SQL & Power BI Data & Reporting Analyst (Hybrid)

LinkedIn

Mountain View (CA)

Hybrid

USD 90,000 - 146,000

Full time

3 days ago
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Job summary

LinkedIn is seeking a Data and Reporting Analyst for Source to Pay to transform data into trusted insights. The role emphasizes building dashboards, automating reporting, and governing data to enable decision making across S2P.

Hybrid work in Sunnyvale supports flexibility while driving critical supplier and spend analytics. The candidate will work with SQL, Power BI, and data pipelines, focusing on data quality, scalability, and AI-enabled analytics to reduce manual processes and improve

Qualifications

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

Responsibilities

  • Develop and maintain dashboards, reports, and analytical solutions for S2P performance.
  • Analyze spend datasets across sources to understand spend, suppliers, categories, and S2P performance.
  • Translate analytical findings into clear recommendations for stakeholders.
  • Partner with S2P stakeholders to translate business needs into scalable reporting and analytics solutions.
  • Automate data pipelines and recurring reporting processes to improve scalability and accuracy.
  • Support development of KPIs, data definitions, and taxonomy for S2P reporting.
  • Create self-service reporting capabilities and improve data governance.

Skills

SQL
Power BI
Analytics

Education

Bachelor's degree in a quantitative field
Equivalent practical experience

Tools

Databricks
Python
Excel

Job description

LinkedIn is seeking a Data and Reporting Analyst for Source to Pay to transform data into trusted insights. The role emphasizes building dashboards, automating reporting, and governing data to enable decision making across S2P.

Hybrid work in Sunnyvale supports flexibility while driving critical supplier and spend analytics. The candidate will work with SQL, Power BI, and data pipelines, focusing on data quality, scalability, and AI-enabled analytics to reduce manual processes and improve

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