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Data Analysis Intern Jobs in Saskatchewan (NOW HIRING)

Align Technology, Inc.

Perform hands-on data analysis to support commercial and sales teams across EMEA b. Investigate trends, identify issues, and help answer ad-hoc business questions c. Support recurring reporting ...

HCI Lab

Experimenter

Madison, WI

This position will involve aiding the researchers in our lab with conducting studies, analyzing data, and facilitating lab work. Work may include but is not limited to following a protocol to run a ...

All JobsData Analysis Intern JobsData Analysis Intern Jobs in Saskatchewan

Data Analysis Intern information

See Saskatchewan salary details

$13

$23

$45

How much do data analysis intern jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data analysis intern in Saskatchewan is $23.75, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $27.40 per hour, depending on experience, location, and employer.

What are some common challenges faced by Data Analysis Interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What Do Data Analysis Interns Do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What does a Data Analysis Intern do?

A Data Analysis Intern assists in collecting, processing, and interpreting data to help organizations make informed decisions. They often use tools like Excel, SQL, or Python to analyze datasets, create visualizations, and generate reports. Interns work under the supervision of experienced data analysts or data scientists, learning to apply statistical techniques and solve real-world business problems. This role provides hands-on experience in data analytics and helps interns develop valuable technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Analysis Intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.
More about Data Analysis Intern jobs
What are the most commonly searched types of Data Analysis jobs in Saskatchewan? The most popular types of Data Analysis jobs in Saskatchewan are:
What job categories do people searching Data Analysis Intern jobs in Saskatchewan look for? The top searched job categories for Data Analysis Intern jobs in Saskatchewan are:
Data Analysis Intern jobs near you
Infographic showing various Data Analysis Intern job openings in Saskatchewan as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $49,401 per year, or $23.8 per hour.
Data & BI Analyst

Data & BI Analyst

Align Technology, Inc.

On-site

Full-time

Posted 18 days ago

Align Technology rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

We are looking for an enthusiastic and motivated BI & Data Analyst to join our EMEA Data & Analytics team.

This is a great opportunity for someone eager to learn, contribute hands-on, and grow within a collaborative and supportive environment. The role combines structured analytics work with day-to-day operational support, ensuring strong exposure across the full data lifecycle.

As a BI & Data Analyst, you will play a crucial role in extracting actionable insights from large datasets to drive informed business decisions, aiming to support the EMEA organization. Leveraging data and data visualization tools, you will contribute to the enhancement of business performance. The role involves collaborating with all members of the Data & Analytics team, supporting on operational and ad-hoc data requests as part of day-to-day business needs, interpreting complex data sets, and presenting findings in a clear and concise manner to support organizational goals.


1. Data Analysis & Business Support
a. Perform hands-on data analysis to support commercial and sales teams across EMEA
b. Investigate trends, identify issues, and help answer ad-hoc business questions
c. Support recurring reporting processes and ensure accuracy and timeliness

2. Reporting & Visualization
a. Build and maintain dashboards and reports (primarily in Power BI)
b. Translate business needs into clear, user-friendly data visualizations
c. Help improve existing reports and standardize KPIs

3. Data Preparation & Modeling
a. Write and optimize SQL queries to extract and transform data
b. Support development and maintenance of data models, dataflows, and semantic models
c. Contribute to ELT processes, ensuring efficient data transformation and integration

4. Automation & Process Optimization
a. Manage and maintain existing Power Automate flows to support business processes
b. Design and implement new automated workflows to improve efficiency and reduce manual effort

5. Team Collaboration
a. Work closely with senior analysts and stakeholders to deliver insights
b. Support ongoing projects and gradually take ownership of smaller initiatives
c. Learn from experienced team members and contribute to knowledge sharing

6. Continuous Learning & Improvement
a. Develop your technical and business skills with support from the team
b. Contribute ideas to improve reporting, processes, and data quality
c. Stay curious and proactive in understanding the business context

  • Bachelor's or Master's degree in a relevant field such as Statistics, Mathematics, Computer Science, or a related discipline.
  • Minimum 2-5 years of experience in BI, data analysis, or a related role. We are open to strong junior candidates with the right mindset.
  • Mandatory strong experience with data visualization tools such as Tableau or Power BI. Microsoft Power BI Certification would be a strong plus.
  • Advanced proficiency in Microsoft Excel, including complex formulas (e.g. INDEX/MATCH, SUMIFS), pivot tables, and automation using Power Query, Power Pivot, and macros (VBA) to streamline data processing, reporting, and repetitive tasks.
  • Proficiency in SQL, Python, R, or other programming languages commonly used in data analysis, with exposure to data modeling. Exposure to data modeling, statistical methods, and machine learning techniques.
  • Experience managing semantic models, dataflows, and supporting ELT processes.
  • Experience working with Power Automate, including maintaining existing flows and building new workflows.
  • Strong Excel skills (e.g., advanced formulas, data manipulation, analytical modeling).
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Excellent communication and presentation skills. Fluent in English is mandatory, with the ability to communicate effectively at all levels of the organization.

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