Data Analyst, Operational Intelligence

QuickBase Inc.; Bengaluru; On-site; INR 1,010,656 - 1,588,174; Full time

Benefits offered by this job

Medical, dental and vision coverage

401(k) with company match

Annual incentive plan

Job summary

Quickbase is seeking a Data Analyst, Operational Intelligence to support Sales and Product-Led Growth analytics with a focus on the Pave product. You will partner with GTM teams, translate business questions into reliable reporting, and contribute to enterprise data models in Snowflake and dbt.

You will collaborate with Data Engineering and Revenue Operations, ensure data quality, and enable self-service analytics for GTM stakeholders across a globally distributed organization.

Qualifications

• 3–7 years of experience in data analytics, BI, or GTM/sales analytics.

Responsibilities

• Develop and maintain dashboards tracking core Sales and PLG KPIs.

Skills

SQL

Data modeling

Snowflake

dbt

Reporting

Cross-functional collaboration

Communication

Tools

Power BI

Salesforce

Amplitude

Mixpanel

Pendo

dbt

Job description

## Data Analyst, Operational IntelligenceApplylocations: Bangaloretime type: Full timeposted on: Posted Todayjob requisition id: R26\_00066## Data Analyst, Operational IntelligenceLocation: Bangalore, India (Hybrid)Team: Operational IntelligenceCompany: Quickbase### OverviewQuickbase 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 MattersPave 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.