Smartsheet - Sr. Revenue Operations Data Engineer (Hybrid in Bangalore)
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Requirements
• Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics) • 5+ years of experience in an analytics/engineering role with increasing responsibility • Experience in Cloud and SaaS go-to-market (GTM) • Expertise in SQL and preparing data for analysis, modeling, and visualization • 3+ years of experience using Python for data analysis / automation • 3+ years of experience with dbt core • 3+ years of experience with Git (Gitlab, Github etc.) and CI/CD concepts like branching, merging, Code Reviews etc. • Demonstrated experience with a modern engineering tech stack (Airflow, AWS, Docker etc.) • Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc. • Experience building ML models • Proficiency with Tableau preferred • Experience with statistics (time series analysis, cluster analysis, multivariate analysis) • Experience publishing and presenting data and findings to executives and non-data users • Get to Know Us: • 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.
Responsibilities
• Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to facilitate data across the organization • Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities • Mine large datasets to ensure data accuracy and completeness for reporting purposes • Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports • Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics • Automate report generation and distribution to improve efficiency • Provide technical expertise and guidance to junior analysts on data extraction, transformation, and loading (ETL) processes and reporting best practices • Ensure data governance and data integrity across all reporting tools and platforms • Proactively identify and propose improvements to existing reporting processes and systems • Be a mentor and leader to the more junior analysts on the team • Perform other duties as assigned
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