Operations Research / Data Platform Engineer

NexusOne; Atlanta (GA); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Collaborative team culture

Opportunities for learning and development

Challenging work with meaningful contributions

Job summary

NexusOne in Atlanta, Georgia is seeking an Operations Research Analyst/Data Platform Engineer to enhance their data platform and support client engagements. You’ll apply mathematical modeling, statistical analysis, and optimization techniques to improve performance and compliance across data operations.

The ideal candidate holds a Bachelor's degree in a related field and has experience in IT. Responsibilities include formulating models, validating data requirements, and summarizing findings for stakeholders. NexusOne fosters a collaborative culture that values contributions and development opportunities.

Qualifications

• Bachelor's degree required, with strong analytical skills.
• Experience in IT applying quantitative methods.
• Familiarity with statistical methods for data systems evaluation.

Responsibilities

• Formulate and apply mathematical models for data performance.
• Define data requirements and validate quantitative information.
• Present analysis results to stakeholders.

Skills

Statistical analysis

Mathematical modeling

Data interpretation

Problem solving

Education

Bachelor's degree in Computer Science or related field

Master's degree in Business Analytics or related discipline

Job description

Operations Research Analyst/Data Platform Engineer – responsible for applying mathematical modeling, statistical analysis, and systems optimization techniques to support the development, deployment, and operational performance of the NexusOne data platform and its client delivery engagements.

Key Responsibilities

• Formulate and apply mathematical and statistical models to evaluate the performance of NexusOne's cross-estate data orchestration layer, identifying optimization opportunities across identity management, governance enforcement, and data pipeline execution.
• Define data requirements, gather and validate quantitative information from NexusOne's operational environment, and apply statistical methods to assess platform performance, pipeline throughput, and governance policy compliance across client deployments.
• Present the results of mathematical modeling and data analysis to client stakeholders and delivery leadership, translating quantitative findings into platform configuration recommendations and operational decisions.
• Collaborate with engineering and client delivery teams to identify and solve complex data operational problems — including legacy system modernization, AI pipeline readiness, and cross-estate governance gaps — using NexusOne as the enabling platform.
• Prepare technical and management reports evaluating data operational problems, analyzing solution alternatives, and recommending NexusOne configurations that meet client performance, compliance, and AI readiness requirements.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Business Analytics, or a related field that develops analytical, logical, reasoning, and problem-solving skills.
• Experience in the information technology industry applying quantitative and analytical methods to operational or data platform challenges.
• Working knowledge of statistical analysis and mathematical modeling techniques as applied to data systems and platform performance evaluation.
• Ability to translate quantitative findings into clear recommendations for both technical and non-technical stakeholders.

Preferred Qualifications

• Master's degree in Business Analytics or a related discipline.
• Experience transforming legacy infrastructure into scalable Spark/Airflow environments to support real-time analytical workloads.
• Experience delivering data products that reduce operational latency and cost while enabling data-driven decision-making.
• Familiarity with Infrastructure as Code practices supporting process optimization and automation.

Benefits

• A collaborative team culture built on curiosity and respect.
• Challenging work where your contributions clearly matter.
• A leadership team that invests in learning and development.
• The opportunity to work at the intersection of cloud, data, and AI innovation.