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Entry Level Data Analyst R Programming Jobs in Calgary, AB

Tcenergy

Senior Risk Analyst

Calgary, AB · Hybrid

... programming. This role will appeal to individuals who are comfortable with detailed analytic work ... Work with ETRM and Data Warehouse systems * Assist in the development, testing and implementation ...

Canadian Natural

Data Science Student

Calgary, AB · On-site

... to analyze historical data and identify trends and anomalies * Data Workflow Management: Utilize ... Currently enrolled in a bachelor's or master's degree program in Engineering * Proven completion of ...

New

Canadian Natural

Data Science Student

Calgary, AB · On-site

... to analyze historical data and identify trends and anomalies * Data Workflow Management: Utilize ... Currently enrolled in a bachelor's or master's degree program in Engineering * Proven completion of ...

New

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 ...

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 ...

Alberta Health Services

IT Analyst II

Calgary, AB · Hybrid

CA$42.12 - CA$56.86/hr

As an IT Analyst II, you will support and administer critical data systems that power enterprise ... Familiarity with healthcare data engineering practices, including incremental loads and medallion ...

Hexagon

Software Engineer

Calgary, AB

... detailed data analysis, and explore AI-driven methods to improve algorithm tunning or improve ... C/C++ programming skills * Strong written and verbal communication skills Key Success Factors:

Hexagon

Software Engineer

Calgary, AB

... detailed data analysis, and explore AI-driven methods to improve algorithm tunning or improve ... Programming skills in Python * CI/CD integrations

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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 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 skills and qualifications are needed to thrive as an entry level data analyst r programming?

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 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 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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Principal Analyst, Large Load Intelligence - 26150

Enverus

Calgary, AB • On-site

Full-time

Re-posted just now

Job description

Why YOU want this position
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.

The role
You'll be in the room, virtually and physically, with the hyperscalers, utility executives, IPP developers, and institutional investors deciding where the next wave of data centers and electrified industrials connect to the grid. Most client questions land somewhere on the same three axes: where to site new load, what the local utility's rates and tariffs actually mean, and what the surrounding power market looks like. Your work won't sit in a dashboard; it'll shape billion-dollar siting decisions, rate case filings, and IRPs across North America.
This role reports to Ryan Luther, who leads the broader Power & Renewables Intelligence group.
This is an in-office role based at our Calgary headquarters with regular travel to the US for client meetings and conferences.
A day on the team
  • Take a 30-minute call from a hyperscaler's energy procurement lead trying to compare utility tariffs and siting attractiveness for a 500 MW build.
  • Read a rate case order over coffee and translate its implications for a private equity client by lunch.
  • Write a 600-word note under your byline on what last week's IRP filing means for new large-load tariffs.
  • Walk a developer's commercial team through the interconnection landscape across PJM, ERCOT, and MISO.
  • Get on stage at an industry conference and field the hard questions about transmission queue reform and large-load policy.
How we work
Most research shops give ownership of the hardest problems to the most senior person on the team; everyone below executes. We do the opposite. Every analyst, even at entry-level, owns their projects end-to-end and pulls in senior team members for guidance. That hands-on, problem-by-problem ownership is how you build the confidence and judgment to add real value to our clients, and it's the single biggest reason people stay on this team.

Who thrives on this team
  • Your intelligence is broad, not narrow. You aren't the world's expert on power flow analysis, but you're smart enough to master it if put to the task. You're more interested in solving the whole problem than being the deepest specialist on one piece of it.
  • You ask for help early. You'd rather make ten phone calls and look slightly less smart than struggle alone for two weeks.
  • You understand that excellent and on time outperforms perfect and late.
  • You'd rather write a tight one-pager than a 40-slide deck.
  • You take the work seriously, not yourself.
  • You seek to be a direct contributor to infrastructure development, bridging the gap between data analysis and real-world implementation.
What you'll own
  • Large load and data center research. Build and maintain the definitive view on the pipeline, siting, and operational characteristics of hyperscale data centers and other large industrial loads across North America.
  • Siting frameworks. Develop how clients evaluate location attractiveness across transmission capacity, interconnection queues, utility tariffs, latency, water, land, and policy. Make those frameworks the ones the market relies on.
  • Utility rate cases & IRPs. Track and interpret rate case filings, integrated resource plans, large-load tariffs, and special contracts, and translate them into actionable insight for clients on both sides of the meter.
  • BTM integration. Cover the economics, reliability, and emissions implications of behind-the-meter generation, storage, and microgrid configurations supporting large loads.
  • Client engagement. Independently lead calls and presentations with corporate strategy teams, hyperscalers, utilities, IPPs, and institutional investors. Become the name clients ask for.
  • Published research. Author and publish notes, reports, and dashboards through the Enverus Prism platform that get quoted in trade press and earn invites to industry stages.
  • Cross-team collaboration. Partner with Power Market Fundamentals, Power Assets, and Commercial teams so your work compounds with theirs.
  • Must-haves
  • You're someone people remember after a meeting: clear, confident, curious, and easy to spend an hour with. You can hold your own with a utility CFO, a developer's commercial lead, and a hyperscaler's VP of energy in the same afternoon.
  • Direct experience with at least two of: utility rate cases, IRPs, large load siting, generator interconnection, or large customer tariffs. That experience can come from a utility, hyperscaler, developer, consultancy, law firm, ISO/RTO, regulator, or research/data provider.
  • Working knowledge of utility regulation: cost-of-service ratemaking, IRP processes, and FERC / state PUC dynamics.
  • A track record of doing real things well, academic or professional or otherwise. We care more about what you've built than your GPA.
  • Comfort translating dense regulatory and technical material into clear, actionable insight for executive audiences.
  • Willingness to live in Calgary and travel to the US for client meetings, conferences, and site visits.
Helpful, but not required
  • Python, SQL, or advanced Excel modeling.
  • Hands-on experience designing BTM generation, storage, or microgrid systems.
  • Professional designation (P.Eng., JD, MBA, MS/PhD).
  • Existing relationships in the hyperscaler, utility, or developer community.
  • What success looks like in your first 12 months
  • You own large load coverage end-to-end and become the name clients ask for by Q3.
  • You publish at least one piece of research that gets quoted in trade press.
  • You're on stage at two industry conferences and host a quarterly client roundtable.
  • You partner with product and data science to ship something on the Prism platform that wouldn't exist without you.
  • You build the relationships across Power Market Fundamentals, Power Assets, and Commercial that compound your work.
About Enverus & this team
Enverus is the leading energy SaaS company delivering highly technical insights and predictive/prescriptive analytics that empower customers to make decisions that increase profit. We are a strategic partner to more than 6,000 customers in 50 countries, delivering business-critical insights to the global energy industry through a state-of-the-art SaaS platform built on industry-leading data and analytics.

Our Power & Renewables Intelligence team produces research for institutional investors, hyperscalers, IPP developers, utilities, and corporate strategy teams. If you want to shape how the North American grid gets built over the next decade, this is the place to be.
Employment Type: Full-Time

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