Manager, Revenue Operations Analytics / Revops (Hybrid- Bangalore)

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.

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).

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.

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.

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