Data Analyst
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 2, 2026. Strategic Staffing Solutions scores B on the Alion truth index.
Senior Data Analyst / Data Engineer
Job Type: Contract
Location: TBD
Position Overview
We are seeking an experienced Senior Data Analyst / Data Engineer with strong SQL and Python skills to optimize existing data pipelines, consolidate scripts, and develop new datasets to support business needs.
The ideal candidate is a hands-on technical professional who can work independently with ambiguous or loosely defined data, identify opportunities for improvement, and deliver scalable, reusable, and high-quality data solutions.
Key Responsibilities
Analyze, consolidate, and optimize existing SQL and Python scripts and data pipelines to improve efficiency, performance, and reusability.
Design, develop, and implement new datasets to support business reporting, analytics, and operational requirements.
Work with ambiguous, incomplete, or loosely defined datasets to identify patterns, resolve inconsistencies, and establish reliable data structures.
Improve data quality, consistency, and integrity across existing and newly developed datasets.
Collaborate with business and technical stakeholders to clarify data requirements and translate business needs into technical solutions.
Troubleshoot data issues, streamline workflows, and implement sustainable improvements to data processes.
Document data transformations, pipeline logic, and development processes.
Required Qualifications
Strong hands-on SQL and Python development experience.
Proven experience consolidating, simplifying, and optimizing existing scripts and data pipelines.
Experience building and deploying new datasets from the ground up.
Demonstrated ability to work with ambiguous, unstructured, or poorly defined data requirements.
Strong data analysis, troubleshooting, and problem-solving skills.
Ability to work independently and collaborate with cross-functional teams.
Preferred Qualifications
Experience with Databricks, Microsoft OneLake, or OneStream.
Experience using Git or similar version control tools.
Familiarity with Capital One datasets, data platforms, or enterprise data environments.
Previous experience in financial services or banking.
Ideal Candidate
We welcome candidates from both Data Analyst and Data Engineer backgrounds, provided they have strong SQL and Python expertise, hands-on pipeline optimization experience, and the ability to develop reliable datasets in environments with unclear or evolving requirements.