Senior Data Analyst

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

Our client is looking for a Senior Data Analyst who will support cross-functional teams across the organization by delivering data, reporting, and insights that drive risk management, credit policy, profitability, and decision-making throughout the lending lifecycle. This role partners with stakeholders across underwriting, servicing, collections, finance, and leadership to monitor portfolio performance and drive business decisions through data-driven insights and analytics. The ideal candidate brings strong analytical and critical thinking skills within lending or financial services, advanced SQL expertise, and the ability to translate complex data into clear, actionable recommendations.

This role is not eligible for visa sponsorship. All applicants must be authorized to work for any employer in the US.

Responsibilities

• Analyze loan, customer, and portfolio data to identify trends, segments, and performance drivers that support credit and business objectives
• Write and optimize SQL queries to extract and analyze large datasets for reporting and insights
• Support underwriting, servicing, and collections teams with data-driven insights related to credit performance and customer behavior
• Develop and maintain reporting for Finance and Accounting, including audit readiness, securitization reporting, and external investor deliverables
• Build and maintain Tableau dashboards and reports tracking KPIs across various business functions
• Partner closely with IT and data engineers to ensure data accuracy, accessibility and reliable reporting outputs
• Present insights and recommendations to credit leadership and key stakeholders

Requirements

• S. degree or higher in Data Science, Statistics, or equivalent quantitative field
• 3+ years of experience in data analytics within Credit Risk / Finance – related industry or 5+ years of experience in data analytics overall
• Proven ability to aggregate, extract, validate, and analyze large datasets using complex SQL queries
• Advanced knowledge of credit and default risk and prior experience designing frameworks to detect and monitor delinquent and at-risk assets
• Hands-on experience building and publishing customized and interactive dashboards within Tableau
• Advanced level of MS Excel skills, including advanced formulas, pivots and data tables
• Passionate about solving problems with data and high level of intellectual curiosity
• Highly motivated to work on multiple projects in parallel and team player with a startup spirit
• Very strong written and oral communication skills, with proven ability to translate complex analysis into actionable insights to a non-technical audience

Preferred

• Experience working with cloud-based data technologies such as Snowflake or similar
• Working knowledge or experience in data collection, transformation, and storage from various sources including relational databases, APIs, logs, and unstructured files
• Attractive company subsidized Medical, Dental and Vision plans with leading insurance providers
• 401K Plan with Company Match
• Life Insurance at No Cost to Employees
• Health Care and Dependent Care Flexible Spending