GTM BI Analyst

QLYS_IN Qualys Security TechServices Private Ltd.; Pune District; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Qualys, Inc. in Pune, India is seeking a GTM Business Intelligence Analyst to transform pipeline, product-usage, and marketing data into actionable insights for sales and marketing teams.

You will own data modeling beyond reporting, building dashboards across revenue streams and enabling leadership with data-driven decisions. The role requires 3+ years in GTM/marketing analytics, proficiency in SQL and at least one BI tool, and hands-on Salesforce experience.

Qualifications

• Bachelor’s degree in computer science, statistics, mathematics, or a related field.
• 3+ years in GTM, sales, or marketing analytics; SaaS experience preferred, cybersecurity a plus.
• Comfortable with SQL and at least one BI tool (Looker, Tableau, or Power BI).
• Hands-on experience with Salesforce, including building reports and understanding how objects relate.
• Experience working with attribution or funnel data from multiple sources.
• Exposure to cloud data warehouses or lakehouse platforms (e.g., Snowflake, Databricks, BigQuery, Redshift) and experience supporting the build of a modeled data warehouse/data lake.
• Familiarity with AI/LLM-powered analytics tools (Copilot/Claude-style BI assistants, prompt-based querying) a plus.
• Comfortable presenting findings to sales leadership and other stakeholders.
• Experience with marketing automation platforms (Marketo, HubSpot) and CPQ/billing systems a plus.
• A proactive, detail-oriented approach to problem-solving.

Responsibilities

• Build and maintain pipeline, bookings, and funnel dashboards across marketing-sourced, sales-sourced, and partner-sourced revenue.
• Help maintain the GTM data model connecting CRM (Salesforce), marketing automation, product usage, and billing data.
• Support sales leadership with territory planning, quota analysis, and win/loss reporting.
• Prepare reporting on pipeline health and sales productivity for leadership review.
• Help flag pipeline risk and conversion bottlenecks so they can be addressed early.
• Support KPI frameworks for team performance, campaign effectiveness, and customer expansion.
• Work with RevOps to improve CRM data hygiene, lead routing logic, and scoring models.
• Turn open-ended questions from stakeholders into clear, structured analysis.
• Explore and apply AI-assisted analytics tools to speed up ad hoc analysis and reduce manual reporting work.

Skills

GTM analytics

SQL

Presentation to leadership

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Tools

Salesforce

Looker

Tableau

Power BI

Marketo

HubSpot

Job description

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! GTM Business Intelligence Analyst

About the Role

We're looking for a GTM Business Intelligence Analyst to help turn pipeline, product-usage, and marketing data into insights our sales and marketing teams can use. You'll work closely with Sales, RevOps, Product, and Marketing, building dashboards and analyses that help us understand where revenue is coming from and where there's room to improve. You'll have real ownership over how the data is modeled, not just how it's reported.

Why This Role Matters

GTM analytics plays an important role in how our cybersecurity business understands and grows revenue. This role has visibility into how we allocate marketing spend, plan sales targets, and report on performance, and offers a chance to work closely with leadership.

What You’ll Do

• Build and maintain pipeline, bookings, and funnel dashboards across marketing-sourced, sales-sourced, and partner-sourced revenue
• Help maintain the GTM data model connecting CRM (Salesforce), marketing automation, product usage, and billing data
• Support sales leadership with territory planning, quota analysis, and win/loss reporting
• Prepare reporting on pipeline health and sales productivity for leadership review
• Help flag pipeline risk and conversion bottlenecks so they can be addressed early
• Support KPI frameworks for team performance, campaign effectiveness, and customer expansion
• Work with RevOps to improve CRM data hygiene, lead routing logic, and scoring models
• Turn open-ended questions from stakeholders into clear, structured analysis
• Explore and apply AI-assisted analytics tools (e.g., natural-language query interfaces, LLM-based reporting copilots) to speed up ad hoc analysis and reduce manual reporting work

What We’re Looking For

• Bachelor’s degree in computer science, Statistics, Mathematics, or a related field
• 3+ years in GTM, sales, or marketing analytics, RevOps, or business intelligence; SaaS experience preferred, cybersecurity a plus
• Comfortable with SQL and at least one BI tool (Looker, Tableau, or Power BI)
• Hands‑on experience with Salesforce, including building reports and understanding how objects relate
• Experience working with attribution or funnel data from multiple sources
• Exposure to cloud data warehouses or lakehouse platforms (e.g., Snowflake, Databricks, BigQuery, Redshift) and experience supporting the build of a modeled date warehouse/ data lake
• Familiarity with AI/LLM-powered analytics tools (e.g., Copilot/Claude‑style BI assistants, prompt‑based querying, or using AI to accelerate report‑building) a plus
• Comfortable presenting findings to sales leadership and other stakeholders
• Clear written and verbal communication skills
• Experience with marketing automation platforms (Marketo, HubSpot) and CPQ/billing systems a plus
• A proactive, detail‑oriented approach to problem‑solving

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Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud‑based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings.