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Data Analysis 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 ...

SaskPower

Manager, Data & Analytics

Regina, SK

The Manager, Data & Analytics is responsible for leading the organization's data and analytics capabilities, enabling data-driven decision-making across the enterprise. This role provides leadership ...

SaskPower

Manager, Data & Analytics

Regina, SK · On-site

The Manager, Data & Analytics is responsible for leading the organization's data and analytics capabilities, enabling data-driven decision-making across the enterprise. This role provides leadership ...

Farm Credit Canada

... analysis to deliver solutions that enable organizational change, working in FCC's modern AWS data ... environment. As a Data Product Analyst, you'll collaborate with domain partners and Agile teams to ...

Conexus Credit Union

Data Scientist

Regina, SK

CA$86K - CA$123K/yr

The bigger picture We're looking for an analytical, impact-driven problem solver to come on board as our Data Scientist at our College Avenue location in Regina, Saskatchewan. In this role, you are ...

Conexus Credit Union

Data Scientist

Regina, SK

CA$86K - CA$123K/yr

The bigger picture We're looking for an analytical, impact-driven problem solver to come on board as our Data Scientist at our College Avenue location in Regina, Saskatchewan. In this role, you are ...

Conexus Credit Union

Data Engineer

Regina, SK

CA$93K - CA$134K/yr

Working in close partnership with business teams and Data & Analytics peers, you'll translate business needs into practical, scalable solutions and deliver high-quality data foundations that power ...

Conexus Credit Union

Data Engineer

Regina, SK

CA$93K - CA$134K/yr

Working in close partnership with business teams and Data & Analytics peers, you'll translate business needs into practical, scalable solutions and deliver high-quality data foundations that power ...

Brandt

Data Architect

Regina, SK

PowerBI & Analytics Integration: Architect the data models that feed PowerBI, enabling the creation of interactive, high-performance dashboards that provide actionable insights to stakeholders. #LI ...

KPMG

Senior Manager, Root Cause Analysis

Regina, SK · On-site

Utilize a variety of data collection techniques including interviews, documentation review, focus groups and surveys and perform data analysis. Work closely in coordination with other team members ...

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All JobsData Analysis JobsData Analysis Jobs in Saskatchewan

Data Analysis information

See Saskatchewan salary details

$13

$27

$50

How much do data analysis jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data analysis in Saskatchewan is $27.12, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $32.93 per hour, depending on experience, location, and employer.

Will AI replace data analysts?

AI is transforming data analysis by automating routine tasks such as data cleaning and basic reporting, but it does not fully replace data analysts. Analysts are needed to interpret complex data, develop insights, and make strategic decisions that require domain knowledge and critical thinking. Therefore, data analysts will continue to play a vital role alongside AI tools in data-driven organizations.

What is the difference between Data Analysis vs Data Analysis?

AspectData AnalysisData Analysis
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel, SQL, or TableauBachelor's degree in related field, certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentOffice settings, remote work, data-driven teamsOffice settings, remote work, data-driven teams
Industry UsageFinance, marketing, healthcare, techFinance, marketing, healthcare, tech
Common Search/ComparisonData AnalysisData Analysis

Data Analysis involves examining data sets to uncover trends and insights, often using tools like Excel, SQL, or Tableau. It is a fundamental role across industries such as finance, healthcare, and marketing. The term is broad and often used interchangeably with related roles, but it primarily focuses on interpreting data to support decision-making.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to support decision-making, often using tools like Excel, SQL, and visualization software, and may work across industries including finance, healthcare, marketing, and technology.

What are some common challenges data analysts face when working with cross-functional teams?

Data analysts often collaborate with cross-functional teams such as marketing, engineering, and finance, which can present challenges in aligning on goals and ensuring clear communication. Differences in technical expertise and priorities may require analysts to translate complex data findings into actionable insights for non-technical stakeholders. Building strong relationships and proactively clarifying project objectives can help overcome these challenges and lead to more impactful analysis.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as Excel, SQL, and data visualization tools like Tableau or Power BI. However, mastering advanced techniques or gaining extensive experience typically requires longer, and success depends on prior background, dedication, and access to practical projects.

What is data analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves using statistical and logical techniques to interpret raw data and identify patterns or trends. Data analysts often use specialized software and tools to visualize and report their findings, helping organizations make data-driven decisions.

What does a data analyst do exactly?

A data analyst collects, processes, and interprets large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to analyze data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong statistical knowledge, data manipulation skills, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst. Critical thinking, attention to detail, and clear communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for extracting meaningful patterns from data, driving business decisions, and ensuring data-driven strategies.
What are the most commonly searched types of Data Analysis jobs in Saskatchewan? The most popular types of Data Analysis jobs in Saskatchewan are:
Data Analysis jobs near you
Infographic showing various Data Analysis job openings in Saskatchewan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $56,407 per year, or $27.1 per hour.
Data & BI Analyst

Data & BI Analyst

Align Technology, Inc.

Full-time

Posted 7 days ago

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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