Overview

We are looking for a hands-on Senior Technical Data Analyst who is a creative problem solver with a passion to support and enhance an advanced data toolkit for a business data analytics team. You will work with data engineers, business data analysts, product managers, architects, and designers to mature the technical capabilities of Intuit’s Identity Analytics platform.

As a senior member of the analytics team, you will have a strong track record of combining advanced analytics database design approaches with exceptional knowledge of functional areas to unlock potential for the business data analysts and product managers you support. You will be able to take ownership of complex workflows to translate data from clickstream and transactional data sources to maintain a complete data analytics platform.

This is an exciting time to join the Identity Platform at Intuit as we are building many new cutting-edge capabilities, including an Account Manager as a destination, password-less authentication, phone-based account creation, modern and sophisticated fraud prevention, an Identity graph, and many more. Data is central to Intuit’s decision-making process, and technical analysts are a critical component to unlock data-driven decision making as we look to transform and scale the Identity platform for the future.

What you'll bring

TECHNICAL QUALIFICATIONS

• 5+ years of experience working on ETL/data pipelines to support analytics use cases
• Advanced SQL and data warehousing knowledge
• Expertise working with big datasets and optimizing MPP Databases
• Knowledge of Hadoop query tools (Hive, Spark)
• Familiarity with AWS (Redshift, Athena, and AWS core concepts)
• Python/Pandas/ML Experience (nice-to-have)
• Tableau/Data Visualization (nice-to-have)
• Clickstream data experience (nice-to-have)

OTHER QUALIFICATIONS

• Excellent problem-solving skills and end-to-end quantitative thinking
• Outstanding communications skills with the ability to influence decision makers and build consensus with teams
• Proactive and inquisitive learner who seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances
• Strong organizational skills, time management, accountability, and the ability to manage multiple projects simultaneously to meet objectives and key deadlines
• Bachelor's Degree in Computer Science, Software Engineering, Statistics, Mathematics, Data Analytics or Related Field required; Master's Degree preferred.

How you will lead

• Develop and maintain ETLs from multiple distinct data sources using SQL and a custom data pipeline
• Build data load strategies based on functional requirements using technical best practices
• Communicate with business data analysts across Intuit to answer technical and functional questions and enable them to access and interpret the data we provide
• Interview data consumers to understand requirements, develop functional specifications, and complete delivery of new data pipelines
• Seek opportunities to improve the data pipeline and platform, and work with Data Engineers to prioritize, develop, and test these improvements
• Pursue data quality, troubleshoot data validation, and see issues to resolution