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Data Analyst Jobs in Alberta (NOW HIRING)

Alquemy

Data Analyst

Edmonton, AB · On-site

Data Analyst Position Overview We are seeking a Data Analyst to support enterprise data governance, reporting, and analytics by building reliable datasets, improving data quality, and developing ...

Bird Construction

Senior Data Analyst

Edmonton, AB · Hybrid

Senior Data Analyst Reporting to the Manager, Business Intelligence & Analytics, the Senior Data Analyst will have a deep understanding of Data, AI, and Analytics solutions. You will be responsible ...

Bird Construction

Senior Data Analyst

Calgary, AB · Hybrid

Senior Data Analyst Reporting to the Manager, Business Intelligence & Analytics, the Senior Data Analyst will have a deep understanding of Data, AI, and Analytics solutions. You will be responsible ...

Capital Power

Sr. Analyst, Market Data

Calgary, AB

The Sr. Analyst, Market Data owns Capital Power's end-to-end price curve framework within the Risk Group. The role is accountable for the quality, integrity, and governance of all priceand market ...

WinSport

HRIS & Data Analyst

Calgary, AB

This role ensures the integrity and accuracy of all HR data, develops and maintains system configurations, and delivers reporting and analytics to support informed HR and business decision-making.

JLL

Senior Maintenance Manager

Calgary, AB

Proficient data analyst and new processes developer/adapter. * Self-starter. Strong evidence of driving goals with minimal day-to-day supervision. * Experienced in material handling equipment and ...

All JobsData Analyst JobsData Analyst Jobs in Alberta

Data Analyst information

See Alberta salary details

$12

$34

$59

How much do data analyst jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for data analyst in Alberta is $34.15, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $40.87 per hour, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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 analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Alberta? The most popular types of Data Analyst jobs in Alberta are:
What are popular job titles related to Data Analyst jobs in Alberta? For Data Analyst jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Alberta look for? The top searched job categories for Data Analyst jobs in Alberta are:
What cities in Alberta are hiring for Data Analyst jobs? Cities in Alberta with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Alberta as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 85% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $71,034 per year, or $34.2 per hour.

Data Analyst

Alquemy

Edmonton, AB • On-site

Other

Posted 16 days ago

Job description

Job Description Job Title: Data Analyst Position Overview We are seeking a Data Analyst to support enterprise data governance, reporting, and analytics by building reliable datasets, improving data quality, and developing solutions that enable informed business decisions. Key Responsibilities Analyze, validate, and structure data from multiple sources. Identify data gaps and support data governance initiatives.

Build and maintain SharePoint-based data solutions and workflows. Develop reports, dashboards, and datasets for operational and financial analysis. Collaborate with stakeholders to define data requirements and improve data quality.

Required Qualifications Experience in data analysis, data management, or business analytics. Strong skills in data validation, reporting, and data transformation. Experience with SharePoint and Power Automate.

Strong analytical, problem-solving, and stakeholder communication skills. Preferred Qualifications Experience with technology governance, CMDB, or ServiceNow. Experience in enterprise or regulated environments.

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