Senior Analyst, Revenue Analytics

Description

• Deep-Dive Analysis: Conduct ad-hoc and recurring deep-dive analyses into sales performance at the individual, team, and segment level to identify trends, root causes, and areas for strategic improvement.
• Presentation Support: Prepare and visualize data for executive-level presentations, translating complex analytical findings into clear, compelling slides and narratives for key stakeholders.
• Data Expertise: Be the go-to expert for sales data within our CRM (Salesforce, MS Dynamics, etc.) and other supporting business systems.
• Executive Insights: Respond to high-priority ad-hoc executive requests with timely, insightful analysis within a 48-hour turnaround time.
• ETL Support: Assist the Sr. Manager with data consolidation efforts, helping to prepare and transform data from disparate sources for unified analysis and modeling.
• Cross-Divisional Consistency: Enforce KPI consistency across all T&L divisions to enable standardized performance comparisons and executive-level reporting.
• Metric Standardization: Standardize KPI dictionary and establish a single source of truth for metrics to ensure data consistency and reliability across the T&L segment.
• Metric Development: Own the creation, maintenance, and distribution of key sales performance reports and dashboards that track KPIs, including sales cycles, conversion rates, bookings, and churn/retention.
• Monthly Review: Conduct monthly KPI review and 'plan vs. actuals' variance analysis to provide comprehensive performance summaries to leadership.
• Pipeline Health Analysis: Analyze the health and velocity of the sales pipeline, providing regular reports on stage-to-stage conversion and activity effectiveness to pinpoint bottlenecks.
• Data Quality Assurance: Proactively monitor and audit data integrity across various systems, working with cross-functional teams to resolve inconsistencies and ensure reliable reporting.
• Forecasting & Risk Analysis: Support the Sr. Manager by compiling, validating, and analyzing the data required for the division’s strategic sales forecasting models. Deliver weekly forecast analytics complete with risk commentary and variance bridges explaining deviations from plan.
• Unified Reporting Implementation: Actively support the unified reporting and analytics implementation across the segment, partnering with other teams to drive adoption and best practices for common data consumption.

Requirements

• Technical Proficiency: Strong proficiency in SQL for data extraction and manipulation is required.
• Data Modeling: Foundational understanding of statistical analysis and data modeling principles.
• Revenue Intelligence (RI) Platforms: Hands-on experience extracting, modeling, and analyzing data from a Revenue Intelligence platform (e.g., Gong, Chorus, Clari) is required.
• Data Visualization: Hands-on experience building dynamic dashboards and reports using visualization tools such as AWS Quicksight, Tableau, Power BI, or similar.
• Experience: Proven experience (3+ years) in a highly analytical role such as Business Analyst, Data Analyst, or Sales Analyst, preferably supporting a B2B sales organization.
• CRM Expertise: Strong working knowledge of a major CRM platform (e.g., Salesforce, MS Dynamics) and how to extract data from it.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance