Data Product Analyst
Supports the reliability and quality of data powering a securities-based lending platform by monitoring data flows, investigating issues, validating deployments, and improving operational processes. Requires a bachelor's degree, strong analytical skills, and SQL proficiency.
About the job
Responsibilities
- Maintain and enhance data monitoring processes and alerts to proactively detect data quality issues, missing or delayed data feeds, and anomalies.
- Troubleshoot and resolve data issues end to end, including root-cause investigation, coordination with engineering and vendors, and stakeholder communication.
- Monitor daily data operations, including scheduled data loads, third-party data feeds, and downstream data flows.
- Perform data analysis, comparison, and validation for product deployments and new client onboarding.
- Document data issues, resolutions, and operational runbooks.
- Participate in process improvement projects, identifying opportunities to automate monitoring and reduce manual intervention.
- Support financial security data research and analysis as needed.
Requirements
- Bachelor's degree in finance, engineering, or a technology-related field.
- Strong analytical and quantitative thinking, attention to detail, and systematic problem-solving skills.
- Clear communication and ability to coordinate across technical and business teams.
- Proficiency in SQL, including queries for investigating and validating data.
- Proficiency in Microsoft Office Suite, especially Microsoft Excel and Microsoft PowerPoint.
Nice-to-haves
- Experience with data monitoring, data quality, or operational support.
- Experience in financial services, wealth management, or fintech.
Compensation and Benefits
- Salary: $60,000–$80,000 per year.
- Medical, dental, and vision insurance.
- HSA and FSA accounts.
- Life and disability insurance.
- 401(k) plan with employer contributions.
- Employee Assistance Program.
- Flexible paid time off.
- Commuter benefits, pet insurance, and continuing education assistance.
Skills
SQL, Excel, Microsoft Powerpoint, Data Monitoring, Data Quality, Data Analysis, Data Validation, Financial Services, Wealth Management, Fintech
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