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Data Analyst Jobs in Calgary, AB (NOW HIRING)

Strathcona Resources Ltd

Data Analyst

Calgary, AB

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 ...

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 · On-site

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 · On-site

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 Calgary, AB

Data Analyst information

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 Calgary, AB? The most popular types of Data Analyst jobs in Calgary, AB are:
What are popular job titles related to Data Analyst jobs in Calgary, AB? For Data Analyst jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Calgary, AB look for? The top searched job categories for Data Analyst jobs in Calgary, AB are:
What cities near Calgary, AB are hiring for Data Analyst jobs? Cities near Calgary, AB with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Calgary, AB as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 68% In-person, 12% Hybrid, and 20% Remote job distribution.

Data Analyst

Strathcona Resources Ltd

Calgary, AB

Full-time

Posted 3 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