Data and Reporting Analyst, Source

Linked In 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.

This role will be based in Sunnyvale.

At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

The Source to Pay (S2P) Center of Excellence is looking for a Data & Reporting Analyst to help transform S2P data into trusted insights for the business.

This is a hands-on individual contributor role for a strong analyst with SQL and business intelligence experience. You will write SQL to prepare and analyze data, build and maintain Power BI reporting, and replace manual processes with reliable automated workflows.

As our reporting and data capabilities continue to evolve, you will also help reduce manual reporting, strengthen KPI and data governance, and support the adoption of automation, self-service analytics and emerging AI enabled capabilities.

• Develop and maintain dashboards, reports, and analytical solutions that provide visibility into S2P performance and enable data driven decision making
• Demonstrate a strong track record of building and analyzing complex spend datasets, including the ability to integrate, structure, and interpret data across multiple sources to develop a comprehensive understanding of spend, suppliers, categories, and S2P Performance.
• Analyze complex datasets to identify trends, opportunities, anomalies, and actionable business insights, translating findings into clear recommendations for stakeholders,
• Partner with S2P stakeholders to understand business needs and translate requirements into scalable reporting and analytics solutions.
• Perform data validation, reconciliation, and quality checks to improve the accuracy, consistency, and reliability of reporting and underlying data.
• Support the development and governance of KPIs, metrics, data definitions, and taxonomy to create consistent views of S2P performance.
• Develop and automate data pipelines, analytical workflows, and recurring reporting processes with tools such as SQL, and business intelligence platforms to improve scalability, accuracy, and efficiency.
• Build and enhance self-service reporting and analytics capabilities that make insights more accessible to stakeholders,
• Troubleshoot data, reporting, and dashboard issues and partner with business and technical teams to resolve root causes.
• Support the evolution of AI enabled analytics and reporting capabilities, including identification of practical use cases that improve insight generation and decision support.
• Document reporting methodologies, data definitions, requirements and solutions to create repeatable processes and promote knowledge sharing.
• Translate complex analytical findings into clear narratives, visualizations, and recommendations that support executive decision making.
• Establish and maintain data governance practices that improve data integrity, ownership, definitions and usability across S2P reporting and analytics

• Bachelor’s degree in a quantitative, business, analytics, information systems, or related field or equivalent practical experience.
• 3+ years of experience in data analytics, business intelligence, or reporting.
• Demonstrated experience using SQL, including joins, aggregations, and window functions.
• Experience building Power BI reports and dashboards, including basic data modeling.

• Experience working with large or complex datasets and integrating data from multiple systems or sources, validating and reconciling data.
• Experience developing automated and scalable reporting solutions that reduce manual processes and improve data reliability.
• Hands on experience with modern data platforms and analytical environments, such as Databricks and Python for data analysis/automation.
• Experience applying AI, automation, or…