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

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 ...

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 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 ...

Experience working with data, including reporting, analysis, and basic querying (e.g., SQL). * Certified Business Analyst Professional (CBAP) or related Business Analyst certification. Not sure if ...

Experience working with data, including reporting, analysis, and basic querying (e.g., SQL). * Certified Business Analyst Professional (CBAP) or related Business Analyst certification. Not sure if ...

Business Analyst

AB

CA$80K - CA$100K/yr

Dick's Lumber is hiring for Business Analyst. We offer an exceptional working environment on a ... Experience working with Apache Airflow, Data pipeline and Data warehousing is a must. * Experience ...

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Weekend Data Analyst information

See Calgary, AB salary details

$9

$28

$62

How much do weekend data analyst jobs pay per hour?

As of Jul 17, 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 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 analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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 on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain 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 highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

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 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:
What job categories do people searching Weekend Data Analyst jobs in Calgary, AB look for? The top searched job categories for Weekend Data Analyst jobs in Calgary, AB are:
Infographic showing various Weekend Data Analyst job openings in Calgary, AB as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $58,650 per year, or $28.2 per hour.
Senior Data Analyst

Senior Data Analyst

Bird Construction

Calgary, AB • Hybrid

Full-time

Posted 25 days ago


Job description

Senior Data AnalystReporting 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 for designing, developing, and delivering effective storytelling solutions using Power BI and Bird's modern analytics platform.
We are seeking an individual who is proactive, curious, and driven-someone who understands not just how to build dashboards, but how to enable a culture of data analytics.
This role is ideal for an individual with a strong sense of the big picture: how data governance, storytelling, tools, and people come together to enable better decisions. You will play a key role in advancing Bird's analytics maturity by delivering trusted insights, promoting effective data storytelling, and contributing to the Data & AI Center of Excellence (CoE) through standards, enablement, and data fluency.
The ideal candidate is comfortable navigating complexity, managing multiple priorities, and working across both Agile and Waterfall delivery models-partnering effectively with business, engineering, and leadership teams.
This position follows a hybrid work model with regular in office presence.What You Will Be Working On
  • Design, develop, and deliver highquality analytics solutions using Power BI, ensuring accuracy, reliability, and consistency of data and metrics.
  • Apply effective data storytelling principles to transform complex information into clear, compelling, and decisionready insights.
  • Partner with stakeholders to understand business context, ask the right questions, and translate analytical needs into meaningful dashboards and reports.
  • Contribute to the evolution of the Data & AI Center of Excellence (CoE), helping shape standards, best practices, templates, and shared ways of working.
  • Promote data governance concepts by reinforcing trusted metrics, clear definitions, consistent logic, and proper documentation.
  • Support and advance data fluency and literacy across the organization by helping stakeholders better interpret, question, and use analytics effectively.
  • Perform analytical investigations and rootcause analysis to explain trends, variances, and anomalies in business performance.
  • Collaborate with Data Engineering and IT teams to ensure analytics solutions align with data Lakehouse architecture and enterprise platforms.
  • Demonstrate a strong understanding of Data Lakehouse concepts, with exposure to tools such as Databricks, Microsoft Fabric, or Microsoft Synapse Analytics, sufficient to collaborate effectively with engineering teams.
  • Navigate and contribute within both Agile and Waterfall project environments, adapting communication and delivery style as needed.
  • Manage multiple priorities simultaneously while maintaining quality, structure, and stakeholder confidence.
  • Maintain strong, proactive communication with stakeholders and contribute to successful project outcomes.
  • Stay current with analytics trends and Microsoft's analytics ecosystem (Power BI, Lakehouse platforms, and related technologies), applying learnings pragmatically.
What We Are Looking For
  • Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field.
  • 5+ years of experience in a Senior Data Analyst or Business Intelligence role.
  • Strong handson experience with Power BI, with an emphasis on insight, clarity, and usability rather than just visual complexity.
  • A proactive, selfdriven mindset - comfortable taking ownership, identifying gaps, and helping move analytics forward.
  • Demonstrated understanding of what building a datadriven culture actually means, beyond tools alone.
  • Experience contributing to or working within a Center of Excellence-style model for Data, AI, Analytics, or BI.
  • Solid grasp of data governance fundamentals, including trusted metrics, standard definitions, and consistency of logic.
  • Strong communication and organizational skills, with the ability to work effectively across both technical and nontechnical audiences.
  • Experience working in both Agile and Waterfall delivery environments.
  • Ability to manage competing priorities with structure, judgment, and professionalism.
  • General understanding of the Microsoft Power Platform (Power Apps / Power Automate) without requiring deep specialization.

Preferred Qualifications:

  • Experience delivering insights from structured, semistructured, and unstructured data sources.
  • Working knowledge of SQL and structured data querying.
  • Familiarity with modern data lakehouse architectures and exposure to platforms such as Databricks, Microsoft Fabric, or Synapse Analytics.
  • Power BI or relevant Microsoft analytics certification.
  • Experience enabling or mentoring others through data education, documentation, or informal
For Those Who Seek to Redefine

The greatest achievements in history are borne from the greatness within people - where human potential meets vision, and passion fuels evolution. Unlocking this potential is the most important thing we do at Bird.

As a leader in Canadian construction for over 100 years, the impact of our team is etched deeply within the core of our legacy. Beyond Bird, this impact is felt in the fundamental aspects of our everyday lives. From the critical infrastructure we depend on, to the energy and resources that keep us moving - we are powering our communities and shaping Canada's skylines coast-to-coast-to-coast. Entrenched in the foundation of a culture built more than a century ago is an enduring quest to reimagine what is possible. Our impact is greater than ever, and we are looking for those who seek to redefine their story.

What We Believe InWe Put Safety First

A healthy and safe work environment is non-negotiable. We build a culture of operational and psychological safety through engagement, learning and leadership.

We Lead With Honesty

We speak and act with integrity, clarity and care so people can trust our word and our work. Being honest means we can deliver the best outcomes and consistent results.

We Are Stronger Together

Success is a team effort. Our inclusive workplace enables our combined expertise, humility and creativity to unlock our greater potential.

We Are Driven To Do Great Work

We built our name on quality. We have a passion for excellence in our work and relationships that honours our businesses and our industry.

We Create Opportunity

Rooted in a solid foundation, we adapt and grow to face the future. We are committed to elevating each other to chart the best path forward in an evolving world.

At Bird, we value Diversity, Equity, and Inclusion (DE&I) and believe it is essential to our success. We will continue to listen, learn, and take action in our commitment to building progress in our organization, and the industry as a whole. Cultivating an environment where all employees feel included, seen, and have a sense of belonging is core to Bird's culture. We commit to proactively employing a workforce that reflects the communities in which we work, fostering an environment of continuous learning, and never compromising on our values.