Analytics Engineer: ML, ETL, Dashboards

Aquent; New York (NY); Hybrid; USD 100,000 - 130,000; Full time

Job summary

Aquent is seeking an experienced professional to take on a hybrid role in Union Square, NY. The candidate will be responsible for designing, developing, and implementing advanced analytical solutions to support crucial business decisions. Key tasks include building and optimizing data pipelines, developing machine learning models, and collaborating with cross-functional teams.

The ideal candidate should possess a Bachelor’s degree in Electrical Engineering or Computer Engineering, have strong SQL skills, and experience with BI tools like Power BI and Tableau. Familiarity with cloud platforms, especially AWS, is highly preferred.

Responsibilities

• Design, develop, and implement analytical solutions to support business decisions.
• Apply statistical and machine learning techniques to large datasets.
• Build data pipelines and ETL processes.

Skills

Strong SQL and database management experience

Experience with data pipelines and ETL processes

Proficiency in machine learning and statistical modeling

Experience with BI tools (Power BI, Tableau)

Full-stack development knowledge

Experience with cloud platforms (AWS preferred)

Strong understanding of data architecture

Ability to work with large-scale datasets and programming experience in Python or R

Strong problem-solving and analytical skills

Education

Bachelor’s degree in Electrical Engineering or Computer Engineering

Job description

Aquent is seeking an experienced professional to take on a hybrid role in Union Square, NY. The candidate will be responsible for designing, developing, and implementing advanced analytical solutions to support crucial business decisions. Key tasks include building and optimizing data pipelines, developing machine learning models, and collaborating with cross-functional teams.

The ideal candidate should possess a Bachelor’s degree in Electrical Engineering or Computer Engineering, have strong SQL skills, and experience with BI tools like Power BI and Tableau. Familiarity with cloud platforms, especially AWS, is highly preferred.