Senior Data Analyst, Sales Analytics

Responsibilities

• Manage intake and development of sales insights and analytics requests, as well as ongoing development / automation of regular reports.
• Maintain and optimize the data infrastructure, including databases, data warehouses, and ETL processes.
• 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.
• 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.
• 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.

Requirements

• Minimum 3 years of experience in sales operations or sales data analytics role required
• Working knowledge of the business including sales go-to-market and planning
• 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 with dbt and version control systems like git
• Experience building and using agentic-prompts to automate GTM workflows
• 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 and data analytics 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)
• 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:
• Knowledgeable in statistical programming languages such as Python or R
• Experience with GA4 and Google Tag Manager implementation
• Experience with AI in the context of data analysis and business intelligence
• Applying AI to improve sales process, system and data analytics workflows and deliverables
• Work Hours:
• This position will require you to work during scheduled hours from 2 pm - 11 pm (IST)
• Due to the global scope of this role, core business hours may extend to US, Europe and APJ friendly time-zones for some engagements
• Work Loca

Additional Information

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 GitHub, Yelp, Paramount, and JetBlue. We're building a more trustworthy Internet. Come join us. 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.

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