Revenue Operations Analyst

About the company

• Partner company driving scalable business growth through data-driven insights and operational strategies.

Responsibilities

• Partner with sales leaders to provide data-driven insights, forecasting assistance, and performance analysis.
• Develop and maintain dashboards, scorecards, reporting frameworks, and key performance indicators.
• Create analytical frameworks and practical tools to help sales representatives prioritize high-value activities.
• Support and streamline territory assignments, quota setting, incentive tracking, and CRM data management.
• Design and analyze A/B tests, pilot programs, and cohort analyses.
• Build repeatable reporting structures, dashboards, and operational workflows.
• Identify process bottlenecks, assess workflow inefficiencies, and recommend improvements.
• Extract, transform, analyze, and model data to uncover trends and generate actionable recommendations.
• Apply AI-powered tools and automation technologies to streamline reporting.
• Work closely with Marketing, Finance, Product, and other teams.
• Communicate findings clearly and recommend data-backed initiatives.

Requirements

• Bachelor's degree in Business, Economics, Statistics, Data Science, or a related field.
• At least 2 years of experience in a highly analytical role within Sales Operations, Revenue Operations, business analysis, or similar.
• Advanced proficiency with data visualization and business intelligence platforms such as Tableau, Domo, Power BI, or Looker.
• Expert-level Microsoft Excel skills, including pivot tables, VLOOKUPs, advanced formulas.
• Strong experience with CRM systems, particularly Salesforce.
• Hands-on experience using AI or automation tools.
• Strong understanding of sales processes, revenue performance metrics, pipeline management, forecasting, and sales productivity measurement.
• Solid analytical and technical skills, including ability to query, transform, organize, and model data.
• Communicate complex analytical findings clearly to non-technical stakeholders.
• Strategic thinking, attention to detail, and strong problem-solving skills.
• Ability to work independently and manage multiple projects.
• Experience with SQL or Python is an asset.
• Familiarity with lead scoring, account-based marketing (ABM), and customer lifecycle management is an advantage.
• Willingness to travel occasionally, approximately 2–5 times per year.

Conditions

• Annual salary ranging from $70,000 to $95,000 USD.
• Medical, dental, and vision coverage.
• Employer contributions to Health Savings Accounts (HSA) and Flexible Spending Account (FSA) options.
• Employer-matched 401(k) plan with immediate vesting.
• Paid time off.