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Data Analyst Data Science Jobs in Alberta (NOW HIRING)

Targeted Talent

Data Scientist

Calgary, AB · Remote

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

Targeted Talent

Data Scientist

Edmonton, AB · Remote

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

Primus Workforce

Data Analysts

Edmonton, AB

CA$1 - CA$2/hr

Bachelor's degree in Information Technology, Computer Science, Data Analytics, Engineering, or a related field (or currently in progress with relevant experience) * 3-5 years of experience in a data ...

Canadian Natural

Cloud Data Developer

Calgary, AB · On-site

You will work closely with Data Analysts, Data Scientists, Business Systems Analysts, and platform teams to help deliver reliable, well-governed, and cost-effective data solutions. This position is ...

Targeted Talent

Senior Data Scientist

Calgary, AB · Remote

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

Targeted Talent

Senior Data Scientist

Edmonton, AB · Remote

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

Targeted Talent

Senior Data Scientist

Edmonton, AB · Remote

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

Targeted Talent

Senior Data Scientist

Calgary, AB · Remote

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

Suncor

Mine Engineer, Data Analytics

Fort Mcmurray, AB · On-site

Join us as a Specialist Mine Engineer, Data Analytics, and help transform complex operational data ... Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related technical ...

Suncor

Mine Engineer, Data Analytics

Calgary, AB · On-site

Join us as a Specialist Mine Engineer, Data Analytics, and help transform complex operational data ... Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related technical ...

PCL Construction

Procurement Data Analyst

Edmonton, AB · On-site +1

Postsecondary degree or diploma in a program related to computing science, information management, statistics, or a business program with a focus on data analytics or operations research * Experience ...

PCL Construction

Procurement Data Analyst

Edmonton, AB · On-site +1

Postsecondary degree or diploma in a program related to computing science, information management, statistics, or a business program with a focus on data analytics or operations research * Experience ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Alberta

Data Analyst Data Science information

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

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.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

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, and why are they important?

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Alberta? For Data Analyst Data Science jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Alberta look for? The top searched job categories for Data Analyst Data Science jobs in Alberta are:
What cities in Alberta are hiring for Data Analyst Data Science jobs? Cities in Alberta with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Alberta as of June 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, and 7% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Data Scientist

Data Scientist

Targeted Talent

Calgary, AB • Remote

Full-time

Posted 28 days ago

Job description

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver

You Have:

  • 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)
  • Strong analytical skills working with unstructured data sets
  • Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB)
  • Strong experience with big data services like Spark, Kafka, Rabbit
  • Experience working with Startups are considered a bonus
  • Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

  • Remote + flexible work schedule
  • North of six figures salary + Equity + Health Spending Account (it's competitive)
  • Amazing opportunity for career progression to lead
  • Amazing mentorship (seriously)
  • Plenty of vacay
It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

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About Targeted Talent

Sourced by ZipRecruiter

Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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