Sr. Associate, Business Intelligence

This role will be based in  San Francisco.  

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 are hiring a Sr. Associate, Business Intelligence, to own and scale finance reporting through best-in-class data products, governed metrics, and trusted data foundations. This role sits at the intersection of Finance, Analytics, and Technology and operates as a senior individual contributor with high visibility and influence. 

The ideal candidate brings analytics engineering mindset, strong BI craftsmanship, and the ability to partner closely with Finance stakeholders to deliver executive-ready insights and scalable, self-serve reporting. This is not a dashboard-only role you will build durable, auditable reporting systems that stand up to scrutiny, reduce manual effort through automation, and improve the speed and quality of finance decision-making. 

Responsibilities: 

Execution & Organization 

• Own BI solutions end-to-end: Design, build, and operate finance-facing dashboards, metric layers, and automated reporting. 
• Build scalable data foundations for reporting: Build data models, semantic layers, and curated datasets that enable consistent finance reporting and automation. 
• Enable automation at scale: Replace manual reporting with automated pipelines, alerts, and self-serve workflows. 

Strategic Thinking 

• Establish governed metrics & KPI definitions: Partner with Finance stakeholders to standardize definitions (e.g., revenue, expenses, headcount, bookings) and implement consistent logic across reporting surfaces. 
• Raise the BI bar: Establish best practices for dashboard UX, performance, semantic consistency, documentation, and stakeholder enablement. 
• Identify automation opportunities: Proactively identify "high-friction" finance processes that can be streamlined through data products. 
• Stakeholder Influence 
• Drive cross-functional execution: Lead complex, multi-stakeholder initiatives across cross functional teams (setting roadmaps, milestones, and clear success metrics). 
• Deliver executive-ready narratives: Translate analysis into crisp recommendations; build repeatable "insight-to-action" mechanisms (business reviews, scorecards, operating rhythms). 
• Enable self-serve capabilities: Champion adoption of BI products and empower Finance partners to make faster, better decisions through training, documentation, and stakeholder enablement. 

Stakeholder Influence 

• Drive cross-functional execution: Lead complex, multi-stakeholder initiatives across cross functional teams (setting roadmaps, milestones, and clear success metrics). 
• Deliver executive-ready narratives: Translate analysis into crisp recommendations; build repeatable "insight-to-action" mechanisms (business reviews, scorecards, operating rhythms). 
• Enable self-serve capabilities: Champion adoption of BI products and empower Finance partners to make faster, better decisions through training, documentation, and stakeholder enablement. 

 

Minimum Qualifications 

• Education: Bachelor's degree in a quantitative/technical field (or equivalent practical experience). 
• Experience: 6+ years in BI/analytics roles delivering business-critical reporting and automation. 
• Technical proficiency: 4+ years writing advanced SQL (complex joins, window functions, query optimization, data quality checks) and building robust reporting solutions in Power BI, Tableau, Looker, or equivalent. 

Preferred Qualifications 

• Finance domain fluency: Experience supporting finance stakeholders (close/GL-adjacent reporting, planning inputs, operational finance metrics, governance/controls mindset). 
• Semantic/modeling depth: Experience designing metric/semantic layers and scalable datasets for self-serve BI. Certification in Power BI and/or Microsoft Power Platforms with ability to streamline visualization capabilities and drive reporting self-service to key business partners. 
• Automation & scripting: Python (or similar) for automation, data validation, and repeatable analysis workflows. 
• Data quality & governance: Familiarity with data lineage, documentation, master data concepts (e.g., cost centers, suppliers, customers, products), and operationalization of standards. 
• Program leadership: Strong track record managing multi-workstream analytics initiatives with clear milestones, risks, and stakeholder communications. 

Suggested Skills 

• Financial Acumen 
• Forecasting 
• Data Analysis,  
• Problem Solving 
• Project Management 

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.  

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 [email protected] 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.