USC
is hiring
Data Analyst
About Our Company
The University of Southern California is a leading private research university located in Los Angeles, the capital of the Pacific Rim.
Job Description & Responsibilities
The Data Analyst, Talent Acquisition will support the Talent Acquisition team by gathering data, developing reports and leveraging analytics across the recruiting cycle to inform recruiting strategies and identify process improvement opportunities. This role will apply an understanding of the end-to-end recruiting cycle and key talent acquisition metrics (e.g., time to fill) in order to help recruiting teams improve processes and leverage insights to better tailor their recruiting strategy to their assigned units. The Data Analyst, Talent Acquisition will help maintain strong day-to-day recruiting performance by completing regular audits of requisitions, ensuring they are closed on time and that recruiting processes are compliant. This individual must understand the recruiting lifecycle and drive data driven decision making and change as needed to provide a world class experience. This role will help enable USC’s vision while championing USC’s culture and values.
This opportunity is predominantly remote with periodic onsite meetings required through the year.
The candidate for the position of Data Analyst, Talent Acquisition will be responsible for:
- Mining, monitoring, and analyzing talent acquisition metrics (e.g., time to fill, candidate diversity) to make recommendations for TA process improvements. Understand business requirements to produce regular reports, then implement, test, and deploy reports from Workday that provide insights such as what positions have been filled quickly and what positions are still open so that recruiting teams can adjust workloads as needed.
- Possessing an understanding of USC’s Talent Acquisition function and how recruiting insights enable the function’s success in supporting university units.
- Conducting data analyses and identifying recruiting trends by unit to enable recruiting teams to make data-driven decisions for the units they serve. Using data to identify criticality and type of hires for a unit (e.g., volume hire, high priority role) so that tailored recruiting strategies can be planned accordingly. Serving as a reliable colleague, keeping managers informed and updated with clearly and simply explained data-driven information and accurate work outputs.
- Maintaining a responsive line of communication with the Talent Acquisition team . Attentively listening to others’ data needs and providing accessible analytics, reports, and presentations to better enable recruiting processes. Working closely with Talent Acquisition team, recruiters , HR Partners, and hiring managers to leverage talent acquisition data to enable better recruiting practices and tailored workforce planning for a given unit.
- Actively seeking opportunities to continuously improve the talent acquisition lifecycle (including technology and processes). Maintaining currency with leading practices, technologies, and trends in data analytics and talent acquisition. Adapting programs, projects, initiatives, activities, and behaviors real-time in response to feedback and data. Troubleshoot Workday dashboards, reports, security, and data quality issues.
- Demonstrating sound judgment in ranking competing priorities. Utilizing creativity to present solutions to challenges. Escalating roadblocks or issues to appropriate colleagues. Recommending long-term strategies to improve and diversify the overall talent pool of the university based on data analyses. Ensuring the team practices good requisition management and compliance by auditing open requisitions and working with recruiting teams to close requisition in a timely manner once a position is filled.
- Championing the university’s culture and values throughout the acquisition experience. Promoting an environment that fosters inclusive relationships and creates unbiased opportunities for contributions through ideas, words, and actions that uphold principles of the USC Code of Ethics.
- Innovating and evolving all talent acquisition reports and analytics in alignment with HR and university strategy. Demonstrating, through words, actions, and ideas, alignment to USC’s strategic plan and the HR organization’s strategic plan. Enabling the university to fulfill its academic and people missions through enhanced HR service.
- Performing other related responsibilities as requested and when necessary. The university reserves the right to add or change duties at any time.
Requirements
Minimum Qualifications
The candidate for the position of Data Analyst, Talent Acquisition must meet the following qualifications:
- Extensive applicable experience in talent acquisition, human resources, project management, business administration, or another related field.
- Three or more years of experience in one or more of the following fields: human resources, talent acquisition, or data analytics.
- Experience in end-to-end talent acquisition such as sourcing, screening, selecting, hiring, and onboarding for candidates.
- Ability to gather and organize data to drive important decision-making discussions, including reporting, and presenting findings after analyzing information.
- Ability to tailor written and spoken communication based on audience.
- Ability to provide a proactive approach for solutions when next steps are ambiguous.
- Experience drawing insights and trends from data and leveraging data to inform decision making.
- Ability to own and generate talent acquisition metrics, process documentation, and data dictionaries.
- Ability to translate meaning, identify issues and make process improvement recommendations.
- Ability to collect, aggregate, and clean data from a variety of resources at scale.
- Ability to exercise discretion with confidential information.
- Ability to support concurrent projects, prioritize competing assignments, and work under pressure with tight deadlines and frequent interruptions.
- Ability to understand and work with large, complex systems.
- Excellent interpersonal skills, emotional intelligence, and relationship-building abilities.
- Expertise with Microsoft Office applications (Word, Excel, Outlook, PowerPoint).
Preferred Qualifications
The ideal candidate for the position of Data Analyst, Talent Acquisition has the following qualifications:
- Bachelor’s degree in data science , business, finance, or another related field.
- Five or more years of experience in one or more of the following fields: data analytics, human resources, or talent acquisition.
- Experience with Workday report development.
- Experience with Workday calculated fields and knowledge of Workday business objects.
- Experience in the Workday Recruiting module.
- Experience in higher education.
- Experience prioritizing client needs and addressing feedback to improve TA process.
- Proven experience leveraging talent acquisition data to improve the process end-to-end.
- Ability to use sound judgment in making decisions with minimal supervision.
- Utilize data to appropriately identify our top talent issues while also thinking creatively of how to address them with scalable solutions.
- Strong analytical skills with experience in modeling and reporting (advanced Excel required), with proven ability to both design and audit data models and reports independently.
- Engage with stakeholders across the organization to support new strategies and share the progress and learnings from the TA team.
- Experience with data visualization tools (Tableau, Power BI, or similar application(s)).
- Experience gathering information with Python (or similar language(s)).
What we offer
The annual base salary range for this position is $74,856.81-$85,000. 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.