Sr Analytics Engineer

About the Role

Key Responsibilities

• BI Platform Leadership
• Lead administration and continuous improvement of the Power BI environment
• Define governance, security, modeling, and deployment standards
• Design reusable, scalable datasets that promote metric consistency across teams
• Improve platform performance, reliability, and cost efficiency
• Analytics Modeling and Architecture
• Architect and implement dimensional models in Snowflake using dbt
• Build durable analytics layers aligned to core revenue and operational domains
• Ensure strong alignment between warehouse structures and reporting logic
• Embed testing, documentation, and performance optimization into standard engineering practice
• Enterprise Metric Governance
• Define and formalize KPI logic with clear business definitions and ownership
• Maintain consistency of metrics across tools, systems, and reporting surfaces
• Resolve conflicting definitions through structured analysis and stakeholder alignment
• Strengthen transparency and trust in enterprise data assets
• AI-Enabled Analytics
• Treat AI as a core capability in modern analytics, leveraging it to deliver high-quality solutions with greater speed and rigor
• Design data models and governance patterns that enable the organization to safely and effectively leverage AI with trusted data
• Integrate AI into analytics workflows to accelerate modeling, validation, documentation, and insight generation
• Apply disciplined judgment when evaluating AI-generated outputs, ensuring enterprise standards for accuracy and consistency
• Establish practical guardrails for responsible AI usage across both engineering and business consumption
• Cross-Functional Partnership
• Translate complex and ambiguous business questions into scalable data solutions
• Communicate technical tradeoffs clearly to both technical and business stakeholders
• Introduce platform and process improvements and drive them through implementation
• Influence data standards across the Data & Analytics function
• Ability to operate independently in complex, evolving environments
• Clear and structured communication
• Strong analytical reasoning and disciplined problem solving
• Ownership mindset with focus on measurable business outcomes
• Willingness to challenge assumptions constructively
• High standards for data quality, logical rigor, and validation

What We Look For

• Ability to operate independently in complex, evolving environments
• Clear and structured communication
• Strong analytical reasoning and disciplined problem solving
• Ownership mindset with focus on measurable business outcomes
• Willingness to challenge assumptions constructively
• High standards for data quality, logical rigor, and validation
• 6+ years of experience in analytics engineering or data engineering
• Deep experience with Power BI administration and dataset modeling
• Strong hands-on experience with Snowflake and dbt
• Advanced SQL with demonstrated performance tuning expertise
• Experience with Git-based workflows and CI/CD practices
• Proven experience designing and governing business metrics
• Experience in SaaS or subscription-based businesses
• Experience working with global stakeholders
• Python for automation or platform tooling
• Impact
• The standards and models established in this role will directly influence revenue visibility, operational efficiency, and decision making. The quality of this foundation will determine how effectively the organization leverages both trusted data and AI to drive performance.
• Important Notices
• Recorded Interviews. Quickbase uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
• Interview Integrity. AI is part of how we work at Quickbase — we expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged throughout the selection process. Misrepresentation at any stage may result in removal from consideration for this and future roles.
• How We Review Applications We use AI throughout our hiring process to help review, screen, schedule interviews, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.
• 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.

Qualifications

• Preferred:
• Important Notices Recorded Interviews. Quickbase uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Quickbase — we expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged throughout the selection process. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, schedule interviews, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.

Benefits

• Modern Health
• Group Medical Insurance
• Night Shift Allowance
• Hybrid Work Allowance
• Mobile and Internet Allowance
• Meal Benefit
• Office Transportation
• On-Call Weekend Allowance
• Weekend Working Allowance
• Employee Referral Bonus