Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe..

Industry: Software Development
Company Size: 10,001+ employees

LinkedIn

Savvy Admin PROD

**Company Description**

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

**Job Description**

This role will be based in San Francisco New York City

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

We’re 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. You’ll 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 processes—ensuring 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: Bachelor’s 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 and equitable compensation practices.

The pay range for this role is $98,000-$158,000. 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 location. This 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, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

**Additional Information**

**Equal Opportunity Statement**

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

- Documents in alternate formats or read aloud to you

- Having interviews in an accessible location

- Being accompanied by a service dog

- Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

**San Francisco Fair Chance Ordinance**

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

**Pay Transparency Policy Statement**

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

**Global Data Privacy Notice for Job Candidates**

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.

Sr. Analyst, Master Data Management

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