Role Name
Product Analyst Intern
Role Description
You will take ownership of the quality, accuracy, and relevance of financial data displayed on Frontpage’s InvestLab platform. This role sits at the intersection of data, finance, and product, giving you a unique opportunity to impact the investing experience for thousands of users.
Why This Role Is Needed
Frontpage’s mission to build the Investing Co-pilot relies on delivering accurate, actionable financial data. To achieve this, we must:
- Ensure data accuracy and reliability across all metrics shown to investors.
- Define and optimize the right data points that help users make informed decisions.
- Maintain robust data pipelines from vendors to product, minimizing errors and ensuring timely updates.
You will lead all three.
Roles & Responsibilities
| Focus |
Key Actions |
Impact Metric |
| Metric Implementation |
- Translate product-defined metrics into actionable data requirements. |
|
- Identify relevant columns or data fields in vendor/database sources.
- Define calculation logic for each metric. | - Number of metrics accurately implemented. |
| Data Reliability | - Verify data accuracy by checking values displayed in the product against source data.
- Investigate issues in data mismatches and propose fixes.
- Ensure consistency across updates. | - Accuracy rate of displayed data.
- Fewer user-reported data issues. |
| Pipeline Health | - Monitor end-to-end data flow from vendors to product dashboards.
- Highlight delays, missing data, or inconsistencies.
- Coordinate with relevant teams to resolve issues. | - Total Errors Attributed to Data Pipeline Failures |
| Insights & Communication | - Document data issues and share insights with product and engineering teams.
- Recommend improvements to data definitions, processes, or calculations. | - Number of actionable improvements adopted.
- Improved data quality over time. |
Desired Experience & Skills
- Investor mindset: Actively investing in the stock market or passionate about financial markets.
- Fundamental Analysis: Good understanding of fundamental analysis techniques, including financial ratios (e.g., P/E, P/B, ROE).
- SQL knowledge: Comfortable with basic SQL queries and working with data.