Data Analyst — AI-Driven Pipelines & Insights (Hybrid)

Spectraforce Technologies, Inc.; McLean (VA); Hybrid; USD 65,000 - 100,000; Full time

Job summary

Spectraforce Technologies, Inc. is seeking a Data Analyst for a 3-month hybrid role in McLean/Richmond, VA. You will manage end-to-end data projects, build pipelines, and enable data-driven decision making for leadership.

Responsibilities include developing robust data solutions, modernizing risk controls, and contributing to enterprise data initiatives. Proficiency in SQL, Python, Snowflake, and Databricks is preferred, with collaboration across product and process partners.

Qualifications

• Strong foundation in data analysis and programming (SQL/Python).
• Experience building data pipelines and analytical data products.
• Familiar with data platforms and enterprise tools.
• Ability to translate requirements into technical solutions.

Responsibilities

• Independent ownership of data projects from requirements to leadership presentation.
• Build, maintain, and scale data pipelines and analytical data products for the Card LOB.
• Modernize controls and risk management using enterprise technologies.
• Contribute to high-impact initiatives including data infrastructure modernization.
• Leverage AI-assisted development tools to accelerate coding and data workflows.
• Collaborate in stand-ups and knowledge-sharing sessions.
• Work daily with SQL, Snowflake, Databricks, Python; GitHub.

Skills

SQL

Python

Data analysis

AI tools

GitHub

Tools

Snowflake

Databricks

GitHub Copilot

Claude

eDQ

EMP

Snowland

Skycap

Job description

Spectraforce Technologies, Inc. is seeking a Data Analyst for a 3-month hybrid role in McLean/Richmond, VA. You will manage end-to-end data projects, build pipelines, and enable data-driven decision making for leadership.

Responsibilities include developing robust data solutions, modernizing risk controls, and contributing to enterprise data initiatives. Proficiency in SQL, Python, Snowflake, and Databricks is preferred, with collaboration across product and process partners.