Associate Business Data Analyst

Fastly is a company dedicated to enhancing digital connectivity through its edge cloud platform, serving major clients like GitHub and Yelp. The Associate Business Data Analyst role focuses on providing strategic data insights and analysis to support the Client Services organization, ensuring data integrity and optimizing service delivery across global teams.

Responsibilities:

• Own the tracking, reporting, and analysis of Client Services activities
• Lead the development and automation of regular insights that move the needle on customer health and retention
• Write, optimize, and execute complex SQL queries
• Be responsible for manipulating customer and business data from across our tech stack to uncover hidden trends
• Act as a data consultant for cross-functional partners
• Translate non-technical business requirements into customized technical queries and dashboards
• Operate effectively within a global team, ensuring seamless asynchronous collaboration and high-quality hand-offs with US-based partners across a 12-hour time difference
• Proactively assist in maintaining and optimizing our data infrastructure (BigQuery/Looker)
• Identify and fix pipeline or logic gaps before they impact stakeholders
• Develop repeatable frameworks and automated processes to handle common analysis requests, increasing team efficiency and reducing manual toil
• Regularly audit data outputs for anomalies
• Uphold the 'Gold Standard' of data quality, ensuring our leadership team has 100% trust in the metrics you provide

Requirements:

• Significant experience in B2B business analytics best practices, with hands-on mastery of Salesforce (experience with Gainsight or Zendesk is a major plus)
• Advanced proficiency in SQL and hands-on experience with modern data warehousing and BI tools, specifically Google BigQuery and Looker
• A deep understanding of how to analyze customer lifecycle, retention, and account health metrics in a SaaS/Infrastructure environment
• Experience building advanced customer segments and target audiences based on behavioral and financial analysis
• The ability to build trusted relationships with global stakeholders
• A communication style capable of taking 'noisy' data and turning it into a clear, logical story for business stakeholders
• Bachelor's degree or equivalent practical experience in a highly analytical field
• Experience with dbt and version control systems like Git
• Knowledge of statistical programming languages such as Python or R
• Direct experience with Customer Success Platform implementation or advanced data management
• Experience working in a global remote-office environment with a 10+ hour time difference