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Entry Level Data Analyst R Programming Jobs in Alberta

We are SLR Consulting (Canada), an 800+ team of advisory, environmental/engineering, and regulatory ... Experience in environmental field sampling, chemistry, analytical data validation, groundwater ...

Responsibilities Gain proficiency in exploratory data analysis, perform it, and present insights ... Prior exposure to a statistical or scientific programming environment is helpful. If you don't have ...

Data Engineer I

Calgary, AB · Hybrid

CA$70K - CA$85K/yr

... programming, troubleshooting sessions, and design discussions * Gain hands-on experience across modern data platforms and cloud technologies 🧠 Work with High-Impact Data * Analyze and process ...

Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present ... We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and ...

Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present ... We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and ...

Data Engineer I

Edmonton, AB · Hybrid

CA$70K - CA$85K/yr

... programming, troubleshooting sessions, and design discussions * Gain hands-on experience across modern data platforms and cloud technologies 🧠 Work with High-Impact Data * Analyze and process ...

The Master Data Analyst reports to the Manager, Inventory Management and Master Data, and is ... Bachelor's degree in business, Supply Chain, Engineering, or related field * Supply Chain ...

New

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 ...

Support endtoend delivery of AI and advanced analytics solutions, from initial PoC through deployment and ongoing sustainment. * Collaborate with data scientists, ML engineers, and platform engineers ...

Support endtoend delivery of AI and advanced analytics solutions, from initial PoC through deployment and ongoing sustainment. * Collaborate with data scientists, ML engineers, and platform engineers ...

Work with Business Analysts and Developers to ensure the warehouse contains the appropriate data models to handle both analytical and system reporting needs. Ensure that data security and access to ...

Rogers is seeking a Data Engineer to join the Data & AI team, supporting enterprise-scale data ... This role focuses on building, automating, and operating modern data pipelines and analytics ...

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 (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 ...

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Entry Level Data Analyst R Programming information

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 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 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 are popular job titles related to Entry Level Data Analyst R Programming jobs in Alberta? For Entry Level Data Analyst R Programming jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in Alberta look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in Alberta are:
What cities in Alberta are hiring for Entry Level Data Analyst R Programming jobs? Cities in Alberta with the most Entry Level Data Analyst R Programming job openings:

Environmental Data Manager

Slrconsulting

Calgary, AB

CA$70K - CA$90K/yr

Full-time

PTO

Posted 17 days ago


Job description

We are SLR Consulting (Canada), an 800+ team of advisory, environmental/engineering, and regulatory professionals across Canada. We deliver environmental and sustainability services to our clients through the integration of over 30 advisory, technical environmental, and engineering disciplines to help clients address some of their most complex challenges around sustainability. We are Making Sustainability Happen.

As our new Environmental Data Manager, you will play an important role on a team whose work is essential to achieving this goal.

Role

As our Environmental Data Manager, you will lead the development and optimization of our environmental data systems across Canada and internationally. You will manage evolving data needs, support diverse project teams, and ensure highquality, accessible data. Success in this role comes from effective communication, technical expertise, and the ability to balance multiple priorities in a collaborative, fastmoving environment.

Responsibilities:

  • Working with project staff to identify project data management needs and requirements
  • Define, organize, implement, and enforce correct data importing, data exporting, data collection, management validation, and report workflows and policies.
  • Assist with training sessions to aid employees to be able to use the data management system independently and effectively.
  • Ensure the proper functioning of data management software (EarthSoft EQuIS)
  • Establish standards and processes and help define tools to facilitate data collection, management, and reporting.
  • Implement modern technology to expand services to internal project teams and clients.

Working @ SLR

With us, there is no doubt you'll grow your subject-matter expertise and industry knowledge. We care about investing in our employees for the long-run, and if you ask our team, they'll tell you that's just one of the many benefits of working here. We want to be a place where you can experience career growth and satisfaction for many years.

Here's what else you'll enjoy as part of our team:

  • Competitive total compensation package including comprehensive benefits, vacation, and a suite of wellness initiatives
  • The salary range for this position is $70,000 - 90,000. Final agreed upon compensation will be commensurate with individual education, professional designation, experience, internal parity, and location.
  • Full-time, permanent role with opportunities for professional growth and advancement

Qualifications/Education/Memberships:

  • 2+ years' experience in environmental data management.
  • Bachelor's Degree in Environmental Engineering/Sciences preferred.

Experience in the following:

  • Environmental Field & Laboratory Data (EDDs).
  • Microsoft Excel.
  • Electronic Data Capture.
  • EarthSoft EQuIS: EDP, Pro, Enterprise, or Collect
  • Experience with environmental software implementations in a consulting/industrial environment.
  • Experience in environmental field sampling, chemistry, analytical data validation, groundwater modeling, data analysis, and/or visualization.
  • Experience with mobile data collection using EQuIS Collect, Field Maps for ArcGIS, Survey123, and Tablogs a plus.
  • Exposure to database or programming platforms (for example, Microsoft Access, Microsoft SQL Server, Visual Basic for Applications, Python, R or similar).
  • Experience with designing and automating digital workflows.
  • Excellent written and verbal communication skills.
  • Strong attention to detail with excellent analytical, multitasking, and judgment capabilities.
  • Ability to effectively work independently and in a team environment.

This job posting is for a future opportunity.

Artificial intelligence is not being used to screen, assess, or select applicants.

SLR strivesto build diverse teams that reflect the communities we work in, and encourages applications from traditionally underrepresented groups including women, visible minorities, Indigenouspeoples, people identifying as 2SLGBTQI+,veterans,and people with disabilities.