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Research Data Analyst Jobs in Alberta (NOW HIRING)

Sapsol Technologies Inc

Project Analyst

Calgary, AB

Analyze potential risks and assist with the development of risk management recommendations ... research, data gathering techniques, and teamwork with a special emphasis on teams is required to ...

Mount Royal University

Data Engineer

Calgary, AB · On-site

About the Department The Office of Institutional Research and Planning (OIRP) has primary responsibility for institutional strategic planning, surveying and institutional data analysis at Mount Royal.

destinationone Consulting

We are proactively building a data bank for opportunities in these fields. By applying, you ensure ... Conduct research on public health issues and policies. Present findings to policymakers and ...

MNP

Analyst, Valuations

Edmonton, AB

Financial Data Analysis: Interpret and analyze financial and non-financial information to identify ... Research and Evaluation: Conduct industry, economic, company and market research tailored to the ...

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Research Data Analyst information

What is a research data analyst?

A Research Data Analyst is a professional who collects, processes, and analyzes data to support research projects across various fields, such as healthcare, social sciences, or business. They use statistical tools and programming languages to interpret complex data sets and help researchers draw meaningful conclusions. Their responsibilities often include data cleaning, statistical analysis, and visualization of results for reports or publications. Research Data Analysts play a crucial role in ensuring the quality and integrity of the data used in research studies.

What are the key skills and qualifications needed to thrive as a research data analyst, and why are they important?

To excel as a Research Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with statistical software (e.g., R, SAS, SPSS), data visualization tools (like Tableau or Power BI), and programming languages (such as Python) is typically required. Attention to detail, critical thinking, and the ability to clearly communicate complex findings are crucial soft skills. These competencies ensure accurate data interpretation, effective collaboration with research teams, and impactful decision-making based on reliable insights.

What are some common challenges research data analysts face when working with large datasets, and how are they addressed?

Research Data Analysts often encounter challenges such as data inconsistencies, missing values, and integrating data from multiple sources when working with large datasets. Addressing these challenges typically involves implementing rigorous data cleaning protocols, utilizing statistical software for data validation, and collaborating closely with research teams to understand the context behind the data. Analysts may also create documentation and standardized procedures to streamline future data processing and ensure data integrity. Staying updated with best practices in data management can help mitigate many of these issues.

What is the difference between Research Data Analyst vs Data Scientist?

AspectResearch Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; often certifications in data toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or training
Work EnvironmentResearch institutions, universities, or corporate research divisionsTech companies, finance, healthcare, or any industry leveraging big data
Employer & Industry UsageAcademic, government, and research organizationsPrivate sector, startups, and large corporations

Research Data Analysts focus on analyzing data to support research projects, often working within academic or research settings. Data Scientists have a broader scope, including building predictive models and advanced analytics across various industries. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and work on complex data modeling tasks.

What are popular job titles related to Research Data Analyst jobs in Alberta?

For Research Data Analyst jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Research Data Analyst jobs in Alberta look for?

The top searched job categories for Research Data Analyst jobs in Alberta are:

Research Data Analyst jobs near you
Infographic showing various Research Data Analyst job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Senior Data & Reporting Analyst

Calgary, AB • On-site, Remote

Alberta Health Services
Hospitals • 10K+ employees
Learn more about Alberta Health Servicesexternal

CA$31.64 - CA$54.36/hr

Full-time

Posted 4 days ago

Job description

Your Opportunity:

The Contract Performance Monitoring Office (CPMO) works to ensure Albertans receive the right health care services, at the right time, in the right place, provided by the right health care providers and teams. This is achieved by supporting Provincial Health Agencies and Provincial Health Corporations by monitoring contractor compliance with the terms and conditions of their service agreement(s). The Senior Data & Reporting Analyst plays a crucial role in the CPMO by gathering information from various sources and transforming raw data into meaningful insights thereby helping the division make informed decisions. Focusing on report design and visualization, coupled with extensive experience in statistics and data analysis, the Senior Data and Reporting Analyst will show their expertise in transforming data into information. They will also support the development of business intelligence systems to store reporting data through their familiarity with business analysis and data warehousing concepts and tools.

Description:

Creating Reports and Visualizations: Uses business intelligence (BI) tools and software (in particular Tableau and Tableau Prep) to plan, design, build, and implement unique reports and data visualizations for contracted service industries. Data Analysis and Interpretation: Uses raw data to create reports for management teams. Pulls data from various sources, organizes and analyzes it, and identifies trends, inconsistencies, and areas for improvement. Data Integrity Auditing: Performs regular audits to ensure the accuracy, consistency, security, and quality of data across platforms and databases. Advisory: Uses expertise and recommendations to guide the design and data structure for automated reporting systems and tools. Identifies areas of opportunity / enhancements for current data gathering, data modeling, data management, data storage, and reporting processes. Makes recommendations for automation functions to streamline manual processes. Participates in process improvement activities, identifies current and future requirements for continual improvement. Planning & Development: Collaborates with stakeholders to design, develop, implement and continuously improve the existing contracted service provider performance management program to provide consistent and effective service excellence to stakeholders and end users and contracted service providers.

  • Transition Company: Health Shared Services
  • Classification: Advisor
  • Union: Exempt
  • Unit and Program: Contracting, Procurement and Supply Management
  • Primary Location: East Lake Centre
  • Location Details: Eligible to work remotely within Alberta
  • Employee Class: Regular Full Time
  • FTE: 1.00
  • Posting End Date: 28-AUG-2026
  • Date Available: 08-SEP-2026
  • Hours per Shift: 7.75
  • Length of Shift in weeks: 2
  • Shifts per cycle: 10
  • Shift Pattern: Days
  • Days Off: Saturday/Sunday
  • Minimum Salary: $31.64
  • Maximum Salary: $54.36
  • Vehicle Requirement: Not Applicable
Required Qualifications:

A degree in one or more of the following: Information Technology, Information Systems, Computer Sciences, or a related field (statistics, math, engineering). Extensive experience with Tableau and/or Power BI. Proven experience in designing and implementing dashboards using data visualization tools. Proven experience with data administration, automation, and data management. Solid understanding of basic programming languages. In-depth knowledge of data management software, data operations, and analytical tools.


Additional Required Qualifications:

Exceptional data analysis and research skills. Strong communication and teamwork skills. Attention to detail and the ability to maintain data accuracy. Excellent organizational skills. Continuous learning through workshops or seminars on the latest data management practices is common, ensuring Senior Data & Reporting Analysts stay updated on industry standards and technologies.


Preferred Qualifications:

As Required.

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