Remote Data & Analytics Analyst/Engineer (SQL, Python)

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

Benefits offered by this job

Medical

Dental

Vision

401k

Life Insurance

Job summary

Eliassen Group is seeking a Technical/Business Analyst/Engineer to work remotely across the United States. The contractor may convert to permanent hire. Responsibilities include transforming business requirements into SQL, validating data models, and collaborating with IT and business teams in an Agile environment.

Required skills include Advanced SQL, Python scripting, Excel, and experience with APIs or data integrations. A Bachelor’s degree and 5–7 years IT experience are preferred.

Qualifications

• Ability to transform data into information for analytics.
• Advanced SQL skills with Alteryx or similar tools for data anomaly detection.
• Experience with Python for data analysis, automation, or scripting is a plus.
• Experience with APIs or system integrations (REST, JSON) is a plus.
• Advanced Excel skills.

Responsibilities

• Develop, validate, document, and maintain requirements.
• Transform business requirements into SQL statements.
• Analyze data to triage issues in the data model.
• Collaborate with data architects and stakeholders in Agile.
• Improve data quality through automation.
• Review existing functionality and perform gap analysis.
• Develop test plans and scripts for changes.
• Assist with integrations between systems (APIs or file-based).

Skills

Advanced SQL

Python scripting

APIs/Integrations

Excel skills

Alteryx

Data analysis

Analytical thinking

Communication skills

Education

Bachelor's degree

5-7 years IT experience

Tools

Alteryx

REST/JSON

Job description

Eliassen Group is seeking a Technical/Business Analyst/Engineer to work remotely across the United States. The contractor may convert to permanent hire. Responsibilities include transforming business requirements into SQL, validating data models, and collaborating with IT and business teams in an Agile environment.

Required skills include Advanced SQL, Python scripting, Excel, and experience with APIs or data integrations. A Bachelor’s degree and 5–7 years IT experience are preferred.