About the role
Zycus is hiring for the role of Spend Data Analyst!
Responsibilities of the Intern:
- Analyze procurement and spend data across suppliers, categories, business units, geographies, and other dimensions to identify trends, patterns, and opportunities. - Support spend data cleansing, validation, classification, and categorization to improve the quality and accuracy of spend analytics. - Work on supplier data activities such as supplier normalization, duplicate identification, and supplier consolidation analysis. - Understand and analyze procurement transactions such as purchase orders, invoices, goods/services purchases, and other spend-related data. - Support the development and maintenance of spend taxonomies and category hierarchies to enable meaningful spend analysis. - Identify maverick spend, fragmented spend, supplier concentration, and other procurement opportunities through data analysis. - Prepare spend reports, dashboards, analytical outputs, and management-ready presentations for internal and customer stakeholders. - Perform data quality checks and investigate anomalies, inconsistencies, and gaps in procurement data. - Work with senior consultants and customer stakeholders to understand business requirements and translate them into analytical outputs. - Develop insights and recommendations that can help customers improve spend visibility, sourcing effectiveness, supplier management, and procurement efficiency. - Support implementation and enhancement of Zycus Spend Management solutions. - Collaborate with Product, Engineering, Consulting, and Customer Success teams to resolve data and functional issues. - Continuously develop knowledge of procurement, Source-to-Pay (S2P) processes, spend analytics, and AI-enabled procurement.
Requirements
- Bachelor's degree in Engineering, Economics, Finance, Business, Statistics, Mathematics, or a related discipline. - 0–2 years of experience in analytics, consulting, procurement, business analysis, or a related field. Fresh graduates with strong analytical capabilities are encouraged to apply. - Strong analytical and quantitative skills with the ability to work with large datasets. - Good working knowledge of Microsoft Excel; familiarity with SQL, Power BI, Tableau, or other analytics tools is an advantage. - Basic understanding of Procurement and Source-to-Pay (S2P) processes. - Strong attention to detail and ability to identify patterns, anomalies, and data quality issues. - Good problem-solving and logical reasoning skills. - Strong written and verbal communication skills. - Ability to work effectively in a team and collaborate with cross-functional and customer-facing stakeholders. - Demonstrated interest in using AI tools to improve productivity and analytical work.