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Data Analyst Data Science Jobs in Alberta (NOW HIRING)

Junior Data Analyst

Edmonton, AB ยท Hybrid

$25 - $31/hr

Junior Data Analyst Employment Type: Full-Time, Permanent Work Arrangement: Hybrid Experience Required: 0-2 years Salary: $50,000-$60,000/year Job Summary We are hiring a Junior Data Analyst to ...

About the role You will be part of Seequent Labs, a research, prototyping, and data science team ... Analyze user challenges and workflows to deeply integrate into all aspects of designing ...

Data Scientist

Edmonton, AB ยท On-site

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Data Scientist

Edmonton, AB ยท On-site

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Data Scientist

Calgary, AB ยท On-site

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Data Scientist

Calgary, AB ยท On-site

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

Showing results 21-40

Data Analyst Data Science information

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 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.

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 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 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:

Infographic showing various Data Analyst Data Science job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Junior Data Analyst

Edmonton, AB โ€ข Hybrid

$25 - $31/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Junior Data Analyst

Employment Type: Full-Time, Permanent

Work Arrangement: Hybrid

Experience Required: 0-2 years

Salary: $50,000-$60,000/year

  Job Summary

We are hiring a Junior Data Analyst to support reporting, data cleaning, and basic analysis across the business. You'll help build dashboards, validate data accuracy, and support senior analysts on larger projects, gaining hands-on experience with real business data.

  Responsibilities
  • Collect, clean, and organize data from multiple sources
  • Assist in building and maintaining reports and dashboards
  • Support data validation and quality checks
  • Help identify basic trends and patterns in datasets
  • Assist senior analysts with larger analytical projects
  • Document data definitions and reporting processes
  • Support ad hoc data requests from various departments
  Requirements & Qualifications
  • Bachelor's degree in Data Analytics, Statistics, Business, or related field preferred
  • 0-2 years of experience in data analysis or reporting
  • Basic proficiency in Excel; SQL exposure a plus
  • Familiarity with a visualization tool (Power BI, Tableau) a plus
  • Strong attention to detail and analytical thinking
  • Good written and verbal communication skills
  Benefits
  • Health, dental, and vision insurance
  • 401(k) plan
  • Paid time off and holidays
  • Hybrid work flexibility
  • Mentorship and skill development
  Equal Opportunity Statement

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.