Senior Data Analyst Job at JOBS by allUP in Tucson

Overview

Senior Data Analyst role at Worth AI. The selected candidate will analyze and optimize data that drives credit decisioning, underwriting, and fraud prevention models. Work with Finance, Risk, Product, and Engineering to mine large datasets, build dashboards, write business-critical queries, and help steer the company’s AI-driven underwriting strategy. Requires business acumen and technical proficiency, including data engineering principles, and delivering scalable analytics solutions in a regulated environment.

Base pay range

$70,000.00/yr - $110,000.00/yr

About our client

Worth AI, a forward-thinking company in the computer software industry, is looking for a detail-oriented and analytical individual to join its team as a Senior Data Analyst.

Responsibilities

• Mine and analyze large-scale credit, transactional, and behavioral datasets to identify trends, anomalies, and insights informing credit risk, underwriting, fraud, and pricing strategies.
• Write performant SQL queries to extract, transform, and analyze data across structured and semi-structured sources (including loan-level, customer, and bureau data).
• Design, build, and maintain interactive dashboards and reporting tools to support Finance, Risk, Credit, and Executive teams in monitoring key performance indicators.
• Partner with Data, Finance, Product, and Engineering teams to define and track key metrics for credit performance, loss forecasting, and portfolio health.
• Support the development and evaluation of AI/ML models by providing exploratory data analysis, historical performance context, and business rule validation.
• Collaborate with data engineering and data science teams to ensure pipelines are reliable, secure, and meet operational and regulatory standards.
• Automate recurring reports and analyses to improve visibility and reduce manual workflows across the credit and finance lifecycle.
• Contribute to model governance by ensuring documentation, auditability, and transparency of data inputs used in risk models and decision engines.
• Stay informed on regulatory and compliance requirements related to data usage in financial services (e.g., Fair Lending, ECOA, GLBA) and align analytics practices accordingly.

Requirements

• Bachelor's degree in Data Science, Statistics, Finance, Computer Science, or a related technical field
• 4+ years of experience in a data analytics or business intelligence role, ideally in fintech, financial services, or credit risk
• Advanced SQL skills and experience with cloud data platforms (e.g., AWS Redshift, Athena, Snowflake, BigQuery)
• Strong experience with data visualization tools like Tableau, Power BI, or Looker
• Solid understanding of credit risk concepts, underwriting processes, and key lending KPIs
• Exposure to AI/ML-based decision systems, especially in underwriting, fraud detection, or credit scoring
• Working knowledge of data engineering fundamentals and modern data stack tools (e.g., dbt, Airflow, ETL pipelines)
• Proficiency in Excel for detailed analysis
• Bonus: Experience with Python or other scripting languages for data analysis and automation
• Excellent communication and problem-solving skills to present data insights to technical and non-technical stakeholders
• High standards for data integrity, governance, and regulatory compliance in a financial environment

Benefits

• Life Insurance
• Unlimited Paid Time Off
• 9 paid Holidays
• Family Leave
• Work From Home
• Free Food & Snacks (Access to Industrious Co-working Membership!)
• Wellness Resources

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Analyst

Industries: Financial Services and Software Development