Senior Data Analyst, Operational Intelligence

Quickbase•Boston, MA

4d•Hybrid

About The Position

Quickbase is seeking a Senior Data Analyst, Operational Intelligence to strengthen our self-service analytics capabilities across the organization. This role sits at the intersection of data analysis, business intelligence, and operational partnership, with a strong focus on surfacing trusted, high-quality insights that empower Product and Customer Success teams to make faster, more confident decisions. You will work closely with our Product and Customer Success organizations as a senior analytics partner, developing a deep understanding of how those teams operate and translating complex business questions into clear, reliable reporting and analysis. The ideal candidate brings strong SQL and data modeling skills, experience supporting operational teams and recurring business cadences, and the ability to communicate data clearly to both technical and non-technical stakeholders.

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

Nice To Haves

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

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