The business problem is to manage client segmentation and prioritization, set seller targets and quotas in collaboration with finance, ensure accurate data uploads for compensation processes, and maintain the integrity of global seller data. The role aims to enhance reporting capabilities, extract insights from multiple data sources, and act as a technical thought partner during feature development.
Requirements
- Proficient in SQL with a minimum of 5 years of experience.
- Strong expertise in Power BI with at least 5 years of experience.
- Advanced Excel skills (5-7 years) for building templates and managing global data consolidation.
- Experience with Microsoft Fabric is preferred.
- Familiarity with Python is ideal but not mandatory.
- Understanding of machine learning techniques such as regression, classification, clustering, etc., is beneficial.
- Knowledge of best practices in data quality and cleaning.
Responsibilities
- Manage client segmentation and prioritize assignments for sellers.
- Own tools for quota management and ensure accurate data uploads for compensation processes.
- Participate in Sales Operations data management and analysis every fiscal half.
- Extract data from various repositories to analyze trends related to sales performance.
- Seek feedback from stakeholders to improve tooling and reporting capabilities.
- Act as a technical advocate for end-user groups during feature development with engineering teams.
- Enhance the reporting suite to support partner teams in decision-making processes.
Other
- Collaborate with finance to establish seller targets and quotas.
- Experience in sales, quota, or compensation-related operations is advantageous.
- Effective communication skills to influence stakeholders confidently.
- Ability to make decisions in a fast-paced environment.
- Quick learning ability with adaptability to different Microsoft systems.
