Maximize proficiency and productivity with Intuit's ecosystem marketing, product and business data
Requirements
- Advanced SQL skills to get the data you need from a data warehouse (e.g., Redshift, Hive, SparkSQL, Athena) and perform data segmentation and aggregation from scratch
- Experience in modern advanced analytical tools and programming languages such as Python
- Data query and data processing tools/systems (e.g., relational, NoSQL, stream processing)
- Distributed computing systems and related technologies (e.g., Spark, Hive)
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code
- Experience in developing data models, schema design, and working knowledge of cloud computing/services particularly in AWS
- Good working experience with data analytics and visualization tools (Tableau, QlikSense)
Responsibilities
- Partner with teams across all of Intuit to enable decision support and key customer insights
- Develop compelling visualizations that crystallize business opportunities for business stakeholders and leaders to make timely decisions
- Design and run data driven tests and experiments that identify business opportunities and compare performance against company goals
- Collaborate with stakeholders and analysts to ensure analytical solutions are scalable, repeatable, effective, sustainable, and meet expectations of various stakeholders
- Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist
- Deliver key metrics, dashboards and ad-hoc analyses with interpretation, contributing to the development of hypotheses and actions for run the business metrics
- Designs and implements technical and business documentation
Other
- Bachelor's Degree in Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field
- Master's Degree preferred
- Mentor and coach other analytics team members to drive creative ideas, use of the latest data techniques and elevate outcomes
- Build relationships with other functions critical to the team's mission
- Collaborate with different functions (Data Scientists, Data Engineers, Technical Data Analysts and Product Developers) of the Intuit Small business group organization
