Sr. Revenue Operations Analyst - Foundations

Smart

20 - 25 years

7 - 11 Lacs

bengaluru

Posted:1 hour ago| Platform:

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Skills Required

data analysis publishing analytical data quality data integrity business intelligence analytics reporting tools sql data extraction

Work Mode

Work from Office

Job Type

Full Time

Job Description

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
Be a mentor and leader to the more junior analysts on the team
Perform other duties as assigned

You Have:

Bachelors 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 with statistics (time series analysis, cluster analysis, multivariate analysis)
Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.

Nice To Have:

Experience using Python to manage Data Engineering workflows in a cloud environment

Experience building ML models
AWS experience preferred

Proficiency with Tableau preferred
Experience publishing and presenting data and findings to executives and non-data users

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