Expert, HR Analytics (40000441)

Job Purpose

We are seeking a skilled HR Data Analytics Expert to join our HRSM team and drive data-informed decision-making across all HR functions. This hybrid role combines the analytical rigor of a senior data analyst with the technical infrastructure capabilities of a junior data engineer, making it perfect for a data professional who thrives at the intersection of human capital insights and technical implementation. You will transform raw HR data into actionable intelligence that shapes our talent strategy, improves employee experience, and drives organizational performance. This position offers the opportunity to delivering high-impact analytics that directly influence business outcomes.

Key Accountabilities (1)

• Develop and implement strategic workforce plans aligned with business objectives, ensuring a data-driven approach that informs decision-making and optimizes talent management.
• Utilise advanced analytical skills and tools to conduct descriptive and diagnostic people analytics, providing clear insights into workforce trends and challenges.
• Partner with cross-functional teams including People Analytics and HR Leadership Teams to identify root causes of workforce issues, translating complex data into actionable business recommendations.
• Apply structured methodologies for analytical storytelling and change management, facilitating impactful organisational transformation through evidence-based strategies.
• Create executive-level reporting that combines compelling narratives with sophisticated data visualisations, crafted through expert presentation design and storytelling techniques.
• Continuously enhance reporting accuracy and effectiveness through agile feedback cycles and iterative improvements, striving for excellence in communication and data presentation.
• Lead high-level presentations and discussions with senior leaders, steering analytical conversations that influence strategic HR initiatives and organisational development.

Key Accountabilities (2)

• Address urgent ad hoc analytics and reporting requests from leadership with promptness and dedication, ensuring customer-centric service and effective partnerships.
• Promote and shape the evolving People Analytics vision by incorporating emerging technologies and methodologies to enhance data maturity within HR.
• Champion a culture that values analytical rigor and data-driven decision-making, supporting HR initiatives that deliver measurable business outcomes.
• Collaborate closely with HR Information Systems teams to optimise data collection processes, maintain data integrity, and leverage technology to support comprehensive workforce analysis.
• Conduct sophisticated analyses to uncover patterns and trends within people data, providing insights that guide talent strategies and organisational planning.
• Design and deliver impactful data visualisations that translate complex analytics into clear, accessible information for diverse stakeholders.
• Serve as the primary subject matter expert for people data and analytics, managing ad-hoc data requests with professionalism and technical expertise.

Key Accountabilities (3)

The role includes developing scalable data pipelines and automating data workflows, ensuring robust and efficient data infrastructure to support analytics needs.
Implement best practices in data governance and privacy, ensuring all analytics activities comply with organisational policies and relevant legislation.
Collaborate with HR and business leaders to identify key performance indicators and tailor analytics approaches that provide strategic insights impacting talent acquisition, retention, and development.
Lead initiatives to advance predictive analytics capabilities within People Analytics, exploring machine learning applications to anticipate workforce trends and challenges.
Continuously monitor analytics trends and innovations, integrating leading-edge techniques to enhance the organisation’s competitive advantage through data.
Foster an inclusive and collaborative work environment that encourages knowledge sharing, continuous learning, and cross-functional cooperation.

Key Relationships - Direct Manager

Reports directly to Director of Human Resources Shared Services Management (HRSM), collaborating closely to align analytics initiatives with overall HR strategy and business goals.

Key Relationships - Direct Reports

This position currently has no direct reports but involves significant collaboration with cross-functional teams and stakeholders for effective delivery of analytics projects.

Key Relationships - Internal Stakeholders

Works in partnership with various teams within the Human Resources Division, as well as other relevant divisions throughout the Bank to support comprehensive talent management and organisational goals.

Key Relationships - External Stakeholders

There are no direct external stakeholder interactions required for this role; however, the position maintains awareness of industry standards and collaborates with external vendors through HRIS teams as needed.

Success Profile - Qualification and Experiences

• Possesses a Bachelor's degree in Data Science, Statistics, Industrial Engineering, Business Analytics, or other related quantitative disciplines recognised for driving insightful analytics.
• Brings over 5 years of professional experience in data analysis, programming, or data engineering, with demonstrated proficiency in constructing effective data solutions.
• Preferred experience includes 1-2 years in Human Resources or People Analytics contexts, contributing to workforce-related analytical initiatives.
• Proficient in developing and maintaining complex data pipelines, ensuring streamlined and accurate data flow across systems.
• Advanced technical skills encompassing programming languages and frameworks relevant to data engineering, such as Python, R, APIs, web scraping technology, and machine learning libraries.
• Qualifications or certifications in HR (e.g., SHRM, HRCI) or specialised People Analytics training are advantageous, enhancing understanding of HR processes and practices.
• Demonstrates strong communication skills in English, meeting organisational language proficiency standards, facilitating effective collaboration and reporting.

The ideal candidate exhibits a balance of technical expertise, strategic insight, and a collaborative approach to drive actionable workforce analytics that underpin organisational success.