Job Description
Google is hiring for a Data Analytics Solutions Specialist who will develop and improve reporting systems for the Procurement Organization. The role requires creating dashboards, performing data analysis and providing business intelligence to support data-based decision making. The candidate will work with different teams to build effective analytics solutions which will enhance both user experiences and stakeholder operations.
Qualification: Bachelor’s Degree in Engineering, Math, Quantitative Science, or related field
Experience: 3+ years in data analytics, consulting, or technical operations
Apply: Apply Now
Main Duties
- Design and maintain self-service reporting tools, dashboards, and analytics platforms efficiently.
- Collect and analyze procurement-related data to generate actionable insights and visualizations.
- Conduct in-depth analysis to define KPIs and metrics relevant for procurement operations.
- Create interactive dashboards and reports using Tableau, Power BI, or similar tools.
- Support ongoing reporting by generating accurate ad-hoc reports and validating data quality.
Essential Qualifications
- Creating business intelligence systems which he maintained throughout their operational period.
- Specialized knowledge in data visualization tools which include Tableau Power BI and Qlik.
- Creates interactive dashboards which produce reports and visual content that stakeholders can use to understand information.
- Execute data validation tests and perform quality checks which enable them to confirm the accuracy of generated reports.
- Knowledge about data architecture and process improvement methods and agile analytics techniques.
Preferred Skills
- Creating business intelligence systems which he maintained throughout their operational period.
- Specialized knowledge in data visualization tools which include Tableau Power BI and Qlik.
- Creates interactive dashboards which produce reports and visual content that stakeholders can use to understand information.
- Execute data validation tests and perform quality checks which enable them to confirm the accuracy of generated reports.
- Knowledge about data architecture and process improvement methods and agile analytics techniques.