... internship experience counts. * Quantitative fluency: comfortable building and auditing Excel ... Familiarity with SQL, Python, or data tools is a plus, not a requirement. * Prior exposure to ...
... internship experience counts. * Quantitative fluency: comfortable building and auditing Excel ... Familiarity with SQL, Python, or data tools is a plus, not a requirement. * Prior exposure to ...
... SQL, Oracle), APIs, flat files, and project management systems * Automate data workflows and ... Lead the development, build, and maintenance of internal tools and applications using Python ...
... SQL, Oracle), APIs, flat files, and project management systems * Automate data workflows and ... Lead the development, build, and maintenance of internal tools and applications using Python ...
Compliance Intern
Calgary, AB · On-site +1
Prior internship, co-op, or academic experience in compliance, risk management, energy markets ... Experience with Power BI, Python, or SQL is an asset. * Ability to conduct regulatory research and ...
Compliance Intern
Calgary, AB · On-site +1
Prior internship, co-op, or academic experience in compliance, risk management, energy markets ... Experience with Power BI, Python, or SQL is an asset. * Ability to conduct regulatory research and ...
Sql Python Internship information
What are the big 4 internships?
The 'Big 4' internships typically refer to internship programs at the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as audit, consulting, tax, and advisory, providing valuable experience for students pursuing careers in finance, accounting, and consulting. For a SQL Python internship, gaining experience at these firms can be beneficial, especially if the role involves data analysis or technology projects.
What is a SQL Python Internship?
A SQL Python Internship is a temporary training position designed for students or recent graduates who want hands-on experience working with SQL databases and Python programming. Interns typically assist with data analysis, database management, and automation tasks using SQL and Python. The role helps individuals develop technical skills, gain exposure to real-world projects, and prepare for a career in data science, analytics, or software development.
Is a Python internship worth it?
A Python internship provides practical experience in programming, data analysis, and scripting, which can enhance your skills and improve employability. For a SQL Python internship, gaining hands-on experience with real-world projects and tools like pandas or SQL databases can be valuable for future roles in data analysis or software development.
What are some common projects or tasks I might work on during a SQL Python Internship?
As a SQL Python intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, building data pipelines, and creating reports or dashboards. Typical tasks may include writing SQL queries to extract or manipulate data from databases, developing Python scripts for automation, and collaborating with data analysts or engineers on ongoing projects. You'll likely participate in team meetings, contribute to code reviews, and receive mentorship to help you develop both technical and professional skills. This hands-on experience is valuable for building a foundation in data engineering or analytics roles.
What are the key skills and qualifications needed to thrive as an SQL Python Intern, and why are they important?
To succeed as an SQL Python Intern, you should have a foundational understanding of database concepts, SQL querying, and Python programming, often supported by coursework or relevant certifications. Familiarity with database management systems like MySQL or PostgreSQL, and experience using tools such as Jupyter Notebooks or version control systems like Git, are typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate and solve problems efficiently. These skills enable interns to contribute to data-driven projects and support the technical needs of their team.
What jobs can you get with SQL and Python?
Jobs that require SQL and Python include data analyst, data scientist, database administrator, business intelligence analyst, and software developer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring proficiency in both programming languages and related tools like SQL databases and data visualization software.
What is the difference between Sql Python Internship vs Data Analyst Internship?
| Aspect | Sql Python Internship | Data Analyst Internship |
|---|---|---|
| Required Skills | SQL, Python, basic data manipulation | SQL, Excel, data visualization |
| Work Environment | Tech companies, startups, data teams | Business, finance, marketing sectors |
| Industry Usage | Data engineering, software development | Business insights, reporting |
Sql Python Internships focus on developing skills in SQL and Python for data extraction and manipulation, often within tech environments. Data Analyst Internships emphasize data visualization and reporting skills for business decision-making. While both roles involve data handling, Sql Python Internships are more technical and programming-oriented, whereas Data Analyst Internships focus on interpreting data for strategic insights.
Is Python and SQL enough to get a job?
For a SQL Python internship, proficiency in both SQL and Python is essential, but employers often look for additional skills such as data analysis, problem-solving, and familiarity with tools like Git or databases. Gaining practical experience through projects or certifications can improve job prospects, as these skills are commonly required in data-related roles.
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Other
Posted 19 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.