GTM BI Analyst

Posted 14 Days Ago
Be an Early Applicant
Pune, Mahārāshtra, IND
In-Office
Mid level
Information Technology • Security • Cybersecurity
The Role
Build and maintain go-to-market dashboards, data models, and analyses covering pipeline, bookings, funnel performance, attribution, sales productivity, marketing effectiveness, and customer expansion. Partner with Sales, RevOps, Product, and Marketing to improve CRM data quality, lead routing, scoring, territory planning, and quota analysis. Translate stakeholder questions into actionable insights and explore AI-assisted analytics tools to streamline reporting.
Summary Generated by Built In

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

Skills Required

  • Bachelor’s degree in computer science, statistics, mathematics, or a related field
  • 3+ years of experience in GTM, sales or marketing analytics, RevOps, or business intelligence
  • Experience with SQL and at least one BI tool such as Looker, Tableau, or Power BI
  • Hands-on Salesforce experience, including report building and understanding object relationships
  • Experience working with attribution or funnel data from multiple sources
  • Exposure to cloud data warehouses or lakehouse platforms and modeled data warehouse or data lake development
  • Experience presenting findings to sales leadership and other stakeholders
  • Clear written and verbal communication skills
  • SaaS experience
  • Cybersecurity experience
  • Familiarity with AI- or LLM-powered analytics tools
  • Experience with marketing automation platforms such as Marketo or HubSpot and CPQ or billing systems
  • Proactive, detail-oriented approach to problem-solving

Qualys Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.

  • Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
  • Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
  • Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.

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The Company
HQ: Foster City, CA
2,736 Employees
Year Founded: 1999

What We Do

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. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com

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