Live opening · Posted 13 hours ago

DOMAIN ANALYST - Asset Mgmt.

Happiest Minds · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 13 hours ago
CompanyHappiest Minds
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SkillsPower BI
SourceLinkedin
ListedPosted 13 hours ago

About the role

Description supplied by the original job listing.

ELP Data Quality Analyst
High-level role description | ELP Data Quality Acceleration
Primary focus: Complete time-bound ELP data quality, remediation and compliance activities in line with priorities set by the SAM - Corporate Software Manager and SAM - Project Delivery Software Manager.Role Purpose
Support the accelerated delivery of trusted Effective Licence Positions (ELPs) by improving the quality, completeness and accuracy of software entitlement, contract, purchase, deployment and usage data. The role is execution-focused, with clear priorities, deliverables and completion dates assigned by the two Software Asset Management managers.
Skills and Experience
3-5 years experience in data quality, Software Asset Management (SAM), IT Asset Management (ITAM), software licensing, procurement, contract administration or a related discipline.
Demonstrated experience cleansing, validating, reconciling and improving large datasets from multiple sources.
Strong analytical, investigative and problem-solving skills, with high attention to detail.
Intermediate to advanced Microsoft Excel capability; exposure to Power BI, Power Query, SQL or similar tools is desirable.
Familiarity with SAM and usage metering tools is desirable, including Flexera, Open iT, ServiceNow SAM or similar platforms.
Working understanding of software entitlement, licence compliance and Effective Licence Position concepts.
Understanding of AI enablement, automation and agent-assisted ways of working, with the ability to identify practical opportunities to reduce manual effort.
Clear written and verbal communication skills and the ability to work effectively across global and cross-functional teams.
Key Activities
Complete assigned, time-bound ELP data quality and remediation activities in line with priorities, milestones and deadlines set by the SAM - Corporate Software Manager and SAM - Project Delivery Software Manager.
Cleanse, validate, enrich and reconcile software entitlement, contract, purchase order, deployment and usage data across multiple systems and repositories.
Identify and resolve duplicate, incomplete, conflicting or inaccurate records, escalating blockers and dependencies early.
Support priority vendor ELP production through data preparation, evidence collection, reconciliation and exception resolution.
Validate contract, procurement and entitlement information before ingestion into Flexera and related repositories.
Investigate ELP exceptions, license compliance variances, anomalies and data gaps, documenting evidence and outcomes.
Maintain clear action trackers and provide concise progress reporting against agreed deliverables, due dates, risks and dependencies.
Produce data quality metrics and issue reporting to support prioritization and management decisions.
Liaise with key stakeholders, including Product Management, Entitlement Forensics, Procurement, Commercial, Finance, Digital and vendor contacts, to obtain evidence, clarify data and resolve issues.
Support software audit readiness, compliance reviews and renewal preparation activities.
Identify and implement opportunities to improve data quality, standardise repeatable activities and use automation or AI-enabled approaches to reduce manual effort.
Accountability and Success Measures
Timely completion of assigned activities against agreed priorities and deadlines.
Improved completeness, accuracy and traceability of ELP source data.
Reduction in unresolved data quality issues, duplicates, exceptions and entitlement gaps.
Clear escalation of risks, blockers and stakeholder dependencies.
Faster and more reliable production of trusted ELPs for priority vendors.
Demonstrable reduction in manual effort through process improvement, automation and AI enablement.

Work arrangement
No

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