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Astreya

AI-powered managed IT services provider

Masterdata Analyst 1

Data ManagementConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • The candidate must have 3–7+ years of experience in master data management, catalogue management, product or pricing master data, procurement operations, or supplier-facing category support.
  • The candidate must have hands-on SAP experience with material master, purchase information records, and price conditions in a governed request-and-approval workflow.
  • The candidate must have owned a new product introduction or item-onboarding path end to end, including parent-child or base-variant record structures.
  • The candidate must have owned a recurring supplier price-file review cycle at volume, with responsibility for deciding what loads and what is rejected.
  • The candidate must be able to scrub, map, and load large supplier datasets against plant, country, and delivery scope without breaking existing dependencies.
  • The candidate must be able to distinguish a genuinely new configuration from a duplicate and return a request rather than complete it when appropriate.
  • The candidate must have confident written and spoken English for communicating with suppliers, channel stakeholders, and internal requesters.
  • The candidate must be willing and able to work a shift-based roster, including night shifts, from the Hyderabad delivery centre.

Responsibilities

  • Raise new material requests on behalf of channel management, capturing identifiers, standardized descriptions, net and gross weights in kilograms where regionally mandated, classification references, unit valuation, and supplier details.
  • Apply the correct material tier classification for new product introductions; retain the lower tier for audio-visual assets and state the carve-out on the request rather than assuming it.
  • Verify the required identifier type before origination: manufacturer part number for hardware assets and universal product code for accessories.
  • Check for an existing equivalent configuration using part number, universal product code, and technical specification before originating a new record.
  • Apply the mandatory validation gate to hardware additions, managed-service-provider additions, and special orders; do not release requests without documented approval on the record.
  • Decide whether requests should proceed and reject or return incomplete or duplicative requests with the specific gap stated.
  • Establish the base material for the core product, then originate regional variant requests for localized configurations such as power plug types and keyboard layouts.
  • Keep the parent request open until every regional variant has been created and closed, preventing partial release into regions unable to fulfil the product.
  • Maintain the variant hierarchy over the product life by adding configurations as regions are enabled and retiring them as configurations are withdrawn.
  • Confirm each new item is catalogue-ready before release, including description standards, worldwide availability, correct category and supercategory mapping, and complete specification content.
  • Coordinate regional rollout sequences with channel management, mobility operations, and authorized inventory specialists against known stock and enablement positions.
  • Support product retirement and tier reclassification at end of sale, coordinating obsolescence timing with channel management and regional stock positions.
  • Run the weekly price verification cycle across the managed catalogue, comparing live catalogue pricing with current supplier price files and updating prices when they have changed.
  • Process supplier price sheets into purchase information records, removing line items for plants, countries, and delivery locations that are not maintained so only in-scope combinations load into the system.
  • Validate unit costs, currency, and region mappings before release; escalate discrepancies to channel management and procurement rather than loading prices that will fail downstream.
  • Contribute to the monthly pricing review against historical baselines and flag anomalies before they reach the ordering storefront.
  • Reconcile catalogue pricing with procurement and finance records to support downstream invoice matching, and maintain evidence for every price change.
  • Track recurring pricing discrepancies to their root cause with the supplier or channel owner instead of repeatedly correcting the same line; execute and evidence pricing decisions while pricing policy, rate governance, and commercial approval remain with the pricing function.
  • Maintain forward visibility of the new product pipeline so launches are planned against known dates.
  • Work approval blockers on new material additions, produce turnaround-time analysis showing where time is lost between hand-offs, and escalate with supporting evidence.
  • Flag at-risk introductions early to the shift lead and identify the specific dependency that is slipping.
  • Own the master-data defect queue for introduced products, raise catalogue and data errors with enough detail for root-cause analysis, and work with Asset Lifecycle Management on underlying faults.
  • Review a sampled share of Level I output, coach associates on supplier attribute extraction and gating judgement, and take cases that Level I associates should not decide alone.
  • Identify automation candidates in price-check, record-loading, and variant-creation cycles; support scripted handling, including threshold-based validation; and keep procedures current as catalogue administration migrates to new platforms.
  • Work toward the stated service levels: process at least 98% of complete introduction requests within the agreed onboarding window; close parent requests only when every regional variant is live; release all new introductions with correct material tier and identifier type; validate and document all high-risk request types before release and originate zero duplicate material records; complete every weekly price verification cycle on schedule; sustain at least 99% of catalogue price lines reconciled to current supplier price files; release all items with worldwide availability and correct category mapping at go-live; maintain current turnaround-time analysis for approval bottlenecks; sustain at least 95% on the weighted quality scorecard; and sustain at least 95% of customer responses rated Excellent or Good.
  • Use SAP Master Data Governance for material, manufacturer, and reference record requests, and SAP Materials Management for purchase information records, price conditions, and material master.
  • Use SAP Hybris for catalogue and storefront entries, taxonomy, and availability flags, as well as IT service management platforms as catalogue administration migrates to them.
  • Work with supplier price files and quotations, manufacturer datasheets and specification sheets, and product compliance declarations.
  • Use enterprise ticketing and issue-tracking systems for request lifecycle, parent-child variant tracking, and pipeline visibility.
  • Perform advanced spreadsheet work, scripted automations for price-threshold checking, and business intelligence reporting for cycle and bottleneck analysis.

Desired Qualifications

  • Experience with storefront or e-commerce catalogue administration, including regional visibility rules and staged-to-live catalogue promotion.
  • Experience with end-of-sale and end-of-purchase transitions, including regional stock depletion.
  • Exposure to trade classification data and cross-border documentation requirements.
  • Experience reviewing or coaching junior analysts on data-quality and gating decisions.
  • Spreadsheet automation or scripting applied to price-threshold and validation checks.
  • Familiarity with IT service management platforms such as ServiceNow.

About the Company

Astreya

AI-powered managed IT services provider

Astreya provides IT managed services for large enterprises, designing, deploying, and running their technology environments. Its offerings cover cloud, infrastructure, security, digital workplace services, and AI-powered support, including an AI-driven service desk and an AI Ops platform. It differentiates itself by tightly integrating with a client’s existing stack and partnering with platforms like Google Cloud, Databricks, and ServiceNow to deliver end-to-end managed IT with in-house AI capabilities. Its goal is to help enterprises run IT more efficiently and securely while expanding impact through partnerships and acquisitions, including supporting Cognizant's AI-first managed services strategy.

Company size
1,001-5,000
Company stage
Acquired
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2001

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