Overview
On Site
Full Time
Skills
Financial technology
QuickBooks
MailChimp
Data quality
Business software
Innovation
PMO
Marketing
Performance management
Preventive maintenance
Project management
ARM
Forms
Software development
Leadership
Strategy
Instrumentation
Startups
HATS
Switches
SQL
Python
Apache Spark
API
Management
Analytics
Data
Mentorship
Job Details
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
In the world of data, there is often a balance between needing to move fast while ensuring data quality, delivery, and business application. To solve this need, a new organization has been formed at Intuit called Data Innovation, which is tasked with driving our organization forward via Innovation with all things Data. We do this by solving internal and external customer problems through data initiatives. As part of the operating model of this new team, three functions have been created to execute these data initiatives: Data PM, Analytics Engineer, and Data PMO.
As an Analytics Engineer within the team you will partner with Data PMs to execute on data initiatives. Tasks would include deep diving into pipeline code and unpacking logic, creating POCs of new pipelines, driving new API integrations, implementing marketing attribution logic, etc. The goal of this team is to push the envelope in the strategic and direct application of data to drive real business outcomes. If you are the type of person that has a bias for action, inquisitive mindset, a pragmatic approach to engineering, and proactive approach to solving fascinating problems, then this role might be a fit.
Responsibilities
Qualifications
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
In the world of data, there is often a balance between needing to move fast while ensuring data quality, delivery, and business application. To solve this need, a new organization has been formed at Intuit called Data Innovation, which is tasked with driving our organization forward via Innovation with all things Data. We do this by solving internal and external customer problems through data initiatives. As part of the operating model of this new team, three functions have been created to execute these data initiatives: Data PM, Analytics Engineer, and Data PMO.
As an Analytics Engineer within the team you will partner with Data PMs to execute on data initiatives. Tasks would include deep diving into pipeline code and unpacking logic, creating POCs of new pipelines, driving new API integrations, implementing marketing attribution logic, etc. The goal of this team is to push the envelope in the strategic and direct application of data to drive real business outcomes. If you are the type of person that has a bias for action, inquisitive mindset, a pragmatic approach to engineering, and proactive approach to solving fascinating problems, then this role might be a fit.
Responsibilities
- Partners with a Data PM on an end-to-end pillar, acting as the rapid execution arm of the team
- Proactively dives deep into code, evaluates legacy logic, and forms a plan to ensure the end data represents the business problem being solved
- Develops and rapidly iterates on new applications of data, leveraging libraries, code repositories, and other resources to move quickly towards outcomes
- Knowledge of multiple coding languages; ability to learn new languages as needed
Qualifications
- 8+ years of experience working in complex data domains leading data strategy, the application of data to solve business and customer problems, instrumentation, and data products
- Startup mindset, ability to wear multiple hats and switch context rapidly
- Ability to work independently and manage work to meet aggressive timelines
- Highly advanced SQL skills, Python Master, Spark proficiency and familiarity with API integration and management
- Proficient in data and analytics tools and patterns with an understanding of modern data stack trends
- Ability to operate in an ambiguous and rapidly changing environment
- Comfortable with solutions that may have imperfections, but still capture large amounts of value
- Passionate about mentoring others and the advancement of the team
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.