Responsibilities
- Generate comprehensive reports and
visualizations to effectively communicate findings and insights to HR
stakeholders.
- Develop and implement the analysis,
reporting and quality control of HR service delivery.
- Design and implement HR-relevant
dashboards and KPI monitoring tools to facilitate informed
decision-making.
- Identify and extract appropriate data
sources for analytics projects from HR-related tools and systems (i.e.,
corporate tools related to talent acquisition, staff benefits and
entitlements, Customer Relation Management Systems, other HR functions).
- Lead the data Quality Assurance and
Enhancement processes, through review and assessment of the quality of HR
data across various systems and sources.
- Implement robust data cleaning and
validation procedures to maintain data accuracy and consistency.
- Collaborate with data engineers and data
scientists to optimize data flows, enhance data quality, and drive
continuous improvement.
- Produce a diverse range of HR reports and
statistical analyses crucial for billing purposes and strategic
decision-making.
- Develop and implement databases, data
collection systems, data analytics and other strategies that optimize
statistical efficiency and data quality.
- Identify, analyze, and interpret trends
or patterns, using machine learning techniques for trend analysis and
predictive modelling.
- Utilize statistical techniques and
predictive modeling to forecast future HR trends and outcomes.
- Collaborate with HR business partners to
translate analytical insights into actionable strategies for talent
management and workforce planning.
- Diversity and inclusion analytics.
Evaluate diversity and inclusion metrics, such as representation,
geography, gender parity and employee demographics. Identify disparities
and gaps in representation across various demographic groups. Collaborate
with HR and Diversity & Inclusion teams to develop strategies for
fostering a more inclusive workplace culture.
- Assist other functional areas with KPI
and dashboard-related matters to ensure alignment with organizational
goals.
- Lead a team of senior assistant data
analysts, providing guidance and support to drive team success.
- Perform other duties as assigned to
support the overall objectives of HRMS.
Competencies and Qualifications
Education
- Advanced university degree (Master’s
degree or equivalent) in computer science, data science, analytics,
statistics, information management, public administration, management or a
related field. A first-level university degree in combination with two additional
years of qualifying experience may be accepted in lieu of the advanced
university degree.
Work Experience
- A minimum of five (5) years of
progressively responsible experience in applied analytics, business
intelligence, information management, statistics, project management,
stakeholder management or related area is required. A minimum of three (3)
years of experience developing HR dashboards is required. Experience with
self-service analytics and data visualization applications (MS PowerBI,
Qlik, Tableau or similar) is required. Knowledge of business intelligence
tools (SAP Business Objects, etc.) is required. A minimum of three (3)
years’ experience working with Customer Relations Management tools is
desirable. Experience in tools managing version control such as Git is
desirable. Experience with database or programming languages (SQL, Python,
R) is desirable.
How To Apply
