Intuit's Small Business & Mid-Market Index (SMB Index) team is looking to elevate Intuit's role as a trusted source of economic insights for small and mid-sized businesses by providing timely, data-driven indicators of small business health.
Requirements
- Strong programming skills in Python and SQL, with experience using R or STATA for statistical analysis.
- Proven experience building data pipelines, performing ETL, and leveraging cloud-based platforms such as AWS, Databricks
- Expertise in time-series analysis, statistical modeling, and machine learning.
- Familiarity with GenAI and LLM-based tools to automate data workflows and generate analytical insights.
- Experience designing, administering, and analyzing survey data, including panel datasets.
- ARIMA-based seasonal adjustments, temporal disaggregation (e.g., Chow-Lin), Flexible Least Squares, and imputation methods (e.g., Random Forests, XGBoost).
Responsibilities
- Build and manage the Mid-Market Index end-to-end
- Run and improve monthly production pipelines
- Develop and maintain advanced models
- Implement a systematic insight workflow
- Produce actionable insights from Index and survey data
- Drive methodological innovation and peer review
- Uphold high standards for data integrity, documentation, and reproducibility
Other
- 3+ years of experience in data science, economics, or applied analytics, preferably in fintech, economic research, or SaaS.
- Demonstrated ability to communicate insights clearly, both visually and verbally, to technical and executive audiences.
- Strong project management skills and the ability to operate in cross-functional environments.
- Bachelor’s degree in a quantitative field such as Economics, Statistics, Data Science, or Computer Science; Master’s preferred.
