Analytics Engineer

$179,500 - $243,000/Yr

Intuit - Mountain View, CA

Full-time - Senior

Mountain View, CA

10,001+ employees

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

We are seeking a highly skilled and experienced Principal Data Architect and Analytics Engineer to join our Service Analytics team at Intuit. This role is pivotal as Intuit embarks on an exciting transformation to become an "AI-driven Expert Platform," which aims to partner with experts to address the most pressing customer challenges. The Service Analytics team provides foundational insights that enable and support a two-sided marketplace connecting our customers to our experts. The ideal candidate will possess a unique blend of technical expertise in data architecture, engineering, and analytics. This includes a strong focus on designing scalable Service/Operations data models, integrating AI models into data architectures to create and transform data, optimizing data pipelines, and providing actionable insights through advanced analytics and data visualization techniques. The role requires a proactive approach to continuously monitor data and system performance, proposing and implementing improvements as necessary to enhance the overall efficiency of the analytics team. In this position, you will be responsible for owning the Expert Network and Modern Operations data architecture. You will partner with data engineering and broader analytics teams to build durable and accurate data marts, as well as build automated and scalable data pipelines that refresh frequently and within short time frames. Your expertise will also be crucial in advising business leaders and product development teams on how to best harness available data to support critical business needs and goals. Additionally, you will work closely with business stakeholders and data analysts to understand data requirements and deliver comprehensive analytics solutions, while also mentoring junior technical data analysts to build scalable data products for stakeholders.

Responsibilities

• Owner of Expert Network / Modern Operations data architecture
• Partner with data engineering and broader analytics teams to build durable and accurate data marts
• Build automated and scalable data pipelines that refresh frequently and in a short time frame
• Continuously monitor data and system performance, proposing and implementing improvements as needed
• Increase the velocity of the broader analytics team by reducing analyst time spent on data discovery, ETL, and data modeling
• Provide guidance and thought partnership to business leaders and product development teams on how to best harness available data in support of critical business needs and goals
• Work with data engineering and product development teams to identify and instrument new data sources
• Ensure clean data at source and minimize the use of business logic in data marts
• Advise analysts on how to efficiently leverage big data (clickstream, transcripts) to be consumed by ML and Gen AI models
• Provide requirements to data engineering to automate these pipelines
• Adapt ML models and Gen AI outputs into consumable data models for analysts to leverage
• Work closely with business stakeholders and business data analysts to understand data requirements and deliver comprehensive analytics solutions
• Teach business data analysts data modeling and visualization tools best practices
• Mentor junior technical data analysts in order to build scalable data products for stakeholders
• Implement best practices for data governance, including data quality, metadata management, and data privacy

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field or related work experience
• Minimum of 10 years of experience in a data architect or analytics engineer role, with a proven track record of delivering complex data projects
• Strong knowledge of data modeling, data warehousing, and data integration techniques
• Expertise in SQL and experience with programming languages (e.g., Python, R)
• Familiarity with BI tools (e.g., Qlik Sense, Tableau) and data visualization techniques
• Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions
• Strong communication, collaboration, and project management skills, capable of working effectively with teams across the organization

Benefits

• Competitive compensation package
• Cash bonus eligibility
• Equity rewards
• Comprehensive benefits package