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Data Analyst Jobs in Alberta (NOW HIRING)

We are seeking a skilled Contract Data Analyst to join our Analytics team in Calgary for an 18-month term. Reporting to the Team Lead, Analytics, you will work closely with internal stakeholders and ...

Job Summary The Financial Data Analyst plays a key role in supporting financial and operational decision-making by developing reporting solutions, analyzing data, and improving reporting processes ...

As a Business & Data Analyst, responsibilities include: * Business Analysis * Elicit, analyze, and document business requirements. * Translate requirements into clear, testable system requirements.

Data Analysis * Use SQL and other data analysis techniques to query databases, investigate data issues, validate business processes, identify trends, and support decision-making. * Develop and ...

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 ...

Quality control of year-end data input and verification of program output, including Annual Benefit ... Strong analytical, mathematical, and problem-solving skills. * Proficient working knowledge of ...

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Data Analyst information

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$12

$34

$59

How much do data analyst jobs pay per hour?

As of Sep 10, 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 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.

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 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.

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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

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

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:

Infographic showing various 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, with an average salary of $71,034 per year, or $34.2 per hour.

Data Analyst

Fort Mcmurray, AB

CA$480/wk

Full-time

Posted 4 days ago


Job description

Requisition ID: 4561
Affiliation: CUPE Municipal
Position Type: Permanent Full Time
Number of Openings: 2
Bi-weekly Working Hours: 70 hours bi-weekly
Shift/Work Schedule: Monday - Friday 
Department/ Branch: Planning & Development Services, Customer Experience
Job Location: Fort McMurray
Pay Level: PL12
Start Rate: $ 51.46
Permanent Rate: $ 60.55 (Permanent rate effective after completion of probation)
COLA: Bi-Weekly - $480
Posted (dd/mm/yyyy): 05/09/2026
Closing Date (dd/mm/yyyy): 20/09/2026
Posting Type: Internal and External

We strive to make our hiring process accessible to all candidates. If you require accommodation for the interview or any other part of the application process, please let us know.

ABOUT THE DEPARTMENT:

 

The Regional Municipality of Wood Buffalo (RMWB) is one of Canada's most unique and fast-evolving regions - a place where innovative thinking meets real-world impact. Our Planning and Development Division shapes where we live, work and play.

Planning & Development at RMWB is more than policies and plans, it's about creating vibrant, inclusive and sustainable communities. Join a collaborative team that leads long-term strategy, supports development initiatives, and partners with residents and community partners to build our shared future.

If you're passionate about smart growth and public service, this is your opportunity to make your mark.

 

 

GENERAL DESCRIPTION:

Under general supervision, the Data Analyst supports Planning and Development Services in all data extraction, transformation, and analysis functions for the department. The incumbent extracts, transforms, structures, and analyzes data on all Planning and Development Services key performance indicators (KPIs) and overall metrics to provide insight into permitting and licensing activities in the Municipality. This position also researches, analyzes, and reports on the Municipality's economic and demographic trends using municipal and third-party data to inform various municipal projects and statutory plans.

RESPONSIBILITIES:

  • Prepares and releases scheduled or ad-hoc reports on Planning and Development Services activities by extracting, transforming, and analyzing permit and licensing data.
  • Supports Planning and Development Services department with strategies and process enhancements to reduce data input errors in the Accela permitting database.
  • Processes and responds to internal and external stakeholder Planning and Development Services data and analysis requests.
  • Supports department with data extraction and transformation from the Accela permitting database.
  • Uses statistical and data visualization tools to implement and maintain an interactive dashboard that provides real-time information and interprets data on permitting and licensing activities in the Municipality.
  • Works with Planning and Development Services to support all Accela functionality improvement efforts through best practice research.
  • Creates documentation that allows stakeholders to understand the steps of the data analysis process.
  • Analyzes municipal-specific primary and secondary demographic and socio-economic data to generate insight into population trends in the Municipality.
  • Supports all infield data collection analysis and reporting during the Municipal census.
  • Other related duties as required.

 

QUALIFICATIONS

 

KNOWLEDGE, SKILLS, AND ABILITIES:

 

  • Ability to work independently or in a team and establish and maintain cooperative, collaborative, and productive work relationships.
  • Strong written, verbal, and interpersonal communication skills, with the ability to elicit cooperation from a wide variety of sources.
  • Exceptional research and reporting skills, with the ability to analyze information from a variety of sources and accurately present in a concise manner.
  • High degree of precision and accuracy in data entry, documentation, and investigative procedures.
  • Ability to learn, understand, and apply new technologies in data science and analytics.
  • Strong analytic and problem-solving abilities.
  • Proficiency in computer technology, as it relates to data science and analytics, particularly in the use of spreadsheets, databases, presentation, and data visualization tools (SQL, R, Python, Tableau, Microsoft Power BI, etc.).

EDUCATION AND EXPERIENCE:

  • Degree in Geography, Economics, Computer Science, Statistics, Data Science, Engineering, or other related field is required.
  • Three (3) years of experience in data analysis and research, Geographic Information Systems (GIS), or data science is required.
  • Experience with GIS tools such as ArcMap 10.8 or ArcGIS Pro is an asset.
  • Experience in policy analysis and project management is an asset.
  • Experience working with third-party data sources such as Statistics Canada is an asset.

 

 

OTHER REQUIREMENTS:

  • Submission of a Criminal Record Check.
  • Pre-employment testing may be required as part of the interview process.

SAFETY:

As an employee of the Regional Municipality of Wood Buffalo, the incumbent is responsible for understanding and actively participating in the RMWB's health and safety management system, including all policies, practices, procedures, as well as properly utilizing all control measures including the required use of personal protective equipment. All employees must take reasonable care to protect the health and safety of themselves and others, as well as immediately report any concerns, near misses, incidents, and hazardous conditions to their supervisor.

To apply: Please visit our website at jobs.rmwb.ca
Current employees must apply through the internal careers site. 
We appreciate the interest of all applicants; however, only those individuals
selected for interviews will be contacted.  Late applications will not be accepted.