Product Manager-Salaried Personal LOANS-NEW-Product Manager
2 days ago
About The Role
About the Role
We are seeking a detail-oriented and analytical Data Analyst to join our Personal Loans Product team. This individual will play a key role in driving data-driven decision-making to support product performance and strategic objectives. The ideal candidate should have a solid background in data analysis, with hands-on experience in analytical tools and languages such as SAS and SQL. The candidate should also have a strong ability to build, analyze, and automate business reports.
Key Responsibilities:
- Analyze large datasets to extract actionable insights for the Personal Loans Product team, supporting strategic and tactical decision making.
- Develop and maintain automated reports and dashboards to monitor product performance and key metrics.
- Collaborate with cross-functional teams, including Marketing, Risk, and Operations, to understand data needs and provide analytical support.
- Perform data validation and data quality checks to ensure accuracy and reliability of reports.
- Generate reports and visualizations that provide clear insights and recommendations on product performance and customer behavior.
- Identify opportunities to optimize and enhance the existing reporting processes.
Required Qualifications:
- Experience27 years of hands-on experience in a data analysis role, preferably within the banking or financial services sector.
- Technical
Skills:
- Proficiency in SAS and SQL for data extraction, manipulation, and analysis.
- Analytical
Skills:
- Strong analytical mindset with experience in building and automating business reports.
- Problem SolvingAbility to translate complex data into clear and actionable insights for business stakeholders.
- CommunicationStrong verbal and written communication skills to effectively present findings and recommendations.
Preferred Qualifications:
- Experience working with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of personal loans or other retail lending products.
- Familiarity with other analytical tools or programming languages, such as Python or R.
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