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Key Responsibilities and Required Skills for a Global Sales Analyst

💰 $85,000 - $125,000

SalesAnalyticsBusiness IntelligenceSales Operations

🎯 Role Definition

This role requires a highly analytical and strategic Global Sales Analyst to join our expanding team. This pivotal role is responsible for transforming raw sales data into actionable intelligence that drives revenue growth, enhances sales team productivity, and informs our go-to-market strategy on a global scale. As a Global Sales Analyst, you will be a key partner to sales leadership, providing the critical insights needed to optimize performance, identify new market opportunities, and ensure we are meeting our ambitious sales targets. You are the storyteller behind the numbers, translating complex datasets into clear, compelling narratives that guide strategic decision-making.

📈 Career Progression

Typical Career Path

Entry Point From:

  • Junior Sales Analyst / Sales Analyst
  • Sales Operations Coordinator
  • Business Analyst (with a sales focus)

Advancement To:

  • Senior Global Sales Analyst
  • Sales Analytics Manager
  • Sales Operations Manager
  • Business Intelligence Manager

Lateral Moves:

  • Marketing Analyst
  • Financial Planning & Analysis (FP&A) Analyst
  • Product Analyst

Core Responsibilities

Primary Functions

  • Develop, maintain, and automate comprehensive sales performance dashboards and reports for executive leadership, highlighting key performance indicators (KPIs), trends, and variance against targets.
  • Conduct in-depth analysis of sales pipeline health, conversion rates, and sales cycle velocity to identify bottlenecks and opportunities for process improvement.
  • Perform detailed win/loss analysis by synthesizing data from the CRM and feedback from the sales team to uncover key drivers and competitive insights.
  • Manage and refine the global sales forecasting process, working closely with regional sales leaders to improve accuracy and predictability of revenue streams.
  • Analyze sales team performance against quotas and incentive plans, providing data-driven recommendations for territory alignment, quota setting, and compensation adjustments.
  • Collaborate with Sales and Marketing leadership to measure the effectiveness of go-to-market strategies, lead generation campaigns, and their impact on the sales funnel.
  • Identify and interpret long-term sales trends, market dynamics, and customer behaviors to inform strategic planning and resource allocation.
  • Support the annual and quarterly business planning cycle by providing historical performance analysis and predictive models for goal setting.
  • Act as a subject matter expert on our CRM (e.g., Salesforce), ensuring data integrity, developing new reports, and training sales reps on best practices for data entry.
  • Build and maintain complex data models to track customer lifetime value (CLV), cost of customer acquisition (CAC), and other key SaaS metrics.
  • Translate complex data findings into clear, concise, and actionable insights for non-technical stakeholders through compelling presentations and written summaries.
  • Partner with the Finance department to reconcile sales data with financial reporting and support commission calculation and validation processes.
  • Evaluate and analyze the performance of different sales channels, segments, and regions to recommend strategies for growth and optimization.
  • Develop and monitor key performance indicators (KPIs) for the global sales organization, creating an early-warning system for performance deviations.
  • Conduct deep-dive analyses into specific product lines or customer segments to uncover untapped revenue potential or areas of underperformance.
  • Support the sales leadership team with data and analysis for Quarterly Business Reviews (QBRs), board meetings, and other executive presentations.
  • Drive the enhancement of sales analytics tools and platforms, working with IT and BI teams to scope new requirements and improve data accessibility.
    s- Partner with Sales Enablement to identify coaching opportunities for the sales team based on performance data and activity metrics.
  • Analyze pricing and discount structures to assess their impact on deal velocity and profitability, providing recommendations for optimization.
  • Create and manage a framework for territory and account segmentation, ensuring equitable distribution of opportunities and market coverage.
  • Lead projects to improve data quality and process automation within the sales technology stack, reducing manual effort and increasing reporting reliability.

Secondary Functions

  • Support ad-hoc data requests and exploratory data analysis from sales leadership and other cross-functional teams.
  • Contribute to the organization's data strategy and roadmap by representing the needs of the global sales function.
  • Collaborate with business units to translate data needs into engineering and BI development requirements.
  • Participate in sprint planning and agile ceremonies within the data and analytics team.
  • Assist in the preparation of materials for Quarterly Business Reviews (QBRs) and executive sales meetings.
  • Support the annual sales planning and territory carving process with data-driven models.

Required Skills & Competencies

Hard Skills (Technical)

  • Advanced Excel/Google Sheets: Mastery of pivot tables, complex formulas (VLOOKUP, INDEX/MATCH), data modeling, and macros.
  • CRM Proficiency: Deep expertise in Salesforce (SFDC) or a similar enterprise-level CRM, including reporting, dashboard creation, and understanding of the data object model.
  • Business Intelligence (BI) Tools: Hands-on experience building and maintaining dashboards in tools like Tableau, Power BI, Looker, or Qlik.
  • SQL: Strong ability to write complex queries to extract, manipulate, and analyze data from relational databases.
  • Data Modeling & Forecasting: Proven experience in building statistical models for sales forecasting and predictive analytics.
  • Presentation Skills: Proficiency in PowerPoint and Google Slides to visually represent data and analytical findings to an executive audience.
  • Python or R (Preferred): Familiarity with a scripting language for data analysis and automation is a significant plus.

Soft Skills

  • Analytical & Critical Thinking: The ability to dissect complex problems, identify root causes, and propose data-backed solutions.
  • Storytelling with Data: Capable of translating complex quantitative findings into a clear, compelling, and actionable narrative.
  • Business Acumen: Strong understanding of sales processes, B2B business models (especially SaaS), and key financial metrics.
  • Attention to Detail: Meticulous approach to data quality, accuracy, and analysis to ensure trustworthy insights.
  • Communication & Interpersonal Skills: Excellent verbal and written communication skills to collaborate effectively with stakeholders at all levels, from sales reps to C-suite executives.
  • Proactive & Self-Motivated: A results-oriented mindset with the ability to manage multiple projects simultaneously in a fast-paced environment.

Education & Experience

Educational Background

Minimum Education:

  • Bachelor’s Degree is required.

Preferred Education:

  • Master’s Degree (e.g., MBA, MS in Analytics, Statistics, or a related field) is highly desirable.

Relevant Fields of Study:

  • Business Administration
  • Finance / Economics
  • Statistics / Mathematics
  • Data Science / Analytics
  • Computer Science

Experience Requirements

Typical Experience Range:

  • 3-5+ years of experience in a sales analytics, business analytics, or sales operations role.

Preferred:

  • Direct experience supporting a global enterprise sales organization.
  • Experience in a high-growth technology or B2B SaaS environment.
  • Proven track record of providing insights that have directly influenced sales strategy and revenue growth.
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