Manager, Revenue Operations Analytics

Smartsheet

. Lead and grow Smartsheet's India-based analytics team in Bangalore .

Posted 10/3/2026full-timeBangalore • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong leadership in managing analytics teams, with expertise in SQL and business intelligence tools to drive data-driven decision-making. Proven ability to translate complex business questions into actionable insights and recommendations for sales and go-to-market strategies.

Highest-signal resume keywords

SQL ExpertisePeople ManagementBusiness Intelligence ToolsRevenue Operations AnalyticsData Presentation Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data PreparationData ModelingData VisualizationStatistical TechniquesPipeline Analytics

Soft Skills

Strong CommunicationMentorshipTeam Development

Tools & Technologies

TableauLookerPower BI

Industry Keywords

Revenue OperationsGo-To-Market AnalyticsCloud AnalyticsSaaS AnalyticsCross-Functional Collaboration

Tech Stack

Tools & technologies

CloudSQLTableau

About the role

Key responsibilities & impact

Lead and grow Smartsheet's India-based analytics team in Bangalore
Directly manage 5 Senior Revenue Operations Analysts and 1 Data Engineer, providing guidance, coaching, and operational support
Set priorities, ensure high-quality and timely outputs, and own performance management including merit reviews and calibrations
Support career growth through 1:1s, skill-gap identification, mentorship, and development opportunities
Partner with HR on recruiting, onboarding, and workforce planning
Serve as the primary analytics business partner for Global Sales and GTM leaders
Lead execution across pipeline health, retention, sales productivity, territory performance, services utilization, and commission planning
Create, evolve, and maintain Sales reporting infrastructure
Mine large datasets to surface insights and monitor anomalies and data quality issues
Partner with Bangalore BI and Data Engineering teams to build scalable analytics solutions and ensure data pipelines meet team needs
Present findings to technical and non-technical stakeholders, including senior GTM leadership
Translate functional plans into operational processes and manage work intake, project tracking, stakeholder updates, and milestone reviews
Recommend and implement process improvements to increase team throughput and analytical quality
Maintain overlap with North America Pacific Time leadership
Build relationships between Revenue Operations Analytics and the broader data platform organization

Requirements

What you’ll need

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, with ability to present data and findings clearly to 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 including time series analysis, cluster analysis, and multivariate modeling
Nice to have: familiarity with data engineering concepts and collaboration with a data engineer on pipeline and infrastructure work
Nice to have: Channel / Partner GTM experience
Nice to have: experience working in a global, matrixed organization with cross-functional teams across time zones
Nice to have: prior experience partnering with BI or Data Engineering teams in a shared-service model

Benefits

Comp & perks

Equal employment opportunity employer
Inclusive work environment
Freedom to explore, push boundaries, and grow beyond the role
Support for ideas, potential, and contributions
Interview accommodations upon request