Data Analyst

Yale University; New Haven (CT); Vor Ort; USD 68.000 - 121.000; Vollzeit

Zusammenfassung

Yale University in New Haven, CT, seeks a data management specialist to support research data operations. You will build relational datasets, maintain data pipelines, and enable accurate reporting for multiple studies.

The role requires a Master’s degree in a quantitative field and at least two years of related experience. Responsibilities include designing database structures, documenting data files, and developing statistical programs to combine data from various projects.

Qualifikationen

• Strong experience with data management and analysis.
• Proficiency in SQL, R, Python, and SAS/Stata.
• Ability to communicate data insights through reports and visualizations.
• Two years of experience in data management and analysis is expected.
• Master’s degree plus two years of experience or equivalent.
• Experience coordinating data collection across multiple groups.

Aufgaben

• Create relational databases from study data stored across multiple sources.
• Design database structures for data analysis and reporting.
• Develop procedures for collecting, editing, and managing study data.
• Document data files, definitions, and data codes.
• Write specifications for analysis files and perform checks.
• Develop statistical programs to integrate data from multiple studies.

Kenntnisse

Analytical skills

Ausbildung

Master’s degree

Tools

SQL

R

Python

SAS

Stata

Tableau

Power BI

Jobbeschreibung

Support research data management and statistical analysis by building relational datasets, maintaining data pipelines, and enabling accurate reporting at Yale University in New Haven, CT.

Responsibilities

• Create relational databases from existing study data stored across multiple data sources.
• Design comprehensive relational database structures using advance knowledge of application factors affecting data analysis and reporting.
• Develop and document operational procedures for collecting, editing, verifying, and managing study data.
• Document study data files, including data structure and relationships, variable definitions, and data codes.
• Write detailed specifications for analysis files and perform consistency checks.
• Develop and implement statistical programs to incorporate data from multiple studies and projects.
• Organize and create dataset-related documentation, tables, and outputs; coordinate with data sources on data accuracy and data dictionary.
• Evaluate and analyze data using accepted statistical techniques and statistical analysis software.
• Perform descriptive and multivariate statistical analyses using computer software.
• Use advanced statistical knowledge to support managing and analyzing data.
• Design and implement quality control measures to ensure accurate data collection and processing.
• Protect database integrity through data cleaning, required checks, and data backups.
• Handle study data documentation and transmission.
• Help ensure data are collected and completed in a timely manner at each site location.
• May perform other duties as assigned.

Requirements

• Strong experience with data management systems, including proficiency in SQL, R, Python, and other scientific programming software.
• Excellent analytical skills, including experience cleaning, analyzing, and visualizing large data sets.
• Ability to communicate data insights through reports, presentations, and data visualizations.
• Proven ability to work independently and collaboratively in diverse teams, with strong organizational and problem-solving skills.
• Proven experience with statistical analysis and machine learning methods, including proficiency in tools such as SAS and Stata (or similar).
• Master’s degree in statistics, computer science, business administration or a related field, plus two years of experience in data management and analysis (or an equivalent combination of education and experience).
• Experience with data collection and coordinating efforts across multiple groups.

Preferred Skills and Abilities

• Advanced degree in a quantitative field (examples: statistics, computer science, data science, economics).
• Demonstrated experience coordinating data management for research studies and managing complex datasets.
• Technical experience in data modeling, database design, and data mining techniques.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Proven experience in survey design and working with institutional data related to faculty or similar populations.

Technologies

• SQL
• R
• Python
• SAS
• Stata
• Tableau
• Power BI

Education

• Master’s degree in statistics, computer science, business administration or a related field

Job Details

• Location: New Haven, CT (onsite)
• Job category: Professional
• Time type: Full time
• Duration type: Staff
• Work model: On-site
• Min experience: 2 years
• Salary: USD 68,000 - 120,500 per yearly
• Posting date: 10/27/2026
• Bargaining unit: NON
• Compensation grade: Administration & Operations
• Compensation grade profile: Manager; Program Leader (P5)
• Salary range: $68,000.00 - $120,500.00

Background Check and Health Requirements

• Pre-employment background screening may include motor vehicle, DOT certification, drug testing, and credit checks based on job requirements.
• Offers are contingent on successful completion of the background check.
• Certain roles may have associated health requirements (vaccinations, tests, or examinations) as required by law, regulation, or university policy.

Posting Disclaimer

• Salary offers depend on qualifications, experience, skills, and education relative to requirements, plus the role’s grade profile and internal and external market conditions.
• This job description summarizes essential functions and is not a declaration of specific duties and responsibilities.
• Duties are assigned by the hiring department.
• Yale University is a tobacco-free campus.

Benefits

• A general description of the benefits is available at Yale Benefits (Managerial & Professional position).