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.

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.

Revenue Operations Data Engineer – Hybrid, Bangalore

Key skills