Senior Data Analyst, Sales Analytics

Fastly helps people stay better connected with the things they love. Fastly’s edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers’ applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly’s customers include many of the world’s most prominent companies, including Vimeo, Pinterest, The New York Times, and GitHub.

We're building a more trustworthy Internet. Come join us.

Posting Open Date: March 24th, 2025

Anticipated Posting Close Date*: March 1st, 2025

*Job posting may close early due to the volume of applicants.

Senior Data Analyst, Sales Analytics

The Senior Data Analyst, Sales Analytics role will be a key contributor to the Sales Strategy & Operations team. Reporting to and collaborating closely with Sr. Director, Sales Strategy & Operations, this role will be responsible for owning and defining the future roadmap for all sales data architecture, visualization, analysis & reporting, to support the sales organization. This will include projects and initiatives centered around customer data, sales metrics, QBRs and sales go-to-market planning across several key reporting platforms (Looker, Salesforce & Clari). This role will be able to serve the basic reporting needs of our sales/revenue organization, while finding opportunities to dive deeper into complex data challenges, to deliver key insights that drive decision-making.

The perfect candidate for this role takes a proactive, consultative approach to solving business problems with non-technical partners. They’re capable of distilling complex ideas and data into logical insights and recommendations, and adjust their communication based on the audience. They are able to work independently while prioritizing work, and take an iterative approach to getting the job done. Finally, they are curious and take initiative to learn new areas of the business, to be effective in their role.

What You'll Do:

• Tracking, reporting, analyzing and compiling the performance of key sales metrics including pipeline, forecast, and key sales activities - to support ongoing business needs and QBRs.
• Manage intake and development of sales insights and analytics requests, as well as ongoing development / automation of regular reports.
• Write, optimize, and execute SQL queries to extract and manipulate sales data from databases for analysis and reporting purposes.
• Work with cross-functional teams to understand data requirements and develop customized queries to support various sales and business initiatives.
• Develop processes & frameworks for repeatability in common analysis requests.
• Regularly audit data outputs for anomalies and reporting errors.
• Partner with business analytics, sales operations, marketing operations, and finance teams to uphold data quality standards, and evaluate new sales data sources & tooling.
• May also assist in maintaining and optimizing the data infrastructure, including databases, data warehouses, and ETL processes.

What We're Looking For: 

• Technical experience in B2B sales analytics & best practices, with strong hands-on experience with common B2B tools like Salesforce and Clari
• Experience in common data warehousing & business intelligence tools like Google BigQuery and Looker (with proficiency in SQL), or similar experience with Tableau, PowerBI and other data intelligence tools
• Experience in analyzing and reporting on basic sales metrics including pipeline, sales forecast and sales performance.
• Experience with building data models to define segments and target audiences based on available data 
• Ability to build trusted relationships across extended sales operations teams, managing expectations, and producing reports/analysis in a timely manner
• Communication style capable of distilling complex data into actionable insights for sales, across different audience types (executives, leadership, sales reps and sales operations)
• General understanding of the business including sales go-to-market and planning
• Min. 3-5 years of work experience, ideally in sales/sales operations or supporting role for these functions
• Bachelor's degree 

We’ll be super impressed if you have experience in any of these: 

• Experience with dbt and version control systems like git
• Knowledgeable in statistical programming languages such as Python or R
• Experience with GA4 and Google Tag Manager implementation