Data Analyst, Operational Intelligence

Quickbase; Bengaluru; Hybrid; INR 1,010,656 - 1,588,173; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Vision coverage

401(k) with company match

Annual incentive plan

Job summary

Quickbase is seeking a Data Analyst, Operational Intelligence to support GTM analytics, focusing on the Pave product, within the centralized Operational Intelligence team. You will build dashboards, data models in Snowflake, and contribute to dbt, collaborating with Data Engineering and Revenue Operations to deliver trusted data for Sales and PLG decision-making.

This hybrid Bangalore role involves enabling self-service analytics, standardizing metrics, and supporting cross-functional reporting

Qualifications

• 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.

Responsibilities

• Develop and maintain reports and dashboards that track core Sales and PLG KPIs, including trial conversion and revenue performance.
• Serve as analytics partner for Sales and Revenue Operations, translating business questions into reliable reporting.
• Build and maintain data models in Snowflake supporting Sales and PLG analytics for the Pave product.
• Contribute to the central governed data layer by submitting dbt pull requests to extend enterprise data models.
• Collaborate with Data Engineering to align on modeling standards and data quality.
• Partner with Revenue Operations to ensure GTM metrics are consistently defined and trusted across reporting.
• Support operating mechanisms including GTM reviews, cadences, and recurring processes with timely data.
• Identify trends in product usage and PLG motion informing Sales strategy and prioritization.
• Enable self-service analytics by building reusable datasets and maintaining documentation.
• Ensure data quality and consistency across Sales and product analytics workflows.
• Support the Applied AI team by delivering trusted datasets and semantic layer foundations.

Skills

SQL

Snowflake

dbt

Power BI

Salesforce

Amplitude

Mixpanel

Pendo

PLG concepts

GTM metrics

Data modeling

Tools

dbt tests

Snowflake SQL

Job description

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.

Location: Bangalore, India (Hybrid)

Team: Operational Intelligence

Company: Quickbase

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

How We Think About AI

At Quickbase, we view AI as a tool to accelerate how work gets done — not replace it. We encourage thoughtful use of AI to improve speed, quality, and decision‑making, while maintaining strong judgment, accountability, and data integrity.

Pay Range

₹1,010,656.15 - ₹1,588,173.95

Compensation & Benefits

At Quickbase, we believe in pay transparency and are committed to equitable pay practices.

Incentive Compensation

This role is eligible to participate in our annual incentive plan. Incentives are earned based on employee performance against defined metrics and company goals.

Benefits

Full‑time roles are eligible for our comprehensive benefits program which includes medical, dental and vision coverage. You may also contribute to our 401(k) plan that includes a company match.

Equal Opportunity Statement

Quickbase is committed to building a diverse and inclusive workplace. We encourage candidates from all backgrounds to apply – even if you don’t meet every qualification listed. We are proud to be an equal opportunity employer.