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Lead Data Analyst
Brown UniversityProvidenceLead Data Analyst Brown UniversityTo view the full job posting and apply for this position, go to: https://brown.wd5.myworkdayjobs.com/en-US/staff-careers-brown/job/Mencoff-Hall/Lead-Data-Analyst_REQ2
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Lead, Enterprise Data Analyst
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Lead, Enterprise Data Analyst
Under ArmourUnited StatesLead, Enterprise Data AnalystLead, Enterprise Data AnalystValues & InnovationAt Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Cele
Lead, Enterprise Data Analyst
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Lead, Enterprise Data Analyst
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Lead Data Analyst, Marketing
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Lead Business Data Analyst
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Lead Data Analyst - PLM & Data Transformation (Hybrid)
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Lead Data Analyst
- Providence, Rhode Island, United States
- Providence, Rhode Island, United States
À propos
To view the full job posting and apply for this position, go to: https://brown.wd5.myworkdayjobs.com/en-US/staff-careers-brown/job/Mencoff-Hall/Lead-Data-Analyst_REQ209200
Job Description:
The Population Studies and Training Center (PSTC) at Brown University is seeking a Lead Data Analyst to work with Professor Elizabeth Fussell (PSTC (Research)) on several projects involving the analysis of data on the health and mobility outcomes of disaster-affected populations. The Lead Data Analyst will participate in data management, statistical analysis, assist with grant proposals, manuscript production for publication in peer-reviewed journals, and presentations at scientific conferences. Publications stemming from the designated research projects may be co-authored with Prof. Fussell and other co-investigators.
This 18 hour a week position is 100% grant funded and is renewable annually up until March 31st, 2028 based on satisfactory work performance and depending on funding source.
Education and Experience Bachelor's degree in a related field and 5 to 7 years experience or equivalent combination of education and experience. Master's degree in Statistics, Health, or Social Sciences, preferred. Experience in Stata required, SAS or R preferred. Ability to work well both independently and collaboratively. Effective at communicating with interdisciplinary audiences whose technical backgrounds vary widely. Efficient time management skills. Proven ability to work effectively on multiple projects at the same time. Knowledge and experience in design and construction of databases with SAS. Experience analyzing and managing large complex data sets Highly proficient in statistical software packages (e.g., Stata and SAS or R)
All offers of employment are contingent upon a criminal background check and education verification satisfactory to Brown University.
Note : Applicants must submit a cover letter and CV/resume.
Additional physical demands and working conditions:
The Position Work Location is Hybrid Eligible with a 2 days/week onsite requirement at the Federal Statistical Research Data Centers (FSRDC) with a preference for Boston RDC , other FSRDC locations could be considered.
Benefits of Working at Brown:
Please review additional information on the Benefits of Working at Brown .
Recruiting Start Date:
2026-05-12
Job Posting Title: Lead Data Analyst
Department: Population Studies and Training Center
Grade: Grade 10
Worker Type: Employee
Worker Sub-Type : Fixed Term (Fixed Term)
Time Type: Part time
Scheduled Weekly Hours: 18
Position Work Location: Hybrid
Submission Guidelines:
Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
This position is not eligible for visa sponsorship.
Still Have Questions?
If you have any questions you may contact employment@brown.edu .
Brown is an E-Verify Employer.
EEO Statement:
Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.
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- English
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