Data Analyst, Operational Intelligence
Location: Bangalore, India (Hybrid)
Team: Operational Intelligence
Company: Quickbase
Overview
Quickbase is seeking a Data Analyst, Operational Intelligence to support our Sales and Product-Led Growth analytics needs, with a particular focus on our Pave product. This role is part of our centralized Operational Intelligence team, working in close partnership with Data Engineering and Revenue Operations counterparts to ensure GTM teams have reliable, trusted data at their fingertips.
You will serve as an analytics partner for our Sales organization while also developing visibility into PLG signals, surfacing how product usage translates into trial conversion, expansion, and growth opportunities. The ideal candidate is a strong SQL practitioner who brings genuine curiosity about the business, thrives in a collaborative cross-functional environment, and has experience supporting operational teams and recurring business cadences in a globally distributed setting.
What You'll Do
- Develop and maintain reports and dashboards that track core Sales and PLG KPIs, including trial conversion, product adoption, feature activation, and revenue performance
- Serve as the Operational Intelligence team's analytics partner for Sales and Revenue Operations, translating business questions into reliable, actionable reporting
- Build and maintain data models in Snowflake that support Sales and PLG analytics use cases for the Pave product
- Contribute to our central governed data layer by authoring and submitting dbt pull requests that extend our enterprise data models for GTM use cases
- Collaborate closely with Data Engineering to align on modeling standards, data quality practices, and pipeline dependencies
- Partner with Revenue Operations to ensure GTM metrics including free trial signups, time-to-activate, product qualified leads, trial conversion, and expansion signals are consistently defined and trusted across reporting
- Support operating mechanisms including GTM business reviews, reporting cadences, and recurring operational processes where data accuracy and timeliness are critical
- Identify trends in product usage and PLG motion that inform Sales strategy and prioritization
- Enable self-service analytics by building reusable datasets and maintaining clear, accessible documentation
- Ensure data quality and consistency across Sales and product analytics workflows
- Support the Applied AI team by delivering the trusted datasets and semantic layer foundations that power reliable AI automation workflows and outputs
What You Bring
- 3 to 7 years of experience in data analytics, business intelligence, or GTM/sales analytics roles
- Strong SQL skills with solid experience in data modeling and working with cloud data platforms, ideally Snowflake
- Demonstrated experience supporting Sales, Revenue Operations, or GTM teams in a SaaS environment, including supporting business reviews and recurring reporting cadences
- Strong understanding of how operational teams consume and act on data, not just how to model it
- Solid understanding of PLG concepts, product usage analytics, and GTM metrics
- Hands-on experience contributing to dbt projects, including writing models, tests, and documentation
- Ability to define and standardize business metrics across stakeholder groups
- Strong communication skills, able to present data clearly to both technical and non-technical audiences
- Comfortable working cross-functionally in a globally distributed, async-friendly environment with some US business hours overlap
Nice to Have
- Experience with Power BI or comparable BI and data visualization tools
- Experience with CRM data (Salesforce) and revenue analytics platforms
- Familiarity with PLG tools or product analytics platforms such as Amplitude, Mixpanel, or Pendo
- Exposure to data governance and data quality frameworks
- Experience working in a product-led or hybrid sales-led/PLG SaaS organization
Why This Role Matters
Pave represents an exciting new growth motion for Quickbase, and this role is critical to making that motion data-driven from day one. As part of a centralized Operational Intelligence team, you will be positioned at the heart of how data flows from engineering to business decision-making, connecting product usage signals with sales performance and revenue outcomes to help our GTM teams act faster and more confidently.
What Success Looks Like
- Sales and Revenue Operations teams have reliable, consistent visibility into trial conversion, PLG signals, and expansion opportunities
- PLG signals from Pave are systematically tracked and surfaced to inform Sales prioritization
- Key GTM metrics are clearly defined, documented, and trusted across the organization
- Operating mechanisms including GTM business reviews and reporting cadences are consistently supported with accurate, timely data
- Self-service reporting adoption grows within Sales and Revenue Operations teams
- Contributions to the central dbt model are well-tested, documented, and aligned with enterprise standards
- Strong working relationships are established with Data Engineering and Revenue Operations counterparts
Budget:
Pay Low
883,152.00 INR - Indian Rupee
Pay Mid
1,261,646.00 INR - Indian Rupee
Pay High
1,387,811.00 INR - Indian Rupee
