Sales Analytics Manager

About You

• You are a strategic thinker with a strong analytical mindset and a passion for data driven decision making.
• You have a deep understanding of sales processes and metrics, particularly in a SaaS environment.
• You excel at transforming complex data into actionable insights and presenting them in a clear, compelling manner.
• You thrive in a fast paced environment and are comfortable managing multiple priorities.
• You enjoy collaborating with stakeholders at all levels, influencing decisions, and driving measurable impact.
• You have a strong philosophy of report management, including tool selection, organization, and standardization to maintain consistency and accuracy.
• Proven track record of driving process improvements and automation in sales analytics and reporting.

In this job, you will bring these skills

• Proficiency in Sigma Computing or similar BI solutions to develop and manage reporting frameworks.
• Advanced experience with Salesforce, including creating reports, dashboards, and data visualization.
• Strong understanding of SaaS revenue models, including ARR, churn, expansion, and pipeline velocity.
• Experience leading reporting initiatives with a structured change management process to ensure adoption and consistency.
• Knowledge of sales enablement tools like Clari, Outreach, Gong, or similar platforms.
• Experience leveraging advanced predictive analytics techniques to improve revenue forecasting, pipeline health assessment, and risk mitigation. 
• Ability to query and manipulate large datasets for deeper analysis.
• Expertise in presenting data-driven insights through compelling visualizations.

Role Responsibilities + Deliverables

• Create and maintain reports that benchmark sales performance against competitors, identifying strengths and areas for improvement.
• Assess and analyze pipeline generation efforts, providing insights into lead conversion rates, pipeline health, and sales cycle trends.
• Build and refine a suite of standardized reports and dashboards to ensure visibility into key sales metrics.
• Transition existing performance and forecast reports from spreadsheets into automated, scalable reporting solutions.
• Work with sales leadership to enhance forecasting models, incorporating historical data and predictive analytics.
• Conduct deep-dive analyses to identify trends, risks, and opportunities that inform sales strategies and business decisions.
• Define the strategic approach for report tooling and implement scalable BI solutions to support sales analytics.

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