Sr. Analyst, Master Data Management

This role will be based in San Francisco.

AtLinkedIn our approach to flexible work is centered on trust andoptimizedfor culture connection clarity and the evolving needs of our work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days asdeterminedby the business needs of the team. 

Were hiring a Sr. Analyst Master Data Management (MDM) to help build and run the master data capabilities that keep Finance operating on consistent reliable foundations. This role is about getting the basics right at scale: defining standards improving data quality enabling clean downstream reporting/automation and driving the day-to-day operational rigor required to keep core entities accurate and usable across systems. Youll work across Finance Finance Technology Engineering and upstream source owners to manage and improve core financial and corporate master data domains (e.g. chart of accounts cost centers suppliers customers products) ensuring they are governed auditable and designed to support both operational workflows and analytical use cases. 

Responsibilities: 

• Own master data operations for key domains: Support the intake creation change management and lifecycle of core finance master data elements (including validation approvals and documentation 
• Implement and manage critical master data in Oracle EDM to support financial budgeting strategic planning and management reporting including structures such as Cost Center Department and Product Hierarchies. 
• Drive data quality and standardization: Define and enforce business rules; identify quality issues (duplicates hierarchy drift missing attributes inconsistent naming) prioritize fixes and work with system owners to remediate root causes. 
• Build the governance muscle: Help operationalize policies standards and processes (RACI controls approvals stewardship routines periodic reviews) that keep master data healthy over time. 
• Partner across systems and teams: Collaborate with Finance Technology Engineering and upstream teams to align on data models integrations and processesensuring master data flows cleanly across tools and platforms. 
• Enable reporting automation and analytics: Ensure master data is structured and documented in a way that supports semantic layers metric definitions automation workflows and reconciliation needs. 
• Improve tooling and workflows: Create lightweight solutions (templates validations dashboards exception queues status tracking) to increase throughput and reduce errors in master data processes. 
• Establish transparency and trust: Maintain clear documentation (definitions hierarchies attributes ownership) publish guidance for requesters and communicate changes and impacts to stakeholders. 

Qualifications :

Basic Qualifications 

• Education: Bachelors degree in Finance Accounting Information Systems Data/Analytics Engineering or a related field (or equivalent practical experience). 

• Experience: 5 years in master data data governance data operations finance systems or related roles working with business-critical datasets. 

• Data skills: Experienced analytical skills and comfort working with large datasets; proficiency in Excel/Sheets and SQL (2 years) for validation reconciliation and investigation. 

• Process rigor: Experience operating structured processes (intake approvals audits SOPs) with high attention to detail. 

• Stakeholder management: Ability to partner with both technical and non-technical teams translate business needs into data standards and drive alignment. 

Preferred Qualifications 

• Finance master data experience: Hands-on experience with finance master data domains (cost centers / department hierarchies Chart of Accounts legal entities currency) and understanding of how they impact transaction flow GAAP and management reporting. 

• ERP familiarity: Experience working with ERP/finance platforms (Oracle EPM / EDM SAP or similar) and understanding of finance data models and hierarchies. 

• Governance frameworks: Familiarity with stewardship models controls and governance practices (RACI data ownership data dictionaries quality rules change control). 

• Data quality tooling/monitoring: Experience building or using data quality checks exception reporting lineage documentation or observability mechanisms. 

• Automation mindset: Experience improving workflows through automation (Power Platform or similar) and standardizing repeatable processes. 

• Change management: Comfort driving adoption of standards across distributed teams and influencing without authority. 

Suggested Skills 

• Project Management 
• Data Analysis 
• Financial Acumen 
• Stakeholder Management 
• Problem Solving 

LinkedIn is committed to fair andequitablecompensation practices. 

The pay range for this role is$98000-$158000. Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work may be different in other locations due to differences in the cost of labor. 

The total compensation package for this position may also include annual performance bonus stockbenefitsand/or other applicable incentive compensation plans. For more information visit Information :

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No

Employment Type :

Full-time