Data Analyst

Jobtailor; Atlanta (TX); On-site; USD 70,000 - 100,000; Full time

Job summary

Jobtailor in the United States is seeking a skilled data analyst to support our data ecosystem. You will analyze complex datasets, automate reporting with SQL and Python, and partner with engineering and business teams to deliver insights that matter.

You will work with Snowflake, Amazon Redshift, and SQL Server to optimize data models and build scalable solutions that power daily operations and strategic decisions for the trading desk.

Qualifications

• 3+ years of professional experience analyzing complex datasets and writing SQL, Python, or similar languages to automate reporting and analysis.
• 2+ years of professional experience in fintech or structured products, working with loan-level information and understanding amortization, prepayment, default, and loss severity.
• Comfortable evaluating credit performance and communicating insights to both technical and business audiences.
• Experience with cloud data warehouses like Snowflake, Amazon Redshift, and SQL Server, and experience optimizing queries and data models for performance at scale.
• A first-rate collaborator and communicator, comfortable working alongside engineers and business teams, translating analytical requirements into actionable deliverables.

Responsibilities

• Play a central role in our data ecosystem.
• Support essential workflows that power our daily operations.
• Collaborate with trading desk to understand their data needs and build queries to support their analysis.
• Leverage platforms like Snowflake, Amazon Redshift, and SQL Server to build scalable data solutions.

Skills

SQL

Python

Data Analysis

Query Optimization

Data Modeling

Tools

Snowflake

Amazon Redshift

SQL Server

Job description

• Play a central role in our data ecosystem.
• Support essential workflows that power our daily operations.
• Collaborate with trading desk to understand their data needs and build queries to support their analysis.
• Leverage platforms like Snowflake, Amazon Redshift, and SQL Server to build scalable data solutions.

Requirements

• 3+ years of professional experience analyzing complex datasets and writing SQL, Python, or similar languages to automate reporting and analysis.
• 2+ years of professional experience in fintech or structured products, working with loan-level information and understanding the complexities of amortization, prepayment, default, and loss severity.
• Comfortable evaluating credit performance and communicating insights to both technical and business audiences.
• Experience with cloud data warehouses like Snowflake, Amazon Redshift, and SQL Server, and have experience optimizing queries and data models for performance at scale.
• A first-rate collaborator and communicator, comfortable working alongside engineers and business teams, translating analytical requirements into actionable deliverables.

Core Competencies

Demonstrates expertise in analyzing complex datasets and automating reporting using SQL and Python, while effectively collaborating with technical and business teams to deliver actionable insights. Proficient in leveraging cloud data warehouses to optimize data solutions for performance at scale.

Hard Skills

• Data Analysis
• SQL
• Python
• Query Optimization
• Data Modeling

Soft Skills

• Collaboration
• Communication

Industry Keywords

• Fintech
• Structured Products
• Loan-Level Information
• Amortization
• Prepayment
• Default
• Loss Severity

Tools & Technologies

• Snowflake
• Amazon Redshift
• SQL Server