Process Expert - Supplier Master Data Reporting Technical

Preferred Work Experience - 

• Minimum 4 years of experience in data analytics, business intelligence, or reporting.
• Hands-on experience in SQL, Python scripting, and VBA development.
• Experience in developing Python scripts from scratch and modifying existing scripts as per business requirements.
• Experience in data extraction, transformation is must and visualization tools good to have but not mandatory (Google Cloud Platform, MicroStrategy).
• Familiarity with SAP Fi/CO Supplier master data tables, extraction of data, validation of data, and reporting of data as per the business requirements.
• Proven track record in ETL process development and data quality management.
• Strong experience in understanding business requirements and documenting those requirements to ensure expected delivery.
• Ability to manage multiple projects and ensure timely data reporting.
• Strong stakeholder management skills to collaborate with internal teams and business leaders.
• Experience in process optimization, automation, and performance improvement initiatives.
• Strong problem-solving and decision-making skills.
• Ability to mentor junior analysts and drive knowledge-sharing within the team.
• Bachelor's or higher degree in Computer Science, Information Technology, Business Informatics, or a related field (e.g., B.Sc (IT), MCA, B.Tech, B.Sc (CS)).
• Strong academic background in data analytics, database management is preferred.

Required Technical Competencies - 

• Strong knowledge of SQL.
• Strong experience in Python scripting, including creating scripts from scratch and modifying existing ones based on business needs.
• Advanced Excel proficiency (macros, pivot tables, complex formulas) and database modeling.
• Knowledge of SAP Fi/CO data structures added advantage.
• Experience in Google Cloud Platform, QlikView & MicroStrategy (Added advantage).

Required Functional skills - 

• Experience in writing SQL queries for data extraction from GCP/Oracle data warehouse.
• Strong knowledge of Supplier Master Data Management / reporting.
• Ability to modify scripts and optimize data processing workflows.
• Develop Python scripts from scratch for automation, data transformation, and analytics.
• Enhance and modify existing Python scripts to meet evolving business requirements.
• Experience in data validation, master data reporting, and quality control.
• Strong analytical and conceptual skills to improve application performance.
• Ability to document processes and functional specifications effectively.
• Ability to document business requirements and ensure they are clearly translated into deliverable solutions.
• Adaptability to acquire technical skills as per the business needs.

Behavioral Competencies-

• Attention to Detail – Ensures accuracy in data extraction, transformation, and reporting.
• Analytical Thinking – Ability to interpret data patterns and generate insights.
• Problem-Solving – Identifies and resolves data discrepancies and performance issues.
• Proactiveness & Initiative – Suggests improvements for automation and process optimization.
• Stakeholder Collaboration – Engages with internal teams for seamless data integration.
• Communication Skills – Effectively conveys complex data concepts to technical and non-technical audiences.
• Adaptability & Continuous Learning – Stays updated on new technologies and industry trends.