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
Come join the QB Live Analytics Team as a Senior Business Data Analyst. Our team works cross functionally to improve and accelerate decision-making across the Expert Segment by surfacing data, insights, and strategic thinking that address our most critical customer and business problems.
This role will partner closely with product managers, marketers, and other analysts across the organization.
Responsibilities
- Developing complex data analysis, methodologies, and predictive data models that result in insights to drive business growth opportunities and decision making
- Lead experimentation, including hypothesis formulation, test development, insight generation/visualization, and action planning
- Interpret and visualize raw data and make it digestible and accessible for business users
- Communicates data-driven insights from complex sources and handles significant volumes of data for complex and unique business problems
- Define business problems and translating statistical Analytics into business intelligence that drives performance
- Applies proven methods and hacking skills in working with divergent data types, data scales, and big data (petabytes), to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources (relational and non-relational NoSQL databases)
- Provides updates on KPIs to business stakeholders, offering the guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research
Qualifications
- 2-3 years of experience working in product, marketing, web, or other related analytics fields.
- Highly proficient in SQL, Tableau, and Excel
- Ability to derive insights, tell stories with data, educate effectively, instill confidence in recommendations, and motivate others to act on them
- Experience with programming languages including R or Python
- Ability to pull and manipulate data including building ETL/data pipelines to support analytics use cases with advanced SQL and data warehousing knowledge
- Statistical knowledge to guide and support A/B testing or other experimentation frameworks, and interpret the results to draw detailed and practical conclusions
- Experience in modeling or business application/evaluation of machine learning
- Excellent problem-solving skills and end to end quantitative thinking
We use the technology for good to help small businesses and consumers.
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