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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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