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Weekend Data Analyst Jobs in Calgary, AB (NOW HIRING)

Strathcona Resources Ltd

Data Analyst

Calgary, AB · On-site

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 ...

Hexagon

Business & Data Analyst

Calgary, AB · Hybrid

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

Hexagon

Business & Data Analyst

Calgary, AB · Hybrid

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 ...

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 ...

Data Elephant Inc

Business Analyst

Calgary, AB · On-site

Data Elephant is one of Canada's leading Data, Analytics & AI consulting firms, helping organizations modernize their data platforms, unlock business value from data, and accelerate AI adoption. We ...

ALS

Laboratory Analyst

Calgary, AB · On-site

CA$25.09/hr

Data entry into LIMS; * Prepare calibration and quality control standards, duplicate and spike ... weekends. Our Benefits Include: * An estimated hourly pay of $25.09 CAD at the time of posting.

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Weekend Data Analyst information

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How much do weekend data analyst jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for weekend data analyst in Calgary, AB 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 a weekend data analyst?

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.

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.

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.

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.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.
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What are the most commonly searched types of Data Analyst jobs in Calgary, AB?

The most popular types of Data Analyst jobs in Calgary, AB are:

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For Weekend Data Analyst jobs in Calgary, AB, the most frequently searched job titles are:

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The top searched job categories for Weekend Data Analyst jobs in Calgary, AB are:

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $58,650 per year, or $28.2 per hour.

Data Analyst

Calgary, AB • On-site

Strathcona Resources Ltd
See more jobs at Strathcona Resources Ltdexternal

Full-time

Re-posted 9 days ago

Job description

Headquartered in Calgary, Alberta, Strathcona Resources Ltd. is one of North America's fastest growing pure play heavy oil producers with operations focused on thermal oil and enhanced oil recovery near the Cold Lake and Lloydminster regions of Alberta and Saskatchewan.

Strathcona is committed to doing business the right way, guided by our core values: Integrity, Energy, and Intelligence. These values define who we are as a company, how we work together, and how we make decisions: We prioritize respect, accountability, and collaboration. That means everyone can shape and strengthen our culture and drive results in meaningful ways. Our people bring energy and curiosity to solve problems and deliver results. Be part of a team where performance, collaboration, and innovation come together to drive success.

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 our analytics team to deliver high-quality, consistent, and scalable data products across multiple platforms. The ideal candidate brings strong technical expertise in Databricks and Tableau, paired with a solid understanding of upstream and corporate oil and gas data.

Responsibilities:

  • Design, build, and maintain Tableau dashboards and other data products to support business needs across various teams, ensuring established best practices and data governance

  • Partner with business stakeholders to understand requirements, translate them into effective visual analytics, and iterate based on feedback

  • Collaborate closely with internal data and analytics team members to ensure consistency, scalability, and maintainability of solutions

  • Support dashboard testing, validation, documentation, and knowledge transfer as required

  • Determine appropriate joins, transformations, and cleaning steps required to prepare raw data for analytics use cases

Qualifications:

  • Strong working knowledge of Databricks, or other data lake platforms, including querying and working with curated and raw datasets

  • Experience working with enterprise data across multiple functional domains

  • Proven experience developing dashboards in Tableau

  • Experience designing solutions for spreadsheet inputs and writeback or feedback loops within reporting workflows

  • Oil and gas industry experience; experience with Maximo or similar enterprise asset/work management systems is considered an asset.

  • Experience working within governed analytics environments and following established BI standards

  • Experience supporting self-service analytics initiatives

  • Understanding of data lake concepts

  • Demonstrated ability to work with raw data, assess data quality, and independently determine how to join and clean datasets

Great things aren't done by one person, they're done by a team.

We believe meaningful results come from people with unwavering commitment to integrity, energy, and intelligence - how we show up matters just as much as what we deliver. We value our work, our communities, and our commitments - but most of all, we value the team of people who make what we do possible.

Apply to Strathcona

If you have what it takes to be a great Strathcona team member, we want to hear from you. We appreciate all interest in this opportunity but only those selected to advance through the process will be contacted.

Apply