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

Data Architect

Calgary, AB ยท On-site +1

Monitor and improve analytical database performance in cloud environments * Conduct model tuning ... Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+years of ...

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 ...

... data science with your strong ML Ops and software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will ...

Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics ... Bachelor's degree in Computer Engineering, Computer Science, or a related field Join our team and ...

Bachelor's degree in mathematics, actuarial science, computer science or finance * Minimum of 5 years experience in the data conversion analysis field * Fluency in English and French (written and ...

Strong skills in statistics and programming, as well as knowledge of data science and software ... Enthusiasm for analytical and problem-solving challenges * Strong enterprise project experience ...

Showing results 41-60

Data Analyst Data Science information

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Calgary, AB? For Data Analyst Data Science jobs in Calgary, AB, the most frequently searched job titles are:
Infographic showing various Data Analyst Data Science job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Architect

Krux Analytics Inc.

Calgary, AB โ€ข On-site, Remote

Full-time

Posted 5 days ago


Job description

Data Architect

At Krux,Innovation Happens Together, by being a true partner to our customers, by valuing collaboration and teamwork, and by including a diversity of industry and life experience.


We are seeking a Data Architect to join our team. Reporting to the Software Development Manager, you will be responsible forbuilding the data infrastructure that is keyto our products by organizing, collecting, and interpreting dataand thenturning that informationinto actionable insightsthat inform company decisions and drivesgrowth.


You will be part of a team that is self-motivated,highly collaborative,eager to learn and be challenged, and enjoys having fun.


Who are we?

Krux builds innovative SAAS solutions for the mining industry. We empower our customers to make better decisions through real-time data management and analytics. Understanding our customer's needs and the ability to solve their problems is what sets us apart. Krux, founded in 2016 and headquartered in Alberta, has global reach. We support client's operations on every continent (well, except Antarctica).


What you will do

  • Design, develop andmaintainenterprise scale Power BI semantic models (tabular)
  • Architect scalable and high-performance data modelsto support multi-tenant SaaS analytics
  • Define best practices for dataset design, governance, andlifecyclemanagement
  • Optimizemodel performance, DAX calculations,aggregationsand storage strategies
  • Manage and enhance Power BI service environments (workspaces, deployment pipelines, security)
  • Monitor and improve analytical database performance in cloud environments
  • Conduct model tuning and capacity optimization to support growth and usage scaling
  • Evaluate and enhance current analytics platform architecture
  • Partner withteammates forETL and data pipeline improvements
  • Providetechnical guidance on semantic layer design and analytics best practices
  • Support cross functional stakeholders with scalable reporting architecture
  • Assistin high-priority analytics platform issues

Who you are:

  • You areanexpertinPower BIdata modeling and Power BI services
  • You are deeply performance-minded, with a strong instinct for optimization, tuning, and proactivelyidentifyingissues before theyimpactusers or systems.
  • You are security-conscious and disciplined, understanding the importance of data protection, access controls, and system reliability in production environments.
  • You are a collaborative team player who works effectively with developers, QA, and product partners to solve complex problems and improve delivery outcomes.
  • You are a mentor and continuous learner who enjoys elevating others, improving engineering practices, and staying current with evolving database technologies.

What you bring:

  • Bachelor's Degree (Computer Science, Technology, Engineering, or related field)
  • 10+years of experienceas a data analyticsdeveloperor engineer
  • 5+ years of experience in developing dataarchitecture solutions using Tabular Editoris highly desirable
  • Experience in the energy, drilling and/ormining sector is an asset
  • Experience with databases for high performance, multi-tenant web applications is necessary
  • Familiarity with Azure cloud data services
  • Experience withdevtoolsincluding Git, Azure, DevOps, Visual Studio, Jira
  • Understandingof modern data development technologies (data engineering, pipeline, ETL)
  • Strong attention to detail, critical thinking, and problem-solving skills.


Work Location:
Calgary, AB (Office islocateddowntown)

Work remotely:Hybridwork schedule


When You Work at Krux:

  • You will be valued and respected.We believe every team member brings valuable ideas and experiences no matter their seniority. We support and empower the team and trust you to get the job done.
  • You will be part of a team where we lend each other a hand.We strive for high performance by fostering an environment that emphasizes communication, collaboration, and mentorship. We believe that the only way to succeedis together.
  • You will help our customers.Not every roleis customerfacing but at the end of the day we are all working to make ourcustomers'lives easier. Our goal is to create innovative solutions with a strong emphasis on user experience.
  • You will have a life outside of work.We have partners, kids, families, and friends too, so we realize that work is just one part of your life. Krux offerswork-life balance with flexible hours anda hybrid schedule.


We value the power of our differences and at Krux, we walk our talk. We have a diverse team(including in leadership positions)and are dedicated to creating a diverse,equitable,and inclusive environment. We ensure equal opportunity for all applicants and encourage people of allvisible minorities, includingIndigenous applicants,and those of any religion, sex, age, ability, sexual orientation, genderidentityor expression to apply.

Now What?

If this position sounds like a great fit, we want to hear from you!


Submit your cover letter and resumetoday.