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Entry Level Data Analyst R Programming Jobs in Calgary, AB

Viridien

Machine Learning Engineer

Calgary, AB

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 ...

Finning

Data Engineer II

Calgary, AB · Hybrid

Data is deeply embedded in the product, engineering, analytics, and operational culture at Finning. Finning Canada is looking to hire a permanent, fulltime Data Engineer II based either in Surrey ...

Viridien

Seismic Imaging Analyst

Calgary, AB · Hybrid

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that ... PhD or Master's in Geophysics, Physics, Electrical/Mechanical Engineering, Mathematics, Applied ...

Viridien

Seismic Imaging Analyst

Calgary, AB · Hybrid

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that ... PhD or Master's in Geophysics, Physics, Electrical/Mechanical Engineering, Mathematics, Applied ...

Cgg

Seismic Imaging Analyst

Calgary, AB · Hybrid

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that ... PhD or Master's in Geophysics, Physics, Electrical/Mechanical Engineering, Mathematics, Applied ...

Onterris

Water Resources Engineer

Calgary, AB

CA$30 - CA$55/hr

Experience with Python, R, or VBA for data analysis and model automation would be considered an ... Our scientists, engineers, field teams and consultants apply systems thinking that unites science ...

BBA, Inc.

Junior Advisor, Asset Analytics

Calgary, AB · On-site

... analysis and commissioning, asset management and analyticsand advisory services. BBA has a new ... BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Calgary, AB

Entry Level Data Analyst R Programming information

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
What are popular job titles related to Entry Level Data Analyst R Programming jobs in Calgary, AB? For Entry Level Data Analyst R Programming jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in Calgary, AB look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in Calgary, AB are:
Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Calgary, AB as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 84% Physical, 7% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer

CGG Services (Canada) Inc.

Calgary, AB • On-site

$90 - $120/hr

Other

Posted 23 days ago

Job description

Machine Learning Engineer

Location: Calgary, AB, Canada. Full-time.

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. You will develop machine learning models and retrain systems, contributing ideas and driving innovation to maintain our outstanding leadership position.

Preferred Education
  • Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.
Key Skills & Competencies
  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills in C, C++, R, Java, Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects
  • Effective communication skills to keep all stakeholders regularly informed on progress
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction
Other Skills/Experience
  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development
Responsibilities
  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Provide support to achieve successfully deployed models at conclusion of projects
  • Plan and manage data analysis workflows
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experimentsTrain and retrain systems when necessary
  • Extend existing ML libraries and frameworks
Equal Employment Opportunity

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

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