HR Data Analyst

Career Category

Job Description

Job Purpose

• Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics.
• Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques.
• Deliver operational talent reports with data-driven narratives.
• Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting.
• Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners).
• Innovate to automate and streamline processes.
• Responsible for data cleansing, validation, testing, and large-scale data analysis.
• Handle sensitive human capital data with discretion and sound judgment.
• Collaborate with project teams to ensure correct identification of data impacted by changes.

Education: 

• Bachelor’s degree in engineering, Computer Science, Mathematics, or related technical field.

Experience:

• 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets.
• Self-motivated, curious, independent, and eager to learn.

Technical Skills:

• Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools
• Exposure to R, Python is an added advantage.
• Experience in Workday reporting, Viva GLINT, Visier, HR data systems.
• Preprocessing structured/unstructured data.
• Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX.

Other Requirements:

• Ability to work in virtual teams across time zones.
• Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management).
• People management experience (a plus).
• Knowledge of ERP, HR systems, and Business Intelligence tools.
• Ability to handle stress and prioritize effectively with management support.