Revenue Operations Data Engineer – Hybrid, Bangalore

Smartsheet

Revenue Operations Data Engineer improving Smartsheet’s sales reporting and analytics infrastructure. Supporting pipeline optimization, KPIs, data quality, and strategic decisions for Smartsheet’s go-to-market organization.

Posted 9/11/2026full-timeBangalore • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data analysis, reporting infrastructure, and data governance, with a strong focus on SQL, Python, and business intelligence tools. Capable of collaborating with cross-functional teams to drive strategic decision-making and improve reporting processes.

Highest-signal resume keywords

SQL ExpertisePython Data EngineeringBusiness Intelligence ToolsData GovernanceAnalytics Reporting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ModelingStatistical AnalysisKPI DevelopmentETL ProcessesData VisualizationData Quality MonitoringReport AutomationCloud Environment ManagementData Mining

Soft Skills

Technical GuidanceCollaborationCommunication

Tools & Technologies

TableauPowerBILookerGitSmartsheet

Industry Keywords

Sales AnalyticsCloud and SaaS GTMData IntegrityReporting ProcessesStrategic Decision-Making

Tech Stack

Tools & technologies

CloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Create, evolve, and maintain reporting infrastructure for the Sales organization
Partner with engineering, data science, and analytics teams to build scalable analytics solutions and reporting capabilities
Mine large datasets to ensure data accuracy and completeness
Analyze and monitor data for anomalies, data quality, and report consistency
Support commission and territory planning with analytical reports and data
Develop and maintain KPIs for sales performance, pipeline health, and critical metrics
Automate report generation and distribution
Provide technical guidance to junior analysts on ETL processes and reporting best practices
Ensure data governance and integrity across reporting tools and platforms
Identify and propose improvements to reporting processes and systems
Support Smartsheet's growth strategy through data analysis and work with senior leadership on strategic decision-making

Requirements

What you’ll need

Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics)
5+ years of experience in an analytics role with increasing responsibility
Experience in Cloud and SaaS go-to-market (GTM)
Expertise in SQL and preparing data for analysis, modeling, and visualization
Proficient in Git
Experience using Python to manage Data Engineering workflows in a cloud environment
Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.
Experience with statistics (time series analysis, cluster analysis, multivariate analysis)
Experience publishing and presenting data and findings to executives and non-data users

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Smartsheet Website LinkedIn All Job Openings 1001 - 5000 employees Founded 2005 💼 Consulting 🏥 Healthcare 📣 Marketing Consulting
Healthcare
Marketing Smartsheet is a platform designed to manage projects, automate workflows, and build solutions at scale. It offers a wide range of features including automation, team collaboration, dashboards and reporting, and integrations, allowing businesses to streamline their operations. The platform caters to diverse use cases such as project management, IT portfolio management, marketing management, and more, serving various industries including government, finance, and healthcare. Smartsheet also emphasizes security and data protection, ensuring users' data privacy. Additionally, it offers professional services like consulting, training, and implementation support to maximize the platform's capabilities. Revenue Operations Data Engineer – Hybrid, Bangalore 🔥 1 hour ago 🏢🏡 Bangalore – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 👻 Ghost score 10% Cloud ETL Python SQL Tableau Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Create, evolve, and maintain reporting infrastructure for the Sales organization
Partner with engineering, data science, and analytics teams to build scalable analytics solutions and reporting capabilities
Mine large datasets to ensure data accuracy and completeness
Analyze and monitor data for anomalies, data quality, and report consistency
Support commission and territory planning with analytical reports and data
Develop and maintain KPIs for sales performance, pipeline health, and critical metrics
Automate report generation and distribution
Provide technical guidance to junior analysts on ETL processes and reporting best practices
Ensure data governance and integrity across reporting tools and platforms
Identify and propose improvements to reporting processes and systems
Support Smartsheet's growth strategy through data analysis and work with senior leadership on strategic decision-making 🎯 Requirements
Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics)
5+ years of experience in an analytics role with increasing responsibility
Experience in Cloud and SaaS go-to-market (GTM)
Expertise in SQL and preparing data for analysis, modeling, and visualization
Proficient in Git
Experience using Python to manage Data Engineering workflows in a cloud environment
Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.
Experience with statistics (time series analysis, cluster analysis, multivariate analysis)
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