Analytics Manager | Real Estate |

Job Description

REQUIREMENTS

• Advanced proficiency in Power BI and Microsoft Excel.
• Strong understanding of HR metrics and workforce analytics.
• Experience in automating processes using tools like Power Automate and AI-enabled solutions.
• Excellent analytical thinking and data storytelling abilities.
• Bachelor’s Degree in Analytics, Statistics, Computer Science, MIS, or a related discipline.
• 3 to 5 years of experience as an Analytics Specialist in a high-performing business environment.
• Experience with SAP SuccessFactors and SAP Analytics Cloud, combined with strong data analysis and BI tool expertise, such as Power BI or Tableau.
• Proficiency in Python for data analysis and machine learning, with a focus on HR or workforce datasets.

RESPONSIBILITIES

Manpower Cost Analytics

• Support MPC planning, budgeting, quarterly forecasting, and periodic review against actuals for both in-house and outsource populations.
• Maintain data integrity and drive adoption of the SAC system, providing guidance, training, and resolving issues for HRBPs and Finance partners.

Dashboards & Reporting

• Design, develop, and maintain HR dashboards, scorecards, and self-service reporting solutions across the employee lifecycle.
• Promote dashboard adoption among HR and business stakeholders, ensuring data accuracy and effectiveness.

Automation & AI

• Automate recurring HR reporting and operational processes using platforms like Power BI, Power Automate, SharePoint, and Copilot Studio.
• Implement AI-enabled agents to enhance efficiency and encourage user adoption of automated solutions.

Presentation of Data

• Deliver clear and creative presentations of data findings, assumptions, and suggestions, both electronically and in person, using advanced presentation techniques.

Total Rewards Support

• Manage monthly Total Rewards (TR) case cycles and support incentive and compensation analytics, validations, and process improvements with HRBPs and Group TR.

Data Analysis

• Perform detailed data analysis to address complex business problems, understanding business processes, and applying appropriate data analysis techniques to recommend solutions.

Business Partnering

• Act as a trusted analytics partner to HRBPs and business leaders, providing timely ad-hoc analyses, insights, and data-driven recommendations.

Are you interested in this position?

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