Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals.

You Will:

• Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel.    
• 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.    
• Guide commission and territory planning processes with analytical support, providing the necessary reports and data.    
• 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.

Required Skills:

• 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)
• Channel / Partner experience nice to have
• 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 building ML models is nice to have
• AWS experience preferred
• Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.
• 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