Sr. Associate, Analytics

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. 

We are hiring a Sr. Associate Analytics 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. 

Qualifications :

Minimum Qualifications 

• Education: Bachelors 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 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