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Intern Python Data Analyst Jobs in Toronto, ON (NOW HIRING)

Role Overview As a Data Analyst in our Business Intelligence & Analytics team, you will bridge the ... Python skills are a major asset. * Data Modeling: Solid understanding of star schemas, data ...

Role Overview As a Data Analyst in our Business Intelligence & Analytics team, you will bridge the ... Python skills are a major asset. * Data Modeling: Solid understanding of star schemas, data ...

Product Data Analyst

Toronto, ON · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Python for analysis -- pandas and statistical libraries; you don't freeze when the answer requires ...

Senior Data Analyst (m/f/d)

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

As Senior Data Analyst you will join our Seller & Listing Analytics team. You will partner with ... Advanced SQL and strong Python skills. * Experience with data modeling and ELT/ETL tools (e.g., dbt ...

Data Operations Analyst (Contract)

Toronto, ON · On-site

CA$72K - CA$108K/yr

As a Data Operations Analyst, Investment Data Operations, you will help deliver accurate, timely ... SQL, Python, Power BI, and workflow tools such as Azure DevOps are assets. This posting is for an ...

As a Research Intern, you will gain hands-on experience in both quantitative and qualitative ... Python) is an asset Skills * Analytical Skills: Ability to work with data, identify basic trends ...

Showing results 41-60

Intern Python Data Analyst information

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What is the difference between Intern Python Data Analyst vs Intern Data Scientist?

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

What are the key skills and qualifications needed to thrive as an Intern Python Data Analyst?

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.

What are the most commonly searched types of Python Data Analyst jobs in Toronto, ON?

The most popular types of Python Data Analyst jobs in Toronto, ON are:

Senior Data Analyst, Network Optimization

Takeaway

Toronto, ON • Hybrid

Full-time

Medical, Dental, PTO

Posted 3 days ago

New


Job description

Ready for a challenge?

Born in the Prairies, now part of a worldwide network, Skip is a tech company with an entrepreneurial spirit and the drive to be the best. We're a people-first, collaborative company with a fun, dynamic and innovative environment. Our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, grabbing some groceries or sunscreen, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About this role

Skip continually looks for high performers who are excited to join our entrepreneurial team to revolutionize food ordering and the delivery industry. We are a technology and logistics company that partners with restaurants across North America to provide access to top restaurants. Skip simplifies this process and provides an outstanding experience to users by leveraging innovative technology and an extensive courier network.

We're revolutionizing the way humanity eats, and there's a lot of room for optimization and growth. That's where you come in. Your ingenuity will help us continue to drive innovation, making an impact on the reliability, performance, and scalability of Skip's industry-leading technology.

We're looking for a business-minded analyst who can optimize tools, implement systems, and provide support to our growing Logistics department. Logistics is about analyzing the performance and efficiency of our last-mile food delivery. Are you ready for this exciting challenge?

Location: Hybrid- 3 days a week from our Winnipeg or Toronto office & 2 days working from home

Reporting to: Senior Team Lead, Network Analytics & Optimization

These are some of the key components to the position:
  • As our Senior Data Analyst, Network Optimization, you will combine data-driven insights and business knowledge to support our Logistics operation - presenting logical and persuasive stories to executives

  • Working in our Network Optimization team, you will have a leading role in crafting and implementing the analysis systems, methods, tools and techniques that support the team's work. By staying up to date on the latest developments in business analysis tools, you can also recommend new insight to management.

  • To help us produce the best business analysis, you will also:

    • Integrating insights from available data and new developments

    • Proactively identifying opportunities for improving our logistics model and division

    • Mentoring junior team members, demonstrating their capabilities, and enhancing team output

    • Designing measurable metrics and ensuring key performance indicators align with stakeholder needs

    • Developing reports using Business Intelligence tools like Tableau

    • Building and enhancing SQL queries (Google BigQuery preferred)

    • Leveraging Python to conduct in-depth data analysis and automate analytical workflows

What will you bring to the team?
  • 4-6 years' experience in a similar role, preferably related to business analysis

  • Strong expertise in SQL, Python, and Tableau with proven experience in data storytelling, experimentation, and optimization.

  • Strong problem-solving skills, and demonstrated experience in leveraging data to answer key business questions and influence decisions.

  • Strong communication skills with the ability to explain complex analytic concepts and data insights to non-technical stakeholders.

  • Technical proficiency with GSuite, Atlassian (Jira), Git, and Slack for collaboration and project tracking.

  • Experience working with logistics would be an asset.

Why work at SKIP?

SKIP is the kind of workplace that garnered a "Top Places to Work in Manitoba" and it was no small coincidence. We set out to make this a place our employees are proud to tell their Mothers, Fathers, friends and anyone who will listen that they work here. SKIP team members feel pride knowing their input and uniqueness are not only embraced but make an impact on a major Canadian company and its satisfied customers. As the company grows, so do you - you meet and surpass new challenges every day.

That's just a small taste of what it's like to work at one of Canada's leading tech companies. If you're hungry for opportunity, growth, and something meaningful in a dynamic, fun and challenging environment, we'd love to hear from you.

SKIP is proud to be an Equal Opportunity employer. We are committed to fostering a diverse and inclusive environment where all employees feel they truly belong and where everyone is included, seen, heard and respected.

In keeping with our values, all applicants will receive consideration for employment regardless of: gender identity or expression, sexual orientation, race, ancestry, national origin, religion, age, marital/domestic partner status, (dis)ability, neurodivergence, or any other characteristic protected by law. Should you require any accommodations throughout the hiring process, we encourage you to reach out to your talent acquisition specialist.

Note: All employees will be asked to sign a Consent for Disclosure of Personal Information in order to complete a background check. Job offers will be conditional upon results that the Company determines to be satisfactory.

What We Offer:

  • Team Vibes: Thrive in a collaborative culture where your ideas matter.
  • Tasty Perk: Enjoy a monthly Skip spend allowance - treat yourself!
  • More Time Off: Generous PTO with a buy and sell program with up to 5 extra days!
  • Family First: Up to 20 weeks top up for parental leave.
  • Premium Benefits: Flexible medical & dental insurance for you and your family.
  • Keep Learning: Access world-class training resources to power your success.
  • Perks Galore: Exclusive offers from Workperks from hundreds of top brands.
  • Future Funded: RRSP contributions with diverse investment portfolios.
  • We've Got You: We've got you covered. Access paid sick time to care for yourself or your family when life happens & access to our well-being support programs.
  • Digital Nomads: Family abroad or just want a change of scenery? Enjoy the freedom to work from almost anywhere in the world for 4 weeks a year.
  • Career Growth: Fuel your personal and professional evolution through our dedicated mentorship, global mobility pathways, and a wellness-first culture rooted in true diversity and inclusion.

Compensation range: $94,620.00 - $100,000.00

Final compensation may vary based on skills, experience, and internal equity.


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Employment Type: FULL_TIME