Revenue Operations Analyst

Jobgether SRL; United States; A distancia; USD 70.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Comprehensive healthcare

401(k) with employer match

Paid time off

Descripción de la vacante

Jobgether SRL is seeking a data-driven Revenue Operations professional to lead analytics for sales leadership and CRM optimization from a remote U.S. location.

You will build dashboards, monitor performance, and collaborate with Marketing, Finance, and Product to align revenue initiatives with business goals. Strong SQL/Python, Excel, and Salesforce experience are essential.

Formación

• Bachelor's degree in Business, Economics, Statistics, Data Science, or related field.
• At least 2 years in a highly analytical role within Sales Operations, Revenue Operations, or similar.
• Proficient with data visualization platforms and Excel; Salesforce experience required.

Responsabilidades

• Lead data-driven insights, forecasting, and performance analysis to support revenue growth.
• Develop dashboards, scorecards, and KPIs for pipeline health and attainment.
• Build analytical frameworks and tools to improve sales efficiency and focus on high-value accounts.
• Support territory assignments, quota settings, and CRM data management.
• Design and analyze A/B tests to optimize sales strategies and incentives.

Conocimientos

BI dashboards

Excel advanced

Salesforce

AI/automation tools

SQL/Python asset

Sales process knowledge

Data modeling

Communication of insights

Strategic thinking

Independent work

Educación

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

Herramientas

Tableau / Domo / Power BI / Looker

Descripción del empleo

Accountabilities:

• Sales leadership and strategic support: Partner with sales leaders to provide data-driven insights, forecasting assistance, and performance analysis that inform strategic decisions and support revenue growth.
• Performance monitoring and reporting: Develop and maintain dashboards, scorecards, reporting frameworks, and key performance indicators to track sales attainment, individual and team productivity, and pipeline health.
• Sales productivity optimization: Create analytical frameworks and practical tools that help sales representatives prioritize high-value activities, focus on the most promising accounts, and improve efficiency throughout the sales funnel.
• Sales operations administration: Support and streamline territory assignments, quota setting, incentive tracking, and CRM data management to reduce administrative workloads and maintain accurate reporting.
• Experimentation and performance insights: Design and analyze A/B tests, pilot programs, and cohort analyses to evaluate sales strategies, incentive structures, and process improvements.
• Scalable processes and systems: Build repeatable reporting structures, dashboards, and operational workflows that support the effective management of larger and more complex sales teams.
• Operational excellence: Identify process bottlenecks, assess workflow inefficiencies, and recommend improvements that enhance sales effectiveness, productivity, and market coverage.
• Data analysis and modeling: Extract, transform, analyze, and model data to uncover trends, identify performance gaps, and generate actionable recommendations for business stakeholders.
• AI and automation initiatives: Apply AI-powered tools and automation technologies to streamline reporting, improve analytical workflows, and scale the delivery of business insights.
• Cross-functional collaboration: Work closely with Marketing, Finance, Product, and other relevant teams to align revenue operations initiatives with broader organizational priorities.
• Continuous improvement: Communicate findings clearly, promote accountability through performance reporting, and recommend data-backed initiatives that improve sales processes and business outcomes.

Requirements:

• Hold a bachelor's degree in Business, Economics, Statistics, Data Science, or a related field.
• Have at least 2 years of experience in a highly analytical role within Sales Operations, Revenue Operations, business analysis, or a similar function.
• Demonstrate advanced proficiency with data visualization and business intelligence platforms such as Tableau, Domo, Power BI, or Looker, including the ability to create effective, decision-oriented dashboards.
• Possess expert-level Microsoft Excel skills, including pivot tables, VLOOKUPs, advanced formulas, and complex data analysis techniques.
• Have strong experience with CRM systems, particularly Salesforce, including report generation, dashboard creation, and sales data management.
• Demonstrate hands-on experience using AI or automation tools to improve productivity, streamline operational processes, or scale reporting and analytical insights.
• Possess a strong understanding of sales processes, revenue performance metrics, pipeline management, forecasting, and sales productivity measurement.
• Have solid analytical and technical skills, including the ability to query, transform, organize, and model data to support business decisions.
• Communicate complex analytical findings clearly and effectively, translating data into practical recommendations for non-technical stakeholders at different organizational levels.
• Demonstrate strategic thinking, attention to detail, and strong problem-solving skills, with the ability to connect analytical insights to business objectives.
• Be capable of working independently, managing multiple projects, prioritizing competing demands, and adapting to a fast-paced, evolving business environment.
• Experience with SQL or Python for data extraction and modeling is considered an asset.
• Familiarity with lead scoring, account-based marketing (ABM), and customer lifecycle management is an advantage.
• Be willing to travel occasionally as required, approximately 2–5 times per year.

Benefits:

• Competitive compensation: Annual salary ranging from $70,000 to $95,000 USD , depending on experience, skills, qualifications, and other relevant factors.
• Comprehensive healthcare: Medical, dental, and vision coverage to support employee health and well-being.
• Health spending benefits: Employer contributions to Health Savings Accounts (HSA) and access to Flexible Spending Account (FSA) options, subject to eligibility.
• Retirement savings: Employer-matched 401(k) plan with immediate vesting.
• Paid time off: Vacation, personal, and sick leave to support work-life balance.
• Paid parental leave: Maternity and paternity leave benefits for eligible employees.
• Financial protection: Employer-paid short-term disability, long-term disability, life insurance, and accidental death and dismemberment (AD&D) coverage, subject to eligibility.
• Employee assistance: Access to a comprehensive Employee Assistance Program.
• Community engagement: Employer-paid volunteer time through a dedicated service day.
• Professional development: Tuition reimbursement for eligible educational programs and opportunities to expand technical and analytical expertise.
• Career advancement: Opportunities for internal promotions, diverse career paths, and professional growth within a global, publicly traded organization.
• Remote flexibility: Work remotely from the United States while collaborating with cross-functional teams.
• Innovation and impact: Gain hands-on experience with analytics, AI, automation, and scalable revenue operations initiatives that directly support business performance.