Senior Data Analyst, Operational Intelligence

About the role

The Senior Data Analyst, Operational Intelligence role at Quickbase is focused on strengthening self-service analytics capabilities across the organization. This position requires a strong blend of data analysis, business intelligence, and operational partnership skills.

Responsibilities

• Develop and maintain dashboards and reports that track core KPIs across product adoption, customer health, retention, and operational performance
• Serve as the primary senior analytics partner for Product and Customer Success teams, translating business questions into reliable, actionable insights
• Design and maintain data models in Snowflake that support self-service analytics and recurring reporting needs
• Contribute to the governed data layer by authoring dbt models, tests, and documentation via pull requests
• Define and document key business metrics to ensure consistency and trust across reporting
• Enable self-service analytics by building reusable datasets, standardized metric definitions, and clear documentation that allow stakeholders to answer their own questions
• Support operating mechanisms including business reviews, executive reporting cycles, and recurring operational processes where data accuracy and timeliness are critical
• Ensure data quality, consistency, and performance across analytics workflows
• Collaborate with Data Engineering on modeling standards and architectural best practices
• Contribute to a governed semantic layer in Snowflake that serves as the trusted data foundation for self-service analytics and AI-driven tools
• Partner with the Applied AI team to align on data requirements for automation workflows, ensuring Workato and Snowflake Cortex outputs are grounded in consistent, well-documented metric definitions

Requirements

• 7+ years of experience in data analytics, business intelligence, or operations analytics roles
• Advanced SQL skills with a strong understanding of data modeling concepts
• Solid hands-on experience with dbt, including building models, tests, and documentation
• Experience with Snowflake or a comparable cloud data platform
• Demonstrated experience supporting Product, Customer Success, or similar operational teams at a senior level
• Strong understanding of how operational teams consume and act on data, including experience supporting business reviews and recurring reporting cadences
• Strong experience with Power BI or a comparable BI and data visualization tool, including dashboard development and semantic modeling
• Comfortable working independently on complex, ambiguous problems and driving them to a clear, trusted solution
• Ability to translate complex data into clear, actionable insights for both technical and non-technical audiences
• Strong communication and collaboration skills, including the ability to engage credibly with senior stakeholders

Qualifications

• Nice to have: Experience with Snowflake Cortex, semantic modeling tools, or AI-driven analytics platforms
• Familiarity with additional BI tools such as Looker, Tableau, or Sigma
• Exposure to data governance and data quality frameworks
• Experience working in a SaaS or product-led organization
• Comfort informally mentoring or sharing knowledge with peers on the team

Skills

• SQL
• Data modeling
• dbt
• Snowflake
• Power BI
• Business intelligence
• Data visualization
• Data governance
• Data quality

Benefits

• Compensation Range: $84,560.35 - $132,880.55
• Incentive Compensation: Eligible for annual incentive plan based on performance
• Benefits: Comprehensive benefits program including medical, dental, and vision coverage, 401(k) plan with company match

Pay

$84,560.35 - $132,880.55

Schedule

Remote or Hybrid

Company

Quickbase