Analytics Engineer: AI-Driven Dashboards & Pipelines

QS Security Services, LLC; Columbus (OH); On-site; USD 95,000 - 140,000; Full time

Benefits offered by this job

Medical, Dental, and Vision

Employee Assistance Program

Flexible Spending Accounts

Health Savings Account with employer

Wellness Programs & Discounts

Paid Time Off

Parental Leave of Absence

Life and Accident Insurance

Voluntary benefits

401(k) plan with employer match

Job summary

NetJets in Columbus, OH is seeking an Analytics Engineer to help operationalize our enterprise analytics and AI ecosystem. You will implement technical solutions, support dashboards, data pipelines, and AI/ML workflows, delivering high-quality analytics outputs and scalable tooling under guidance from senior staff.

You will collaborate across teams to translate business priorities into actionable insights, promote governance, and contribute to reproducible notebooks and automation.

Qualifications

• Familiarity with cloud-based analytics platforms (Snowflake, Tableau, AWS).
• Strong Python and SQL programming skills.
• Exposure to AI/ML tools preferred.
• Ability to analyze data and derive actionable insights.
• Collaborative and effective across teams; knowledge of Agile a plus.
• Bachelor's degree Analytics and Computer Science backgrounds.

Responsibilities

• Maintain cloud-based analytics platforms and dashboards.
• Develop data pipelines and AI/ML proof-of-concept work.
• Support onboarding, access management, and governance.
• Promote reproducible notebooks and automation practices.
• Translate business requirements into dashboards and self-service analytics.

Skills

Python

SQL

Scripting/Automation

Analytics/BI concepts

Collaboration/Communication

Education

Bachelor's in Computer Engineering or related field

Bachelor's degree Analytics

Bachelor's degree Computer Science

Tools

Snowflake

Tableau

AWS

Job description

NetJets in Columbus, OH is seeking an Analytics Engineer to help operationalize our enterprise analytics and AI ecosystem. You will implement technical solutions, support dashboards, data pipelines, and AI/ML workflows, delivering high-quality analytics outputs and scalable tooling under guidance from senior staff.

You will collaborate across teams to translate business priorities into actionable insights, promote governance, and contribute to reproducible notebooks and automation.