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
PROFESSIONALISM: Excellent analytical skills with the ability to collect, organize, manage, and disseminate significant amounts of information with attention to detail and accuracy. The ability to analyze, model and interpret data in support of decision-making, and convey information succinctly to management. Adept at queries, report writing and presenting findings. Ability to quality-check work completed by other team members. Takes pride in the work for the organization and understands the impact that can be brought into the organization by allowing data-driven and evidence-based decisions. Ability to apply judgment in the context of assignments given, plan own work and manage conflicting priorities. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter. Is conscientious and efficient in meeting commitments, observing deadlines and achieving results. Is motivated by professional rather than personal concerns. Shows persistence when faced with difficult problems or challenges. Remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work.
ACCOUNTABILITY: Takes ownership of all responsibilities and honours commitments. Delivers outputs for which one has responsibility within prescribed time, cost and quality standards. Operates in compliance with organizational regulations and rules. Supports subordinates, provides oversight and takes responsibility for delegated assignments. Takes personal responsibility for his/her own shortcomings and those of the work unit, where applicable.
CLIENT ORIENTATION: Considers all those to whom services are provided to be “clients” and seeks to see things from clients’ point of view. Establishes and maintains productive partnerships with clients by gaining their trust and respect. Identifies clients’ needs and matches them to appropriate solutions. Monitors ongoing developments inside and outside the clients’ environment to keep informed and anticipate problems. Keeps clients informed of progress or setbacks in projects. Meets timeline for delivery of products or services to client.
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.
Apply via :
careers.un.org
