Intuit is looking for a Sr. Business Data Analyst to join the CRM Analytics team to maximize proficiency and productivity with their ecosystem marketing, product and business data and become the domain expert in multiple internal and external data sources.
Requirements
- 4+ Years of 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
- Experience in building multidimensional schemas for consolidating data from multiple sources (Redshift, Hive, SparkSQL, Athena)
Responsibilities
- 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
- Partner with teams across all of Intuit (including product development, marketing, data engineering, compliance, risk policy, etc.) to enable decision support and key customer insights
- Build relationships with other functions critical to the team's mission.
- Mentor and coach other analytics team members to drive creative ideas, use of the latest data techniques and elevate outcomes.
- Bachelor's Degree in Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field. Master's Degree preferred.
