Remote Data & Analytics Engineer (SQL, Python)

Eliassen Group; Dover (DE); Remote; USD 171,924,000 - 200,579,000; Part time

Benefits offered by this job

Medical

Dental

Vision

401k with company matching

Life insurance

Pre-tax accounts

Sick time

Job summary

Eliassen Group is hiring a Technical/Business Analyst/Engineer for a contract-to-hire engagement. The position supports the Commercial Mortgage Data Warehouse, requires strong SQL and data analysis capabilities, and offers remote work with near-term project-driven demand.

Expect collaboration with IT and business teams in an Agile setting and a focus on data quality and process improvements. Ideal candidates have advanced SQL skills, familiarity with Python for automation, and experience in data

Qualifications

• Bachelor's degree or equivalent related work experience.
• 5-7 years IT experience in Business Analysis or Data Analysis so preferred.
• Advanced SQL skills with data analytics and quality checks.
• Experience with Python for data analysis or scripting is a plus.

Responsibilities

• Develop, validate, document, and maintain business and functional requirements.
• Transform business requirements into SQL statements.
• Analyze data to triage issues within the data model and ensure quality.
• Collaborate with data architects and business sponsors in Agile environments.
• Develop test plans and execute test scripts for data model changes.

Skills

SQL

Python

Excel

APIs

Alteryx

Agile

Education

Bachelor's degree or equivalent

Tools

Alteryx

REST/JSON

Job description

Eliassen Group is hiring a Technical/Business Analyst/Engineer for a contract-to-hire engagement. The position supports the Commercial Mortgage Data Warehouse, requires strong SQL and data analysis capabilities, and offers remote work with near-term project-driven demand.

Expect collaboration with IT and business teams in an Agile setting and a focus on data quality and process improvements. Ideal candidates have advanced SQL skills, familiarity with Python for automation, and experience in data