Senior Data Analyst, Operational Intelligence

Senior Data Analyst, Operational Intelligence Location: Remote or Hybrid Team: Operational Intelligence Company: Quickbase Overview 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. What You’ll Do 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 What You Bring 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 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 Why This Role Matters This role is central to making trusted, high‑quality data accessible to the people who need it most. As a senior analytics partner embedded in the Operational Intelligence team, you will directly enable Product and Customer Success teams to make faster, more informed decisions by delivering reliable reporting, well‑governed data models, and self‑service capabilities that reduce their dependence on ad hoc analysis requests. What Success Looks Like Product and Customer Success teams can independently answer key business questions using trusted, well‑documented data Core KPIs are consistently delivered through reliable, well‑governed dashboards that senior leadership trusts Key metrics are clearly defined, documented, and consistent across reporting Operating mechanisms including business reviews and executive reporting cycles are supported with accurate, timely data Self‑service analytics adoption grows meaningfully across the organization Contributions to the central dbt model are well‑documented, tested, and aligned with enterprise standards At Quickbase, we believe in pay transparency and are committed to equitable pay practices. The compensation range for this role is $84,000-$132,000 per year. The exact compensation offered will be based on experience, skills, and alignment with internal equity. Beyond salary, employees receive bonus/commission eligibility and access to a full benefits package including health insurance, 401k, paid time off, etc. #J-18808-Ljbffr