Position Summary:
The Discovery People Analytics team is accountable for all science-based analytics and related assets that are Smart, Targeted and Advanced insights that guides and informs strategic talent decision making and actionable outcomes.
As part of this team, you will work with the functional owners who are positioned in the Centres of Excellence, HR Business Partners and Community, Business, and other Business Analytics teams to ensure that all Analytics services and assets are delivered across the employee life cycle metrics. The process followed to adhere to business requirements and prioritized as per agreed roadmaps.
Key Responsibilities:
- Development of Dashboards and Assets
- Employ a variety of data science languages and tools to marry systems together (parallel processing from different source systems)
- Document detailed data dictionaries and source to target mappings specifications
- Enhance data collection procedures from heterogeneous data sources into the data warehouse
- Derive metrics and visualizations for effective insights
- Ensure system meet business requirements and Master Data standards
- Maintain data integrity and security
- Collaborate with business Data engineers on technical aspects of source systems data integration.
- Implement ways to improve data reliability and quality
- Design and maintain and implement Extraction, Load and Transform (ETL) processes
Required Education & Experience:
- Execution oriented
- Python programming
- Team-Oriented and Collaborative
- Multi-disciplined – Computer Science, Mathematics, Statistics
- 3 years’ experience in Dashboard design, storytelling and development
- MapReduce processing
- Bachelor’s Degree in informatics/Analytics
- Analytical
- Experience with Success Factors Data
- 5 years’ experience with Data Lakes and SQL
- Critical thinker and Problem Solver
- Understanding of HR principles and concepts advantageous
- Experience in Microsoft Azure environment
- Proactive and resourceful
- Verbal & written communication
- 5 years’ experience in Data Modelling and Data Mining
- 3 years managing analytics projects from inception to Go-Live
- ETL development