Remote Technical Data Analyst — Contract-to-Hire

Eliassen Group; Madison (WI); Remote; USD 83,000 - 96,000; Full time

Benefits offered by this job

Medical, Dental & Vision

401(k) with company match

Life insurance

Job summary

Eliassen Group is hiring a Technical/Business Analyst/Engineer for a remote contract-to-hire role, supporting data solutions across a PLM platform for commercial mortgage data.

The role translates business requirements into technical specifications and validated data outcomes, working with IT and business stakeholders in an Agile environment to improve data quality and delivery timelines.

Qualifications

• Transform data into information for analytics and reporting.
• Advanced SQL skills; experience with data anomaly detection tools.
• Experience with Python for data analysis, automation, or scripting.
• Experience with APIs or system integrations (REST/JSON).
• Strong Excel skills and ability to learn new tools quickly.

Responsibilities

• Develop, validate, and document business and functional requirements.
• Own development of requirements for data warehouse and reporting.
• Translate business needs into SQL statements and data models.
• Collaborate with data architects, sponsors, admins, and report writers in Agile environments.
• Analyze source data to improve quality and triage data issues.
• Assist with integrations between systems and data feeds.
• Create test plans and execute tests for data model changes.
• Support ongoing data automation and process improvements.

Skills

SQL

Alteryx

Python

APIs (REST/JSON)

Excel

Data analysis

Education

Bachelor's degree or equivalent

5-7 years IT-related experience

Job description

Eliassen Group is hiring a Technical/Business Analyst/Engineer for a remote contract-to-hire role, supporting data solutions across a PLM platform for commercial mortgage data.

The role translates business requirements into technical specifications and validated data outcomes, working with IT and business stakeholders in an Agile environment to improve data quality and delivery timelines.