,739 - $110,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations. 

USC has excellent benefits, including health benefits for staff & their family with access to the renowned university medical network; retirement plans with employer contributions when you meet Program's eligibility; tuition benefits for staff & their family; free professional development online courses; central Los Angeles location with easy access to commuter trains, buses & free tram pick up services; discounts to football, basketball & other campus events. 

The University of Southern California values diversity and is committed to equal opportunity in employment.


Minimum Education: Bachelor's degree Minimum Experience: 3 years Minimum Field of Expertise: Direct knowledge and experience in data modeling, data warehousing and reporting. Project management experience for complex projects. Demonstrated organizational, critical thinking, interpersonal, planning, problem solving, and business analytical skills. Able to work at a high functional and technical level.


REQ20134809 Posted Date: 06/04/2023

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