Intuit · 1 week ago
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
Intuit is looking for a hands-on Senior Staff Technical Data Analyst to enhance their advanced data toolkit for the analytics community. The role involves architecting scalable data systems, collaborating across functions, and advocating for the analyst community to ensure actionable insights and recommendations are delivered to business partners.
AccountingFinancial ServicesFinTechPaaSSoftware
Responsibilities
Architect Scalable Data Systems:Design, develop, and maintain data architectures and models that are scalable, high-performing, and aligned with business, modeling, and analytical requirements. Apply best-in-class data modeling principles to ensure consistency, integrity, and accessibility across domains
Collaborate Across Functions: Partner closely with data scientists, product managers, and business stakeholders to deeply understand business needs and translate them into robust data models, systems, and strategies that support decision-making, complex modeling, and analytics
Champion Data Quality and Governance: Define standards and frameworks for data modeling, quality, and governance. Ensure that data systems are reliable, performant, and built to scale with the business
Mentor and Guide Teams: Lead and mentor a team of contractors and data professionals, providing architectural guidance, code reviews, and clear direction to ensure high-quality data product delivery. Set technical standards and coach the team on best practices for building, testing, and deploying data solutions
Drive Continuous Improvement:Identify opportunities to improve data pipelines, platforms, and processes. Collaborate with data engineers and data scientists to prioritize, develop, and test enhancements that improve reliability, performance, and usability
Bridge Technical and Business Perspectives:Communicate effectively with technical and non-technical audiences. Interview data consumers to understand requirements, develop functional specifications, and ensure delivery of strategic data initiatives that meet business needs
Advocate for the Analyst Community: Represent analysts’ data needs across segments and product teams. Develop data literacy plans and training programs for both analyst and non-analyst audiences to increase adoption and understanding of data assets
Strategic and Leadership Impact:
Serve as a subject matter expert across the analytics organization and broader Intuit ecosystem
Create and execute data roadmaps that align with business strategy
Lead high-complexity projects with end-to-end ownership, using agile methodologies, translating complex business requirements into milestones and deliverables
Qualification
Required
8+ years of experience in analytics engineering or data architecture, designing and implementing data models and pipelines that directly support business decision-making and data-driven strategies
Bachelor's Degree in Computer Science, Information Systems, Statistics, Data Analytics, or a related field required; Master's Degree preferred
Deep expertise in data modeling and semantic layer design, with the ability to translate complex business logic into scalable, high-performance data structures
Advanced proficiency in SQL and Python for data transformation, quality assurance, and automation
Strong understanding of data warehousing concepts and experience with modern cloud data platforms such as Databricks - with the ability to optimize for usability, scalability, and performance
Experienced in AWS data services
Proficient in data transformation and orchestration tools such as dbt, Airflow, or Fivetran, with a strong grasp of CI/CD and version control best practices
Familiarity with data visualization and analytics platforms (e.g., Tableau, Qlik Sense, Looker) and a clear understanding of how data models enable effective self-service analytics. Experience integrating and modeling clickstream and behavioral data
Knowledge of data governance, lineage, and metadata management, ensuring models are trusted, well-documented, and reusable across teams
Exceptional ability to think from the business perspective - deeply understands how data informs key metrics, KPIs, and strategic decisions, and designs models that make those insights accessible and actionable
Adept at collaborating with data scientists, product managers, and business stakeholders to translate business questions into technical designs and high-impact analytical datasets
Recognized for building bridges between technical and business teams - explaining complex data concepts in simple, outcome-oriented language
Proven experience mentoring and leading data and analytics engineers, ensuring quality execution and alignment with architectural standards and business objectives
Proactive and strategic mindset - anticipates business needs, identifies opportunities for improvement, and advocates for scalable, future-proof data solutions
Excellent communication, prioritization, and organizational skills, with the ability to manage multiple complex initiatives simultaneously
Preferred
Master's Degree in Computer Science, Information Systems, Statistics, Data Analytics, or a related field
Benefits
Cash bonus
Equity rewards
Benefits
Company
Intuit
Intuit provides financial software solutions to empower individuals and businesses.
H1B Sponsorship
Intuit has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (693)
2024 (550)
2023 (586)
2022 (842)
2021 (773)
2020 (514)
Funding
Current Stage
Public CompanyTotal Funding
$8.52BKey Investors
JP Morgan Chase
2025-01-31Post Ipo Debt· $4.5B
2023-09-12Post Ipo Debt· $4B
2011-01-19Post Ipo Equity· $6.7M
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