Senior Business Data Analyst
Intuit
Senior Business Data Analyst
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
We are looking for a Sr. Business Data Analyst to join the CRM Analytics team! Your effort will maximize proficiency and productivity with our ecosystem marketing, product and business data and become the domain expert in multiple internal and external data sources. As a Sr. Business Data Analyst you will collaborate with different functions (Data Scientists, Data Engineers, Technical Data Analysts and Product Developers) of the Intuit Small business group organization.
Responsibilities
- 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
- 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.
- 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.
- 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
Qualifications
- 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.
- Bachelor's Degree in Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field; equivalent experience will be considered. Master's Degree preferred.
- 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)
- Good working experience with data analytics and visualization tools (Tableau, QlikSense).
- Knowledge of Computer science fundamentals: data structures, algorithms, and performance complexity
- Familiarity with Data Science workflow and life cycle