Senior Data Analyst - Credit Risk & Portfolio Insights

Solomon Page; New York (NY); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Company subsidized Medical, Dental and Vision plans

401K Plan with Company Match

Life Insurance at No Cost to Employees

Health Care and Dependent Care Flexible Spending

Job summary

A leading consulting firm in New York is seeking a Senior Data Analyst to support various teams with data-driven insights impacting risk management and credit policy. The ideal candidate should have a strong analytical background, with at least 3 years of experience in data analytics within the finance sector, along with advanced SQL skills and proficiency in Tableau. This role includes responsibilities such as analyzing loan data and collaborating with cross-functional teams to drive business decisions based on data insights.

Qualifications

• 3+ years of experience in data analytics within Credit Risk or Finance.
• Proven ability to aggregate, extract, and analyze large datasets using SQL.
• Hands-on experience building and publishing dashboards in Tableau.

Responsibilities

• Analyze loan, customer, and portfolio data to identify trends and performance drivers.
• Write and optimize SQL queries for large datasets.
• Develop and maintain reporting for Finance and Accounting.

Skills

SQL expertise

Analytical skills

Data visualization in Tableau

MS Excel advanced skills

Communication skills

Education

Bachelor's degree in Data Science, Statistics, or equivalent

Tools

Tableau

Snowflake

Job description

A leading consulting firm in New York is seeking a Senior Data Analyst to support various teams with data-driven insights impacting risk management and credit policy. The ideal candidate should have a strong analytical background, with at least 3 years of experience in data analytics within the finance sector, along with advanced SQL skills and proficiency in Tableau. This role includes responsibilities such as analyzing loan data and collaborating with cross-functional teams to drive business decisions based on data insights.