Every analyst, including those at entry level, owns their projects end to end and pulls in senior ... Familiarity with SQL, Python, or data tools is a plus, not a requirement. * Prior exposure to ...
Every analyst, including those at entry level, owns their projects end to end and pulls in senior ... Familiarity with SQL, Python, or data tools is a plus, not a requirement. * Prior exposure to ...
Entry Level Python information
See Alberta salary details
$23K - $34K
11% of jobs
$43.9K is the 25th percentile. Wages below this are outliers.
$34K - $45K
16% of jobs
$45K - $56K
14% of jobs
$56K - $67K
9% of jobs
The median wage is $68.4K / yr.
$67K - $78K
9% of jobs
$87.6K is the 75th percentile. Wages above this are outliers.
$78K - $89K
20% of jobs
$89K - $100K
6% of jobs
$100K - $111K
7% of jobs
$111K - $122K
5% of jobs
$122K - $133K
2% of jobs
$133K - $144K
1% of jobs
$23K
$73.3K
$144K
How much do entry level python jobs pay per year?
As of Jul 10, 2026, the average yearly pay for entry level python in Alberta is $73,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $92,500.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an Entry Level Python Developer, and why are they important?
To thrive as an Entry Level Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or related fields. Familiarity with version control systems like Git, basic knowledge of databases, and exposure to development environments such as PyCharm or VS Code are often expected. Strong communication, eagerness to learn, and teamwork skills help you adapt quickly and collaborate effectively with peers. These skills ensure you can contribute to projects, learn from feedback, and grow within dynamic software development teams.
What is the difference between Entry Level Python vs Data Analyst?
| Aspect | Entry Level Python | Data Analyst |
|---|---|---|
| Required Skills | Basic Python programming, problem-solving | Data visualization, SQL, Excel, some Python |
| Certifications | Python for Beginners, Entry-Level Programming | Google Data Analytics, Microsoft Excel Certification |
| Work Environment | Tech companies, startups, software teams | Business, finance, marketing departments |
| Industry Usage | Software development, automation, scripting | Data analysis, reporting, decision-making |
Entry Level Python roles focus on basic programming skills and scripting, often within tech environments. Data Analysts combine Python with data visualization and SQL skills to interpret data for business insights. While both roles require some programming knowledge, Data Analysts typically have broader skills in data handling and reporting, making them more versatile in data-driven industries.
What are some common challenges faced by entry level Python developers in their first role?
Entry level Python developers often encounter challenges such as understanding legacy codebases, adapting to team coding standards, and effectively using version control systems like Git. Additionally, they may need to quickly learn new frameworks or tools relevant to the project. Collaborating with more experienced developers and asking questions is key to overcoming these hurdles and growing technical skills.
What Are Entry-Level Python Jobs?
Entry-Level Python positions can be found in multiple industries because Python is a general-purpose language. The company you work for may shape your development, but your general responsibilities include programming software, writing code, and building web applications. Your duties have you working hands-on with Python to analyze, identify, and develop sourced data. You program efficient approaches to process data and test and troubleshoot systems. In an entry level Python position, you work under higher level programmers and assist with improvements while gaining valuable experience to enhance your skills.
What does an Entry Level Python developer do?
An Entry Level Python developer is responsible for writing, testing, and debugging code using the Python programming language. They typically assist in building and maintaining software applications, automating simple tasks, and supporting senior developers in various projects. Entry-level roles are ideal for those new to the field and often focus on learning best coding practices and gaining real-world experience through hands-on projects.
More about Entry Level Python jobs
What are the most commonly searched types of Python jobs in Alberta? The most popular types of Python jobs in Alberta are:
What are popular job titles related to Entry Level Python jobs in Alberta? For Entry Level Python jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Entry Level Python jobs in Alberta look for? The top searched job categories for Entry Level Python jobs in Alberta are:
Other
Posted 10 days ago
Job description
Description
Research Associate, Utilities & AI Infrastructure
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 Utilities & AI Infrastructure team sits at the intersection of two of the most capital-intensive build-outs in the modern economy: the electrification of the US grid and the explosive growth of AI data-center demand. We produce intelligence products, financial models, and strategic research used across Enverus and by clients navigating this convergence. The work is fast, data-dense, and consequential.
Most research shops hand the hardest problems to the most senior person on the team and have everyone below execute. We do the opposite. Every analyst, including those at entry level, owns their projects end to end and pulls in senior teammates for guidance. That hands-on, problem-by-problem ownership is how you build the judgment to add real value for clients, and it's the single biggest reason people stay on this team.
Performance Objectives
- Build and maintain financial models tracking power-demand growth from hyperscaler and co-location data centers across ISO regions.
- Monitor utility filings, rate cases, interconnection queues, and capacity-expansion plans, and surface what matters for Enverus clients.
- Conduct primary research: earnings calls, investor days, regulatory dockets, and industry conferences.
- Synthesize findings into concise written briefs, data tables, and internal memos.
- Support senior analysts on large research projects, from data collection through publication.
- Work with Enverus proprietary datasets (PRISM and our market-intelligence platforms) to ground research in primary energy data.
Competitive Candidate Profile
- A clear communicator. You can turn a filing or earnings transcript into a tight, pointed summary, and explain it so a non-expert gets it.
- 0 to 3 years in energy, finance, consulting, or a research-intensive role; internship experience counts.
- Quantitative fluency: comfortable building and auditing Excel models.
- Genuine curiosity about power infrastructure, AI-hardware supply chains, or energy-transition dynamics.
- Care about getting the details right; you notice when the numbers don't tie.
- Familiarity with SQL, Python, or data tools is a plus, not a requirement.
- Prior exposure to utility regulation, PJM, ERCOT, or MISO market structure, or data-center real estate.
- Experience with the sell-side or buy-side equity-research process.
- You can form a view and back it up. We're hiring an analyst, not a summarizer.
Why this role
AI infrastructure is one of the most analytically underserved corners of energy right now. You'll have access to proprietary Enverus data most analysts can't touch, work on research that gets read at the executive level and build expertise in a space growing faster than almost anything else in the economy.