Staples is seeking a Senior Data Analyst, Sales Operations in Framingham, Massachusetts. The role supports lead generation strategy and execution through advanced analytics, reporting, data management, and process improvement. It leverages large datasets from internal and external sources to provide actionable insights, monitor business performance, improve lead quality, and drive data-informed decision making. This position also contributes to AI and automation initiatives while ensuring data integrity and operational excellence across sales operations. Responsibilities include analyzing large datasets using SQL, Snowflake, Excel, and business intelligence tools to identify trends and opportunities; developing and maintaining dashboards and reports measuring lead generation performance, match rates, deployment volume, pipeline contribution, and other key metrics; conducting ad hoc analyses to identify root causes and opportunities; leveraging data from internal systems and third-party providers to evaluate lead quality and improve targeting; leading data-focused projects with cross-functional stakeholders to drive operational improvements and business outcomes; monitoring data quality through validation processes, audits, and continuous improvement initiatives; translating analytical findings into actionable recommendations to influence sales strategy and pipeline growth; supporting lead deployment processes, including audience selection, matching, enrichment validation, and Salesforce data management activities; developing and overseeing quality programs for offshore team

Staples is seeking a Senior Data Analyst, Sales Operations in Framingham, Massachusetts. The role supports lead generation strategy and execution through advanced analytics, reporting, data management, and process improvement. It leverages large datasets from internal and external sources to provide actionable insights, monitor business performance, improve lead quality, and drive data-informed decision making. This position also contributes to AI and automation initiatives while ensuring data integrity and operational excellence across sales operations. Responsibilities include analyzing large datasets using SQL, Snowflake, Excel, and business intelligence tools to identify trends and opportunities; developing and maintaining dashboards and reports measuring lead generation performance, match rates, deployment volume, pipeline contribution, and other key metrics; conducting ad hoc analyses to identify root causes and opportunities; leveraging data from internal systems and third-party providers to evaluate lead quality and improve targeting; leading data-focused projects with cross-functional stakeholders to drive operational improvements and business outcomes; monitoring data quality through validation processes, audits, and continuous improvement initiatives; translating analytical findings into actionable recommendations to influence sales strategy and pipeline growth; supporting lead deployment processes, including audience selection, matching, enrichment validation, and Salesforce data management activities; developing and overseeing quality programs for offshore team