The HR Data Analytics Manager role is responsible for leading and shaping the Business Intelligence function within Employee Experience. This role will report to the Head of Workforce Planning and will lead a team of BI and Data engineer to deliver self-service reporting solutions, models for our people data , ensuring our solutions are high quality, consistent, and secure.

Your role & responsibilities

Set the strategy and roadmap for how we evolve our self-service data ecosystem, ensuring that different personas across the business (e.g., HRBPs, managers, executives) have access to the right insights at the right time.
Partner with HR leaders and business stakeholders to understand their needs, collect feedback, and iterate to drive improvements.
Drive a product-driven, scalable approach to designing, building and maintaining reporting solutions, and developing and managing people metrics and queries.
Collaborate with platform and data teams to ensure data sources are accurate, available, and analyzable
Design and build user-friendly, intuitive, and aesthetically pleasing dashboards that display key people metrics, personalized for the relevant audience
Use BI tools (Power BI) to create dynamic data visualizations, making it easier for HRBPs and leaders to understand trends and patterns
Monitor dashboards for data accuracy, reliability and performance
Troubleshoot issues, fix bugs, and enhance dashboards as needed
Create and provide training to relevant audiences on using the dashboards effectively, and assist with addressing questions

Your skills & qualifications

10 + years of experience in Business Intelligence and Analytics within an HR/ Finance/ Banking function , with at least 2 -3 years in a leadership role.
Knowledge of HR processes and key people metrics, and how to clean, transform and aggregate data to create meaningful insights
Proficiency in BI tools (e.g., Power BI, Tableau).
Expertise in data visualization, dashboard design, and performance optimization
Expertise querying and manipulating databases using SQL
Knowledge of R and Python is a nice-to-have
Excellent verbal and written communication skills, with the ability to convey complex data insights to non-technical stakeholders.
Demonstrated ability to work collaboratively across functions and levels within an organization.
Proven ability to lead and develop high-performing teams.
Strong analytical and problem-solving skills