Data Analyst
- Fredericton, NB, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 3-5 years' experience in manipulating large complex data sets and applying statistical methods and principles to services research.
- Working hours
- 36.25 hours per week
- Posting language
- English
- Posted
Original job description
Discover
The Opportunity
Fredericton, NB
In-person
Science and Research
Experienced
Full-time
$66,858 - $91,120 / year
Competition Number: 100-26.27
Benefits
Health Insurance
Dental Insurance
Paid Time Off
Pension plan
Life Insurance
Disability Insurance
Employee Assistance Program
Tuition Aid
Closing Date: November 26, 2026 at 4:00 PM
DataNB
At DataNB, we offer a creative, dynamic, and meaningful work environment where all team members are valued. We inform effective practices, programs, and policies in New Brunswick and beyond through collaboration, monitoring, robust evaluations, and knowledge transfer. We are engaged in a wide variety of research/evaluation projects in health, education, and other social sciences sectors.
What We Offer
Full-time | 1 Year Term | Fredericton | On-Campus
Standard Work Hours: Mon - Fri | 8:15 am - 4:30 pm | 36.25 hours per week
Salary Range: $66,858- $91,120 per annum
YOUR FOCUS
Reporting to the Research Manager, the Data Analyst supports researchers in all aspects of a research project. This includes navigating project data sets and determining data quality, selecting appropriate data elements from DataNB platform for project objectives, assembling data access requests, conducting and interpreting data analyses, and contributing to writing final reports. The Data Analyst also completes data validation and documentation to ensure the accuracy of DataNB's data holdings.
The Opportunity
Fredericton, NB
In-person
Science and Research
Experienced
Full-time
$66,858 - $91,120 / year
Competition Number: 100-26.27
Benefits
Health Insurance
Dental Insurance
Paid Time Off
Pension plan
Life Insurance
Disability Insurance
Employee Assistance Program
Tuition Aid
Closing Date: November 26, 2026 at 4:00 PM
DataNB
At DataNB, we offer a creative, dynamic, and meaningful work environment where all team members are valued. We inform effective practices, programs, and policies in New Brunswick and beyond through collaboration, monitoring, robust evaluations, and knowledge transfer. We are engaged in a wide variety of research/evaluation projects in health, education, and other social sciences sectors.
What We Offer
Full-time | 1 Year Term | Fredericton | On-Campus
Standard Work Hours: Mon - Fri | 8:15 am - 4:30 pm | 36.25 hours per week
Salary Range: $66,858- $91,120 per annum
YOUR FOCUS
Reporting to the Research Manager, the Data Analyst supports researchers in all aspects of a research project. This includes navigating project data sets and determining data quality, selecting appropriate data elements from DataNB platform for project objectives, assembling data access requests, conducting and interpreting data analyses, and contributing to writing final reports. The Data Analyst also completes data validation and documentation to ensure the accuracy of DataNB's data holdings.
- Prepare analytic data sets. Conduct and interpret data analyses using population-based administrative, clinical registry, and survey data.
- Assist researchers in the development of study protocols, data measures, data creation plans, and analytic plans. Provide guidance to research assistants.
- Assist researchers in the preparation of forms required for access to DataNB's data.
- Provide research support to users in the DataNB's lab.
- Output, interpret, and communicate statistical results verbally and in writing.
- Contribute to writing research reports and scientific manuscripts for academic publication.
- Clean, manage, and analyze large provincial administrative databases.
- Identify and advise on data limitations. Collaborate on solutions to overcome those limitations.
- Complete data stewardship functions, including data validation to ensure its accuracy.
- Create and update reference guides for data sets.
- Provide counsel on accurate analytical estimates for data analysis quotes
- Participate in the planning, development, and implementation of new research initiatives.
- Assist GNB departments and external agencies in preparing data sets to move to DataNB's repository.
- A master's degree in Economics or a related field.
- 3-5 years' experience in manipulating large complex data sets and applying statistical methods and principles to services research.
- Experience with administrative data such as student records, immigration data, health care registries, or related databases, and with survey data.
- Well-developed conceptual and analytical skills. Strong knowledge of descriptive statistics, statistical inference, survival analysis, and advanced statistical modelling.
- Ability to clearly and concisely communicate complex data findings to both technical and non-technical audiences. Attention to detail in grammar, structure, and clarity to ensure professional and accessible reporting.
- Proven experience preparing high-quality research papers and/or analytical reports. Skilled in translating quantitative analysis into actionable narratives and well-structured written deliverables.
- Excellent knowledge of statistical software (SAS, STATA, R, MATLAB) and Microsoft Office.
More about this job
Responsibilities
Prepare, clean, manage, validate, and analyze large administrative, clinical registry, and survey datasets, while advising researchers on data quality, limitations, study design, and analytical plans. Communicate statistical findings and contribute to research reports and scientific manuscripts, while supporting data stewardship and access to DataNB data.
Requirements
A master's degree in Economics or a related field and 3–5 years of experience manipulating complex datasets and applying statistical methods to services research are required. Candidates should have strong statistical and analytical skills, experience with administrative and survey data, excellent written and verbal communication, and knowledge of statistical software such as SAS, STATA, R, or MATLAB.
Skills
- Data Analysis
- Statistical Analysis
- Data Management
- Data Validation
- Administrative Data
- Survey Data
- Descriptive Statistics
- Statistical Inference
- Survival Analysis
- Statistical Modeling
- Research Protocol Development
- Data Quality Assessment
- Research Reporting
- Scientific Writing
- SAS
- STATA
Benefits
- Health Insurance
- Dental Insurance
- Paid Time Off
- Pension Plan
- Life Insurance
- Disability Insurance
- Employee Assistance Program
- Tuition Aid
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Science & Research
- Education
Keywords
- Data Analysis
- DataNB
- Administrative Data
- Clinical Registry Data
- Survey Data
- Population-Based Research
- Data Quality
- Data Validation
- Data Stewardship
- Data Access Requests
- Data Cleaning
- Data Management
- Descriptive Statistics
- Statistical Inference
- Survival Analysis
- Advanced Statistical Modeling
- Study Protocols
- Data Measures
- Analytic Plans
- Research Evaluation
- Services Research
- Research Reports
- Scientific Manuscripts
- SAS
- STATA
- R
- MATLAB
- Microsoft Office