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

> Lead and grow a Bangalore revenue analytics team, driving pipeline, retention and sales productivity insights for global GTM leadership.

- Company: Smartsheet (smartsheet.com)
- Location: Bangalore, INDIA
- Places: Bengaluru, India
- Posted: 2026-10-03
- Level: Senior
- Team: Revenue Operations Analytics
- Reports to: Sr Manager, Revenue Operation Analytics
- Work mode: Hybrid
- Apply: https://job-boards.greenhouse.io/smartsheet/jobs/8250897
- Page: https://ye.saranatour.dev/jobs/manager-revenue-operations-analytics-revops-hybrid-bangalore-smartsheet-kn71hawn8tp85ynm7x91yntx6h8hcs4t

## The posting

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

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
- Analytics Execution & Business Partnership
- Operations & Cross-Functional Collaboration

**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:**

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