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Weekend Data Analyst Jobs in Alberta (NOW HIRING)

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Property Analyst

Calgary, AB · On-site

Data Analysis and Reporting: * Collecting, organizing, and auditing data from systems like Yardi ... and weekend work. Compensation * A competitive salary * Potential performance bonus: Up to 5% * ...

Onward Homes

Property Analyst

Calgary, AB

Data Analysis and Reporting: * Collecting, organizing, and auditing data from systems like Yardi ... and weekend work. Compensation * A competitive salary * Potential performance bonus: Up to 5% * ...

SAIT

HR Business Analyst, Reporting & Analytics

Calgary, AB · Hybrid

CA$85K - CA$90K/yr

The role combines business analysis, process improvement, and data analysis, with a strong focus on optimizing HR systems, strengthening reporting and insights, and supporting continuous improvement ...

New

Aston Carter

Business Systems Analyst

Calgary, AB

CA$30.04/hr

The analyst ensures data quality, optimizes reporting processes, and provides actionable insights that enhance sales performance, operational efficiency, and retail execution. Responsibilities

PCL Construction

Business Systems Analyst

Edmonton, AB · On-site +1

Analyze data, identify trends and provide actionable insights to improve AI solution performance and user experience. * Promote best practices in data governance, quality assurance and continuous ...

City of Edmonton

Criminal Intelligence Analyst

Edmonton, AB · Hybrid

CA$3.3K - CA$4.2K/wk

Performing advanced functions in creating intelligence through data collection, collation, analysis ... The successful candidate may be required to work evenings and/or weekends to assist as required.

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All JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Alberta

Weekend Data Analyst information

See Alberta salary details

$9

$28

$62

How much do weekend data analyst jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for weekend data analyst in Alberta is $28.20, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $37.26 per hour, depending on experience, location, and employer.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

What are Weekend Data Analysts?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What Does a Weekend Data Analyst Do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and Excel, often through online courses or certifications, regardless of age.

Is a data analyst still in demand?

Data analysts are currently in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are valuable, and the role often offers flexible schedules including weekend shifts for certain organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

Do data analysts work on weekends?

Data analysts typically work during regular business hours, Monday through Friday, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Weekend work is more common in industries like finance, healthcare, or in roles involving real-time data monitoring. Flexibility depends on the employer and specific job responsibilities.

What does a typical weekend shift look like for a Weekend Data Analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.
More about Weekend 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 job categories do people searching Weekend Data Analyst jobs in Alberta look for? The top searched job categories for Weekend Data Analyst jobs in Alberta are:
What cities in Alberta are hiring for Weekend Data Analyst jobs? Cities in Alberta with the most Weekend Data Analyst job openings:
Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Alberta as of June 2026, with employment types broken down into 1% As Needed, 58% Full Time, 36% Part Time, 4% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $58,650 per year, or $28.2 per hour.

Systems Analyst II - Data Analysis and Migration

TELUS

Edmonton, AB

Other

Posted 13 days ago

TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 78 rated telecommunications companies

Job description

Description

Join our team

Do you thrive in a fast-paced, team centric environment? Are you a detailed-oriented individual who loves solving problems by leveraging creative solutions?  Do you want to be in a space where your knowledge and experience are used and fostered? Read on as this is the job for you!

As a key member of the TELUS Health team, you will be joining a growing team of Analysts in transforming and converting health data for Canadian physicians on a TELUS EMR (Electronic Medical Record) platform.  This exciting opportunity will allow you to leverage your experience and skillset within an innovative and collaborative environment while performing meaningful work that is crucial to the success of our TELUS Health EMR platforms.

Here's how

As part of the team, you'll be responsible for:

  • Extracting data from various source systems and data stores by performing light business coding (ex. Java, Python, C#, etc.)

  • Connecting with our customers to conduct requirement gathering and performing data validations

  • Mapping and transforming data using various techniques (ex. XSLT, MapForce, scripting, etc.) based on customer input and requirements

  • Performing ad-hoc queries (ex. SQL, LINQ, etc.) and reports to analyse customer data before and after migration

  • Planning and performing go-live transformation and  validation to ensure no data is lost or corrupted

  • Executing production data migrations (requires occasional evening/weekend work)

  • Collaboration with various teams across the business to identify roadblocks and resolve issues,  to ensure timely completion for each project

  • Contributing to on-going development and refinement of data migration tools and processes

  • Tracking issues, communicating project status, and managing project risk

What You Bring

Required Experience

  • Graduation from a post-secondary institution with a Diploma specializing in related technologies
  • 1 year minimum experience working on data transformation, development, or school related projects

Technical Knowledge

  • SQL/TSQL

  • Data Transformation Scripting and Mapping (ex. XML, XSL/XPath)

  • Familiarity with databases such as MSSQL, Oracle, MySQL, etc.

  • Scripting (ex. Python/Groovy) or development (ex. Java/C#)

  • Linux/Unix and Groovy an asset

  • MapForce an asset


Functional Skills

  • Detail oriented 

  • Avid problem solver

  • Ability to communicate both verbally and written in English, French is an asset

  • Ability to multi-task and manage numerous concurrent projects 

  • Strong analysis and problem solving skills with the ability to identify root cause 

  • Ability to communicate in an effective and respectful manner with customers and fellow team members 

  • Self-directed in completing project-based work

Great to Have

  • Agile & Project Management skills

  • Understanding of Network Infrastructure

  • Electronic Medical Records (EMR), Medical or clinical workflow experience

  • Experience with HL7, CoPD and CDS/CMS XML standards

  • Experience with the Atlassian tool suite (ex. Jira, Bitbucket, Confluence)

Apply