Research Data Analyst

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ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL®, TOEIC®, GRE® and Praxis® tests, serving millions of learners in more than 200 countries and territories.

Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide. Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere.

With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide. Implement and contribute to the planning of assigned data analysis components of medium to large‑scale, complex research projects for ETS researchers, testing program areas, and external clients.

Data analysts are assigned to work on projects individually or as part of a team, for long or short periods of time depending on the requirements of the project and the specialized skills of the analysts involved.

• Implement and contribute to the planning of assigned data analysis components of medium‑to large‑scale, complex research projects requiring the development of complex data analysis systems.
• Consult with area senior data analysis staff in the application, modification, and design of such systems using established technologies from diverse fields.
• Contribute to the planning of the schedule of tasks required to complete major components of large‑scale, complex data analyses.
• Work effectively in a team setting with researchers, testing program areas, and external clients and take an active role in contributing to team discussions and decisions.
• Analyze, design, modify, develop, document and implement technologies for executing medium‑to large‑scale, complex research and development data analyses/methodologies. Identify unusual data analysis situations and problems and develop solutions.
• Consult area‑or division‑wide on the development of technologies for executing medium‑to large scale, complex research and development data analysis projects/methodologies.
• Contribute to the evaluation and/or the implementation and support of new hardware/software/data analysis methodologies to support research system development.
• Contribute to the preparation of data analysis components of proposals and cost/resource estimates.
• Maintain continuing awareness of recent advances in numerical analysis, computer science and statistical technologies.
• Assist with area‑wide staff training and development initiatives through one‑on‑one mentoring and/or small group training exercises.
• Implement components of technical documentation of data analysis systems, solutions and results.
• May be responsible for developing full technical documentation of data analysis systems, solutions, and results.
• Cloud computing platforms (e.g., AWS, Azure).
• Data management manipulation & analysis packages such as R, Pythong, Stata, or SAS;
  Able to apply with minimal supervision. Advanced knowledge may be required for selected projects.

• A Master's degree in Computer Science, Mathematics or Statistics, or a closely related field or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired is necessary.
• Four to five years of diverse experience in data analysis, handling increasingly more complex and diverse research and development data analyses is necessary.

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