Data Operations Specialist

2 weeks ago

shimoga, India beBeeProcurement Full time

Procurement Data Analyst RoleThe objective of this role is to manage, clean, categorize, and analyze procurement data across multiple companies. This requires a combination of analytical rigor, knowledge of procurement processes, and comfort working with large datasets.This position involves close collaboration with data engineers, procurement specialists, and category experts to provide accurate and harmonized spend insights that drive sourcing and value realization initiatives.Key ResponsibilitiesCleanse and normalize supplier and transaction data using SQL or Excel-based tools.Classify spend into predefined taxonomies (Direct/Indirect; L1/L2/L3 levels).Support mapping and deduplication of supplier records across multiple entities.Validate outputs from AI/ML-driven classification models and correct misclassified data.Generate category roll-ups and dashboards for ongoing reporting cycles.Perform exception handling and QA on recurring spend refresh cycles.Document rules, mapping logic, and change logs for auditability.Support taxonomy refinement and harmonization efforts.Collaborate with engineering and functional teams during data ingestion and refresh cycles.Required Skills & QualificationsThis role requires:A Bachelor's degree in Engineering, Commerce, Economics, or related fields.2–4 years of experience in spend analytics/procedure analytics/data operations.Strong proficiency in Excel and SQL (must be able to write joins, groupings, filters).Working knowledge of data cleansing, normalization, and classification concepts.Familiarity with category taxonomies (e.g., UNSPSC, custom corporate taxonomy).Experience with Power BI, Tableau, or similar business intelligence tools preferred.Understanding of procurement or finance data (POs, invoices, supplier master, GL).Detail-oriented mindset with ability to work through large datasets systematically.Behavioral CompetenciesStructured and methodical problem-solver.Comfortable working in high-volume, iterative data environments.Curious, proactive learner with a 'get it right' attitude.Strong written and verbal communication skills for documentation and QA reporting.Ability to work across time zones with US-based client teams.

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