Job Specifications
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.
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.
Qualifications
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), an