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Operations Research, Data Platform Engineer
Nexus CognitiveOperations Research Analyst/Data Platform Engineer applying analytics for NexusOne's data platform optimization. Collaborating with internal teams to enhance data orchestration and governance across client solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in mathematical modeling and statistical analysis to evaluate data platform performance and compliance. Capable of translating complex quantitative findings into actionable recommendations for diverse stakeholders.
Highest-signal resume keywords
Mathematical ModelingStatistical AnalysisData Performance EvaluationQuantitative AnalysisClient Stakeholder Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Requirements DefinitionQuantitative Information ValidationPerformance OptimizationGovernance Policy ComplianceData Pipeline ExecutionOperational Problem SolvingAI Pipeline ReadinessLegacy System ModernizationData Analysis TechniquesAnalytical Problem-Solving
Soft Skills
CollaborationClear CommunicationProblem-Solving
Tools & Technologies
NexusOne Platform
Industry Keywords
Information TechnologyData OrchestrationGovernance EnforcementOperational EnvironmentClient Deployments
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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