1329 Quantitative Analyst jobs in Kennesaw,GA

Up to USD $15 per hour, paid weekly

Earn up to USD $15 per hour

On average, contributors earn an additional 7.5% through Missions — Outlier's version of surge pricing. The top quartile boosts their earnings by an average of 11%.

Payments are processed weekly on Tuesdays, covering tasks completed during the previous pay period (Tuesday to Monday at midnight UTC), via PayPal, AirTM, or ACH transfer.

Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates apply. Additional incentives data is based on payments made in the past six months and is updated quarterly. Certain projects offer incentive payments. Please review the payment terms for each project.

Free access to leading LLMs, worth $200+/month

Flexible, no minimum hours

Work flexibly from anywhere, anytime, with no minimum hours. Set your own schedule, whether that's five or 40+ hours per week.

A valid ID and mobile phone from your country of residence

An up-to-date resume that highlights your expertise

A LinkedIn profile showing your educational background and work experience

You must be authorized to work in your country of residence

Fluent English speaker

Experience writing short, evidence-based explanations or reviews

Nice to have: Pursuing or holding a Bachelor's degree or above

Annual base salary range: $80,000 - $90,000

Bonus target range: 10% - 20%

Generous benefits package including medical, dental, vision, life, disability

Time off with pay

401(k) plan with a degree of employer matching

Paid parental leave

Wellness programs and product discounts

Bachelor's degree in Supply Chain, Business, Data/Information Management, Engineering, or related field.

2–5 years of experience in Master Data, Data Governance, or Data Management.

Hands‑on experience with SAP ERP (ECC or S/4HANA).

Understanding of core Supply Chain or Operations processes.

Experience with SAP MDG and SAP Fiori applications.

Knowledge of Data Governance principles (data ownership, stewardship, lineage, quality, and classification).

Exposure to process improvement methodologies (LEAN, Six Sigma, HDMS).

Experience in manufacturing or product‑centric environments.