Senior Sales Analyst

Accountabilities

• Partner with analytics leadership to translate business priorities and questions into structured, decision-ready analysis.

• Analyze customer engagement, product adoption, account performance, retention, and revenue trends to identify actionable insights.

• Own monthly and quarterly reporting for core sales metrics, including cross-sell, upsell, churn, and customer performance.

• Extract, transform, and analyze data from Snowflake and other cloud data sources for recurring reporting and ad hoc business requests.

• Design, build, and maintain dashboards and reports using modern business intelligence tools, turning complex datasets into accessible and actionable views.

• Support presentations for senior leadership by developing clear narratives around sales, customer, and product performance trends.

• Collaborate with Sales, Customer Success, Product, Analytics, and other cross-functional teams to deepen understanding of customer behavior and engagement drivers.

• Apply standardized data definitions and governance practices to improve consistency, accuracy, and confidence in reporting.

• Maintain strong quality and process standards while managing multiple analytical priorities and deadlines.

Requirements

• 4–7 years of experience in sales analytics, revenue analytics, customer analytics, or a closely related field, with direct exposure to customer engagement and account-level data.

• Demonstrated experience analyzing customer success metrics, product usage, engagement trends, and commercial performance to inform business decisions.

• Strong SQL skills and hands-on experience working with Snowflake or a comparable cloud data warehouse.

• Proven ability to build reports and dashboards using BI platforms such as Tableau, Power BI, or Looker, including calculations, visualizations, and data models.

• Strong analytical and problem-solving skills, with the ability to frame business questions as hypotheses and validate them through data.

• Ability to translate technical findings and complex datasets into concise, compelling stories for non-technical stakeholders and senior leadership.

• Excellent communication and interpersonal skills, with the ability to build trust and influence across Sales, Customer Success, Product, and Analytics teams.

• Highly organized, detail-oriented, proactive, and committed to data quality and reliable processes.

• Working knowledge of data governance principles, policies, and standards.

• Collaborative mindset and the ability to work effectively across departments in a fast-paced environment.

• Experience with Salesforce is a plus.

• Exposure to modern data-stack technologies such as dbt is an advantage.

• A Bachelor’s degree is preferred.

Benefits

• Equity opportunity for employees.

• Flexible annual leave, paid holidays, and volunteer days.

• Comprehensive private benefits, including medical insurance for employees and their families.

• Life insurance coverage equivalent to 3x compensation.

• Personal accident insurance.

• Fertility support.

• Paid parental leave.

• Employee Assistance Program.

• Inclusive and collaborative working environment with opportunities to work cross-functionally.

• Remote interview process, with on-camera participation expected during video interviews subject to reasonable accommodations.

• Accessibility accommodations are available throughout the recruitment and employment process.