The HR data specialist is accountable for the design and delivery of meaningful HR data and analytics in support of HR strategic initiatives and overall objectives. The HR data specialist is accountable to design and build technical reporting solutions that support and enhance HR’s mandate, support business unit decision making and ensure data is stored, collected, and integrated efficiently, aligned with quality and privacy guidelines. The role has a holistic mandate for HR data architecture and data modelling in conjunction with Information Systems Technology (IST).
There are 2 positions available.
Design of HR data infrastructure
Work across HR technology areas to identify and resolve complex and high-impact issues related to data inter-dependencies between systems
Design, develop, test, deploy and maintain custom Workday reports, integrations, and dashboards
Build Workday Calculated Fields to derive the appropriate data to support the configuration of Business Process Conditions, Eligibility Rules and integrations and to support advanced reporting
Design technical data marts and data sets to simplify the extraction of data for the people analytics specialist (s), business analysts (s)
Build relationships with HR Subject Matter Experts and campus stakeholders to understand their data landscape and business priorities; analyze business requirements against Workday/PowerBI reporting capabilities
Design, and configure reporting and data application security to meet business data requirements
Support the integration of data from multiple systems and databases to develop the back end of reports and analytics for dynamic reporting
Support HR’s relationship with Institutional Analysis and Planning (IAP) and IST while continuing to assess ways to streamline and consolidate employee information
Research and provide recommendations on reporting and analytics tools that are most effective in meeting the reporting and analytics mandate including back end architecture and use cases
Develop solutions that ensure the institution is maximizing its ability to automate and exploit data from all HR technologies as efficiently as possible
Support the creation of integrated reports with Finance, HR and student reporting teams to advance the institution’s integrated platform
Manage the design of the HR data architecture, data exploitation, including the business and technical integration of the solutions
Execute data integrity and quality initiatives
Conduct audits and data remediation efforts to increase / maintain data quality and compliance
Partner with internal teams to identify and document areas for improvement for data quality, process efficiencies/effectiveness, while making recommendations to automate or streamline data entry/collection processes to ensure the highest data integrity
Identify data challenges and reconcile gaps/overlaps/contradictions within data sets while investigating methods for improving data collection and processes ensuring compliance with HR data quality standards and HR’s overall needs
Support all system data conversions, EIB’s (Workday) and configuration changes to ensure that data integrity remains intact and reportable
Design audit reports to track variances to standard processes while working with subject matter experts and the HR technology team to address any deviations from standard practices
Maintains, troubleshoots and ensures data integrity of HR systems
Support the design and implementation of statistical analyses and predictive modelling aligned with the HR analytics road-map
Apply data analysis and research skills to identify key indicators and develop predictive modeling for key employee life cycle events
Use statistical analysis to identify correlations and causal factors, and test arguments against historical data sets
Turn data-based observations and insights into hypotheses through analytical rigor, leading to tests that will confirm or deny those hypotheses
Apply methods to test significance, representability, and validity of data and relationships
Mine and analyze large volumes of workforce data from a variety of sources using statistical and advanced analytical techniques
Data Governance and Privacy
Provide detailed information and advice on privacy legislation, and university policies, as it pertains to the storage and distribution of HR data to the Director, HR Projects, Technology and Analytics to inform the university community including staff, faculty, departments, and external stakeholders
Participate in the development and enhancement of processes and procedures to monitor, improve, and audit data privacy guidelines, data access, usage and distribution of HR data
Design and execute employee surveys
In alignment with the HR analytics framework, create, execute and analyze employee based surveys including, but not limited to, HR satisfaction, exit and new hire surveys
Research and analyze survey data to identify trends, uncover potential issues and work with the Director of HR Projects, Technology and Analytics to develop recommendations
Collate, analyze, manipulate, mine and interpret quantitative and qualitative data
Prepare presentations to present the data to the HR leadership team and committees as requested on campus
Contribute towards new development and/or enhancement of HR analytics practices, tools, methodologies and processes
Identify opportunities to leverage HR technologies to promote self-service analytics and access to data to drive decision making
BA / BS in Computer Science, Math, Human Resources or social sciences or equivalent experience and education
3-5 years of experience performing significant business, financial and people analytics data analysis and report development
3+ years working directly with internal and external stakeholders to gather requirements and provide/create proof of concepts reports/dashboards based on user requirements
Strong organizational and multi-tasking skills with the ability to balance competing priorities in a fast-paced environment
1-2 years experience gathering business requirements and requirements documentation
Experience with data governance and privacy is highly preferred
Knowledge of Workday and Workday HCM business processes is required
Advanced analytical and data mining skills
Knowledge of project management and business analysis techniques
Knowledge of data governance and privacy standards for HR data at the subject matter expert level
Statistical modelling experience with exposure to predictive techniques
Proficient knowledge of enterprise systems including relational and object based models
Strong quantitative and qualitative analytical abilities
Proven experience using data to tell compelling stories to drive decision making at all levels
3+ years of experience in a role using Microsoft Excel and statistical analysis tools
Excellent oral communication skills; comfort working directly with senior leaders and engaging technical peers
Vaccination Requirement Statement:
Effective May 1, 2022, the University suspended its Vaccination Requirement. Prior to May 1, pursuant to this Requirement, all University employees were required to submit proof of full vaccination against COVID-19 (subject to the University’s obligations under the Human Rights Code to accommodate employees who were unable to receive a vaccination). The University’s Vaccination Requirement website can be found here: https://uwaterloo.ca/coronavirus/return/vaccination-requirement.
The pandemic is ongoing and public health advice continues to evolve. Accordingly, the University reserves the absolute right to reinstate the Vaccination Requirement on short notice, and upon such reinstatement you will be required to comply. You shall also be required to comply with any new health and safety policies/requirements implemented by the University from time to time, including new policies/requirements related to mandatory employee vaccination. As the University may need to reinstate the Requirement on short notice, it will continue to collect and maintain up-to-date information on employee vaccination status. Please submit your Covid-19 vaccine status (QR code) to: https://checkin.uwaterloo.ca/
Failure to comply with the Vaccination Requirement if it is reinstated, including failure to comply with any future amendments to the Vaccination Requirement, or failure to comply with new health and safety policies/requirements implemented by the University, including those related to new mandatory employee vaccination, shall result in discipline up to and including termination of employment.
The requirement to be vaccinated, if reinstated, will be subject to the duty to accommodate pursuant to the Human Rights Code. If you are unable to be vaccinated for reasons related to a ground protected under the Human Rights Code, you may submit a written request for accommodation with an explanation of the reasons and/or any supporting documentation. If you request accommodation, the University may follow up with you for further information if necessary.
The University of Waterloo is committed to implementing the Calls to Action framed by the Truth and Reconciliation Commission. We acknowledge that we live and work on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. The University of Waterloo is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River.
The University values the diverse and intersectional identities of its students, faculty, and staff. The University regards equity and diversity as an integral part of academic excellence and is committed to accessibility for all employees. The University of Waterloo seeks applicants who embrace our values of equity, anti-racism and inclusion. As such, we encourage applications from candidates who have been historically disadvantaged and marginalized, including applicants who identify as First Nations, Métis and/or Inuit/Inuk, Black, racialized, a person with a disability, women and/or 2SLGBTQ+.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
The University of Waterloo is committed to accessibility for persons with disabilities. If you have any application, interview, or workplace accommodation requests, please contact Human Resources at email@example.com or 519-888-4567, ext. 45935.