Data Analyst

Skills this role screens for

About the role

Zycus is hiring for the role of Data Analyst!

The work

Responsibilities of the Candidate

• 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.

Who they want

Requirements

• Leverage AI and GenAI tools such as Microsoft Copilot, ChatGPT, and Gemini to improve data analysis, documentation, research, and reporting efficiency.
• Explore opportunities to use AI for data quality checks, spend classification, insight generation, and analytical automation.
• Stay updated on emerging AI capabilities and their application in procurement and spend analytics.
• 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.