Hybrid Data Analytics Engineer (ETL, ML, BI)

Skill; New York (NY); Hybrid; USD 105,386 - 117,096; Full time

Job summary

Skill is seeking a data analyst to design and implement advanced analytical solutions. This hybrid role emphasizes strong SQL skills and proficiency in machine learning, requiring a Bachelor's degree in Electrical or Computer Engineering. The successful candidate will work with data pipelines, ETL frameworks, and BI tools like Power BI and Tableau to support business decisions.

The ideal applicant will have experience in full-stack development and cloud platforms, especially AWS, to set up scalable infrastructure.

Qualifications

• Strong SQL and database management experience.
• Experience with data pipelines and ETL processes.
• Proficiency in machine learning and statistical modeling.
• Experience with BI tools like Power BI and Tableau.
• Full-stack development knowledge.
• Experience with cloud platforms, preferably AWS.

Responsibilities

• Design, develop, and implement analytical solutions for business decisions.
• Develop data pipelines and ETL processes.
• Collaborate with cross-functional teams to define data requirements.
• Build dashboards and reports using BI tools.
• Write complex SQL queries and manage data in databases.

Skills

SQL and database management

Data pipelines and ETL processes

Machine learning and statistical modeling

BI tools (Power BI, Tableau)

Full-stack development

Cloud platforms (AWS preferred)

Education

Bachelor's degree in Electrical Engineering or Computer Engineering

Job description

Skill is seeking a data analyst to design and implement advanced analytical solutions. This hybrid role emphasizes strong SQL skills and proficiency in machine learning, requiring a Bachelor's degree in Electrical or Computer Engineering. The successful candidate will work with data pipelines, ETL frameworks, and BI tools like Power BI and Tableau to support business decisions.

The ideal applicant will have experience in full-stack development and cloud platforms, especially AWS, to set up scalable infrastructure.