Data Analyst - Revenue Operations

2 Months ago • All levels • Data Analyst

Job Summary

Job Description

The Data Analyst at DevRev will oversee data systems and reporting frameworks, ensuring data integrity and accuracy. Responsibilities include creating data sets for sales territory planning, building sales forecast models (using historical data and gap analysis), developing account scoring models (using data from various sources like Zoominfo and LinkedIn), and writing BigQuery queries for dashboard creation. The role requires strong statistical skills, proficiency in SQL/BQ and Python, and excellent communication abilities to present complex data insights to non-technical audiences. The ideal candidate will have sales operations experience and a Bachelor's degree in a relevant field.
Must have:
  • Strong statistical foundation
  • SQL/BQ, Python proficiency
  • Sales operations experience
  • Data analysis experience
  • Excellent communication skills
  • Data visualization skills

Job Details

DevRev

DevRev’s AgentOS, purpose-built for SaaS companies, comprises three modern CRM apps for support, product, and growth teams. It connects end users, sellers, support, product people, and developers, reducing 9 business apps and converging 6 teams onto a common platform.

Unlike horizontal CRMs, DevRev takes a blank canvas approach to collaboration, AI, and analytics, enabling SaaS companies to increase product velocity and reduce customer churn. DevRev is used by thousands of companies in search of low latency analytics and customizable LLMs to thrive in this era of GenAI.

Headquartered in Palo Alto, California, DevRev has offices in seven global locations. We have raised $100 million in funding from investors like Khosla Ventures and Mayfield at a $1.1 billion valuation. We are also honored to be named on the Forbes 2024 list of America’s Best Startup Employers. Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS.

Job Description

The Data Analyst is responsible for overseeing our data systems and reporting frameworks, guaranteeing the integrity and precision of data. The ideal candidate will transform raw data into structured information, which will then be analyzed to glean insights that drive strategic decision making in business. This position encompasses a comprehensive analysis lifecycle, covering requirement gathering, activity execution, and design planning. Data analysts are tasked with enhancing analytical and reporting functions, as well as supervising performance and quality assurance processes to pinpoint areas for enhancement.

 

Roles and responsibilities:

 

  1. Create data sets for Sales Territory planning and monitor territory performance and regularly suggest improvements
  2. Build sales forecast models, based on historical conversion rates, gap analysis in google sheets
  3. Build Account scoring model based on ICP industry criteria, current install base data coming in from Zoominfo, HG Insights, Linkedin Sales Navigator, Traction, etc
  4. Build BQ queries to pull data from the data tables for creating dashboards in google sheets

 

Skills & Qualifications:

 

  1. Possess a solid foundation in statistics and practical experience with statistical software and mastery in data analysis languages like SQL/BQ, Python, etc
  2. Have Sales Operations experience 
  3. Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness. 
  4. Capable of critically evaluating data to derive meaningful, actionable insights.
  5. Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.
  6. A bachelor's degree in Computer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.

Culture

The foundation of DevRev is its culture -- our commitment to those who are hungry, humble, honest, and who act with heart. Our vision is to help build the earth’s most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers. 

That is DevRev! 

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