For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.

Smartsheet is hiring a Manager, Revenue Operations Analytics to lead and grow our India-based analytics team in Bangalore. This is a senior people management role at the intersection of analytical strategy and operational execution — you will own the day-to-day leadership of five Senior Revenue Operations Analysts and one Data Engineer, while serving as a key strategic partner to Go-To Market (GTM) leadership globally.

You will drive the analytical agenda that informs Smartsheet’s growth strategy, aligning data and analysis around pipeline health, sales productivity, retention, territory effectiveness, services utilization, and commission planning. Your team will be at the center of how the GTM organization understands its business and makes decisions.

This role is designed to bring senior analytical leadership into the IST time zone, providing direct, timezone-aligned support to the India-based team while maintaining meaningful overlap with North America Pacific Time leadership. You will also be a bridge to Smartsheet’s Bangalore BI and Data Engineering teams, deepening the partnership between Revenue Operations and the broader data platform organization.

You will report to our Sr Manager, Revenue Operation Analytics.

You Will:

• People Leadership & Team Development

  • Directly manage 5 Senior Revenue Operations Analysts and 1 Data Engineer in Bangalore, providing day-to-day guidance, coaching, and operational support.
  • Set clear priorities, hold the team accountable for high-quality and timely outputs, and own performance management including merit reviews and calibrations.
  • Support career growth through regular 1:1s, identifying skill gaps, and coordinating mentorship and development opportunities.
  • Partner with HR on recruiting, onboarding, and workforce planning for the Bangalore team.

• Analytics Execution & Business Partnership

  • Act as the primary analytics business partner out of our Bangalore office for Global Sales and GTM leaders, translating business questions into structured analysis, reports, and recommendations.
  • Lead team execution across Revenue Operations priorities: pipeline health, retention, sales productivity, territory performance, services utilization, and commission planning.
  • Help create, evolve, and maintain the Sales reporting infrastructure; mine large datasets to surface insights and monitor for anomalies and data quality issues.
  • Partner with Bangalore BI and Data Engineering teams to build scalable analytics solutions and ensure data pipelines meet the team’s needs.
  • Present findings clearly to stakeholders across the organization — from peer teams to senior GTM leadership — for both technical and non-technical audiences.

• Operations & Cross-Functional Collaboration

  • Translate functional plans into operational processes; manage team work intake, project tracking, stakeholder updates, and milestone reviews.
  • Recommend and implement process improvements that increase team throughput and analytical quality.
  • Maintain flexible overlap with North America Pacific Time leadership to stay aligned on priorities, decisions, and escalations.
  • Build strong relationships with the Bangalore BI and Data Engineering organizations, connecting Revenue Operations Analytics to the broader data platform.

You Have:

• 8+ years of progressive experience in analytics, revenue operations, or a related quantitative discipline.
• 2+ years of direct people management experience, with demonstrated ability to develop and support a team of analysts.
• Deep expertise in SQL and data preparation for analysis, modeling, and visualization.
• Experience with business intelligence tools (Tableau, Looker, Power BI, or equivalent).
• Proven ability to translate business questions into analysis, reports, and recommendations for Sales or GTM stakeholders.
• Experience in Cloud or SaaS go-to-market analytics (pipeline, ARR, retention, sales productivity, or similar).
• Strong communication skills — able to present data and findings clearly to both technical and non-technical audiences.
• Comfortable with flexible working hours to maintain overlap with North American Pacific Time leadership.
• Bachelor’s degree in a quantitative field (engineering, mathematics, statistics, economics, business, or computer science).

Nice to Have:

• Experience with statistical techniques: time series analysis, cluster analysis, multivariate modeling.
• Familiarity with data engineering concepts and ability to collaborate effectively with a data engineer on pipeline and infrastructure work.
• Channel / Partner GTM experience.
• Experience working in a global, matrixed organization with cross-functional teams across time zones.
• Prior experience partnering with BI or Data Engineering teams in a shared-service model.

Get to Know Us:

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

Equal Opportunity Employer:

Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

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Manager, Revenue Operations Analytics Career Guide

Job Overview

The Manager, Revenue Operations Analytics at Smartsheet is responsible for leading an analytics team in Bangalore. This senior role focuses on guiding analysts and data engineers while partnering with global leadership to drive business insights and strategic decisions that enhance sales performance and pipeline management.

Key Responsibilities

• Manage and develop a team of analysts and data engineers.
• Act as the primary analytics partner for global sales leaders.
• Drive analytical initiatives related to sales productivity, retention, and performance.
• Support operational processes and project management for the analytics team.
• Collaborate with BI and Data Engineering teams for scalable solutions.

Required Skills and Knowledge

Technical Skills

• Proficiency in SQL for data analysis and preparation.
• Experience with business intelligence tools (Tableau, Looker, Power BI).
• Deep understanding of revenue operations analytics in Cloud or SaaS environments.

Soft Skills

• Strong communication skills for presenting findings to diverse audiences.
• Ability to manage a team and support their career development.
• Problem-solving skills to translate business questions into actionable insights.

Tools and Technologies

• SQL, Tableau, Looker, Power BI, or similar tools.
• Familiarity with data engineering and pipeline infrastructure.

Certifications or Training

• Certifications in analytics, data science, or business intelligence can enhance your candidacy.

Interview Preparation

10 Common Interview Questions

• What experience do you have leading analytics teams?
• Can you share an example of a successful project you managed?
• How do you prioritize tasks within your team?
• Describe a time you presented complex data to a non-technical audience.
• What tools do you use for data visualization, and why?
• How do you ensure data quality in your analysis?
• Can you explain your experience with revenue operations analytics?
• How would you handle conflicts within your team?
• What strategies do you use for team mentorship and development?
• Describe your approach to collaborating with cross-functional teams.

Advice on How to Answer Them

Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on specific examples that demonstrate your skills and experience. Be prepared to highlight your analytical thinking and leadership abilities.

Important Topics Candidates Should Review

• Revenue operations frameworks and metrics.
• Data visualization best practices.
• Team management and development strategies.

How to Increase Your Hiring Chances

CV Improvement

• Highlight relevant experience in analytics and team management.
• Use quantifiable achievements to demonstrate impact.
• Ensure clarity and conciseness in formatting.

LinkedIn Profile Optimization

• Update your profile to reflect relevant skills and experience.
• Engage with industry content and showcase your expertise.
• Connect with professionals in the analytics and revenue operations space.

Portfolio or Project Ideas

• Develop sample dashboards or reports using business intelligence tools.
• Document case studies of successful analytics projects you’ve led.

Learning Recommendations

• Consider online courses or certifications in analytics and data visualization.
• Stay updated on trends in revenue operations and SaaS analytics.

Career Growth

In this role, you can progress to senior leadership positions such as Director of Revenue Operations or Chief Data Officer, overseeing larger teams and broader strategic initiatives across the organization. Continuous learning and networking can further enhance your career trajectory.

How to Apply

Apply for this position through the original job source:

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