Business Analyst

Rubrik Rubrik · Enterprise · Bangalore, India · Support

This Business Analyst role focuses on business intelligence, data analysis, and supporting customer-facing teams by analyzing complex business problems, identifying trends, and providing actionable insights. It requires strong knowledge of SQL, CRM systems, and BI tools like Tableau and Power BI. The role supports growth in subscription renewals by providing forecast clarity, scoring retention likelihood, and developing action plans. While the company mentions AI transformation and Rubrik Agent Cloud, this specific role is not directly involved in building or shipping AI/ML models or systems.

What you'd actually do

  1. Perform weekly, monthly and quarterly opportunity pipeline analysis, data validation and identify gaps and actions required
  2. Identify process automation and improvement opportunities and work with cross-functional teams to drive these initiatives
  3. Communicate regularly on business/team performance, making recommendations based on analysis of key performance areas
  4. Act on behalf of the leadership (e.g. drive global churn forecasting, identify direct and channel renewal improvements, forecasting mechanics evolution to incorporate customer health insights)
  5. Support the development and presentation of the business outcomes to stakeholders with a view to assisting them to drive performance in their areas (e.g. churn/upsell attribution etc)

Skills

Required

  • SQL
  • CRM (Salesforce)
  • Clari
  • Excel
  • Tableau
  • Power BI
  • Data Analytics
  • Data Modelling
  • Business Acumen
  • Collaboration
  • Communication
  • Time Management
  • Problem-solving

Nice to have

  • MBA
  • Knowledge of Rubrik products and services

What the JD emphasized

  • 6+ years of experience
  • strong knowledge of SQL, CRM (Salesforce), Clari, Excel, Business Intelligence systems such as Tableau and Power BI
  • Proven track record in juggling through multiple projects and deadlines yet driving them to completion
  • Experience with Data Analytics and Modelling