Spend Analyst

Job Description

<strong>Zycus</strong> is looking for a motivated and analytical <strong>Spend Analyst</strong> to support customers in gaining visibility into their procurement spend and identifying opportunities for cost optimization. The role involves working with large and complex datasets, understanding procurement and Source-to-Pay (S2P) processes, analyzing supplier and category spend, and translating data into meaningful business insights.

The ideal candidate is someone with strong analytical and problem-solving skills, attention to detail, and an interest in <strong>procurement, data analytics, and AI-powered solutions</strong>.

Key Responsibilities

• Analyze procurement and spend data across suppliers, categories, business units, geographies, and other dimensions to identify trends, patterns, and opportunities.
• Support <strong>spend data cleansing, validation, classification, and categorization</strong> to improve the quality and accuracy of spend analytics.
• Work on supplier data activities such as <strong>supplier normalization, duplicate identification, and supplier consolidation analysis</strong>.
• Understand and analyze procurement transactions such as purchase orders, invoices, goods/services purchases, and other spend-related data.
• Support the development and maintenance of <strong>spend taxonomies and category hierarchies</strong> to enable meaningful spend analysis.
• Identify <strong>maverick spend, fragmented spend, supplier concentration, and other procurement opportunities</strong> 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 <strong>spend visibility, sourcing effectiveness, supplier management, and procurement efficiency</strong>.
• 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, <strong>Source-to-Pay (S2P)</strong> processes, spend analytics, and AI-enabled procurement.

AI Skills & Initiatives

• 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 <strong>data quality checks, spend classification, insight generation, and analytical automation</strong>.
• Stay updated on emerging AI capabilities and their application in procurement and spend analytics.

Required Skills & Qualifications

• Bachelor's degree in Engineering, Economics, Finance, Business, Statistics, Mathematics, or a related discipline.
• <strong>0–2 years of experience</strong> 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 <strong>Microsoft Excel</strong>; familiarity with SQL, Power BI, Tableau, or other analytics tools is an advantage.
• Basic understanding of <strong>Procurement and Source-to-Pay (S2P)</strong> 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.

Good to Have

• Internship or project experience in <strong>spend analytics, procurement analytics, business analytics, data analysis, or consulting</strong>.
• Exposure to procurement concepts such as <strong>Sourcing, Supplier Management, Purchase Orders, Invoicing, Accounts Payable, and Contract Management</strong>.
• Familiarity with spend classification, procurement taxonomies, supplier normalization, or data cleansing.
• Exposure to ERP/procurement systems such as <strong>SAP, Oracle, Microsoft Dynamics, Coupa, SAP Ariba, Ivalua, GEP SMART, or Zycus</strong>.
• Experience with SQL, Power BI, Tableau, Python, or other data analytics tools.
• Knowledge of AI-enabled analytics or intelligent automation.