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Company | Gusto |
Address | New York City Metropolitan Area, United States |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-08-26 |
Posted at | 9 months ago |
About Gusto
- Senior Analyst in Financial Products - several years experience and excellent data story-telling skills with a background in payments, banking, credit card or other consumer financial products preferred.
- Mid or entry level analysts who work closely with products and features within the app, surfacing insights and metrics to help us understand our product and customers.
- Mid-level analyst in Risk and Fraud - we are especially looking for a curious and astute data detective who can dig deeply into incidents and derive lessons that help us continuously improve our ability to identify credit risks and fraudulent actors.
- Work hand-in-hand with other members of our Data Team - Data Science, Business Intelligence, and Data Platform - to drive a data informed mindset across the company through education, role modeling,
- Data Analysis: Collect, clean, and analyze data to extract meaningful insights and identify trends, patterns, and correlations relevant to our business, products and services.
- Performance Tracking: Monitor and evaluate the performance of our products and services, conducting regular data-driven reviews and providing actionable recommendations for improvement.
- Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to effectively communicate key findings and trends to stakeholders.
- Demonstrate a Builder Mindset by being responsive, building and iterating quickly, taking ownership of the data need and opportunities in your area, being curious, and overall producing data products that help the business.
- Excellent project management skills
- Experience working with and analyzing complex datasets including QA, querying, summarizing, visualizing and reporting findings.
- Data Quality Assurance: Ensure data integrity and accuracy by conducting regular data audits, identifying and resolving data quality issues, and implementing data governance best practices.
- Data Modeling: Collaborate with the data engineering team to design and implement data models that facilitate data analysis, reporting, and business intelligence needs.
- Business Insights: Collaborate with cross-functional teams, including product managers and business strategists, to provide data-driven insights and support decision-making processes.
- Excellent communicator - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion
- Strong SQL skills
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