Revenue Operations Analyst

Jobgether SRL; Canada; Remote; CAD 70,000 - 95,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

RRSP matching

Paid time off

Employee assistance

Volunteer day

Tuition reimbursement

Career advancement

Remote work Canada

Impact on revenue

Skill development

Job summary

Lever, Inc. is seeking a Revenue Operations Analyst based in Canada to help sales teams achieve scalable growth through data-driven insights, performance analysis, and operational excellence.

You will partner with sales leadership to optimize forecasting and decision-making, develop dashboards, and implement AI-powered tools to streamline workflows. You will collaborate with Marketing, Finance, Product, and other teams, build scalable reporting structures, design experiments, and identify

Qualifications

• Bachelor's degree in a business/analytic field.
• Experience in analytical roles related to Sales/Revenue operations.
• Proficiency with dashboards and BI tools (Tableau/Domo/Power BI/Looker).
• Strong Excel skills with advanced formulas and pivot tables.
• CRM experience, especially Salesforce, for reports and data management.
• Experience with AI/automation tools is an asset.
• Understanding of sales processes, forecasting, and revenue metrics.
• Ability to translate data into actionable business recommendations.

Responsibilities

• Partner with sales leadership to provide data-driven recommendations and forecasting support.
• Develop and maintain dashboards, scorecards, and KPIs to monitor attainment and pipeline health.
• Design tools to prioritize high-value activities and improve funnel efficiency.
• Support territory assignments, quota setting, incentive tracking, and CRM data management.
• Develop and evaluate A/B tests and cohort analyses to measure strategies.
• Build repeatable reporting workflows for growing sales teams and complex operations.
• Identify bottlenecks and propose practical improvements to sales effectiveness.
• Collaborate with Marketing, Finance, Product to align revenue operations initiatives.
• Query, transform, and model data to uncover trends and insights.
• Leverage AI and automation to scale reporting and analytics.
• Monitor performance trends and communicate findings to stakeholders.

Skills

Data analysis

Forecasting

Stakeholder communication

Cross-functional collaboration

Education

Bachelor's degree in Business, Economics, Statistics, Data Science

Tools

Tableau

Domo

Power BI

Looker

Excel

Salesforce

SQL

Python

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Revenue Operations Analyst based in Canada.

As a Revenue Operations Analyst, you will play a key role in helping sales teams achieve scalable growth through data-driven insights, performance analysis, and operational excellence. You will partner with sales leadership to optimize productivity, improve forecasting, and strengthen decision-making across the revenue organization. By developing dashboards, performance metrics, and reporting frameworks, you will turn complex data into actionable strategies that drive measurable business results. You will also use experimentation, automation, and AI-powered tools to streamline workflows and improve sales effectiveness. Working cross-functionally with Sales, Marketing, Finance, and Product teams, you will help build scalable processes that support an expanding organization. This remote opportunity is ideal for an analytical and proactive professional who enjoys solving business challenges, improving systems, and making a tangible impact on revenue performance.

Accountabilities:

• Sales leadership and strategic insights: Partner with sales leaders to provide data-driven recommendations, forecasting support, and performance analysis that inform strategic and operational decisions.
• Sales performance management: Develop and maintain reporting frameworks, dashboards, scorecards, and key performance indicators to monitor sales attainment, individual and team productivity, and pipeline health.
• Productivity and prioritization: Design tools and frameworks that help sales representatives focus on high-value activities, prioritize accounts effectively, and improve efficiency throughout the sales funnel.
• Sales operations and administration: Support and optimize territory assignments, quota setting, incentive tracking, and CRM data management to reduce administrative workloads and improve reporting accuracy.
• Experimental design and analysis: Develop and evaluate A/B tests, pilot programs, and cohort analyses to measure the effectiveness of sales strategies, incentive programs, and operational changes.
• Scalable reporting and processes: Build repeatable workflows, dashboards, and reporting structures that enable effective management of growing sales teams and increasingly complex operations.
• Operational improvement: Identify bottlenecks, analyze workflow inefficiencies, and recommend practical improvements that strengthen sales effectiveness, resource allocation, and market coverage.
• Cross-functional collaboration: Work closely with Marketing, Finance, Product, and other relevant stakeholders to align revenue operations initiatives with broader business objectives.
• Data analysis and modeling: Extract, transform, analyze, and structure data to identify trends, uncover opportunities, and support evidence-based business decisions.
• AI and automation: Leverage AI-powered tools and automation solutions to streamline reporting, improve analytical efficiency, and scale operational insights.
• Continuous optimization: Monitor sales processes and performance trends, communicate findings to stakeholders, and recommend initiatives that support accountability and ongoing improvement.

Requirements:

• Hold a bachelor's degree in Business, Economics, Statistics, Data Science, or a related discipline.
• Have at least 2 years of experience in a highly analytical role within Sales Operations, Revenue Operations, business analysis, or a comparable function.
• Demonstrate advanced proficiency with data visualization and business intelligence tools such as Tableau, Domo, Power BI, or Looker, including the ability to build clear, impactful dashboards.
• Possess expert-level Microsoft Excel skills, including pivot tables, VLOOKUPs, advanced formulas, and other techniques for analyzing and organizing complex datasets.
• Have strong hands-on experience with CRM platforms, particularly Salesforce, including report generation, dashboard development, and sales data management.
• Demonstrate practical experience using AI or automation tools to improve workplace efficiency, streamline operational processes, or scale reporting and analytical capabilities.
• Possess a solid understanding of sales processes, pipeline management, revenue performance indicators, sales productivity metrics, and forecasting principles.
• Have strong analytical and moderately advanced technical skills, including the ability to query, transform, model, and interpret data to generate actionable business insights.
• Communicate complex analytical findings clearly and effectively to non-technical stakeholders, translating data into practical recommendations and business strategies.
• Demonstrate strategic thinking, attention to detail, and a structured approach to problem-solving, with the ability to connect analytical findings to broader business objectives.
• Be comfortable working independently, managing multiple projects simultaneously, prioritizing competing demands, and adapting to a fast-paced environment.
• Experience with SQL or Python for data extraction, transformation, and modeling is an asset.
• Knowledge of lead scoring, account-based marketing (ABM), and customer lifecycle management is considered a plus.
• Be willing to travel occasionally when required, approximately 2–5 times per year.

Benefits:

• Competitive compensation: Annual salary ranging from CAD $70,000 to CAD $95,000, depending on experience, qualifications, skills, and other relevant factors.
• Healthcare coverage: Medical, dental, and vision benefits to support employee well-being.
• Retirement savings: Employer-matched RRSP contributions for Canadian employees.
• Paid time off: Vacation, personal, and sick leave to support work-life balance.
• Employee assistance program: Access to resources and support designed to promote personal well-being.
• Community involvement: Employer-paid volunteer time through a dedicated service day.
• Professional development: Tuition reimbursement for eligible programs to support ongoing learning and career growth.
• Career advancement: Opportunities to expand technical and analytical expertise, share knowledge, and pursue internal promotions across a global organization.
• Remote flexibility: Work remotely from Canada while collaborating with cross-functional teams.
• Meaningful business impact: Contribute directly to sales performance, revenue growth, operational scalability, and data-driven decision-making.
• Innovation and skill development: Gain practical experience with business intelligence, AI-powered tools, automation, and advanced revenue operations strategies.

We appreciate your interest and wish you the best!