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Weekend Python Data Analyst Jobs in Surrey, BC (NOW HIRING)

Data Engineering Intern

Richmond, BC · On-site

CA$23.50 - CA$27/hr

The Data Engineering intern will be reporting to the AI & Analytics Manager. This is a full-time ... Design and implement robust, highly performant, and scalable streaming data pipelines using Python ...

The Data Engineering intern will be reporting to the AI & Analytics Manager. This is a full-time ... Design and implement robust, highly performant, and scalable streaming data pipelines using Python ...

... data quality, searchability and analytics usefulness * Using tools such as SQL, Python, Tableau, Power BI (DAX) and Excel to develop and test analytics solutions in a sandbox environment * Partnering ...

... Python, JavaScript), and tools such as QGIS, PostGIS, and GeoServer. A solid understanding of ... Strong proficiency in spatial data analysis, cartography, and geoprocessing is essential, along ...

New

Preferred tooling: workflow automation platforms (n8n, Zapier, Workato, or Make), Python for data analysis, exposure to a cloud data warehouse (BigQuery, Snowflake, Redshift) * Demonstrated ...

Extensive experience using Python for data analysis, modeling, and building production-grade ML workflows. * Demonstrated experience working in cloud environments, specifically AWS, including ...

... analytics and operational systems under the Cyber domain. The ideal candidate has hands-on ... Experience with programming (Python, Go, or similar backend languages). * Experience with data ...

... analytics and operational systems under the Cyber domain. The ideal candidate has hands-on ... Experience with programming (Python, Go, or similar backend languages). * Experience with data ...

... data engineering projects. * 1 - 3 years of experience with Python, working with GCP, including ... Experience analyzing the performance of conversational AI systems (e.g., voice bots, chatbots) and ...

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Weekend Python Data Analyst information

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst, and why are they important?

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

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

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in Surrey, BC? The most popular types of Python Data Analyst jobs in Surrey, BC are:
Data Engineering Intern

Data Engineering Intern

Boeing

Richmond, BC • On-site

CA$23.50 - CA$27/hr

Full-time

Posted 6 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 585 frontline employees who took The Breakroom Quiz

34th of 515 rated manufacturers


Job description

Data Engineering Intern

Company:

Boeing Vancouver

Calling all university students! Join our team of Student interns and embark on an extraordinary journey alongside seasoned professionals. Gain invaluable skills and knowledge as you dive into real-world tasks, tackle exciting challenges, and receive top-notch training. Plus, get the chance to contribute to special projects that will set you apart. Don't miss out on this thrilling opportunity - apply now and take your university experience to the next level!

Boeing Vancouver is seeking a Data Engineering Intern for our internship program. The Data Engineering intern will be reporting to the AI & Analytics Manager. This is a full-time internship opportunity that is based at our office in Richmond, British Columbia and is up to 8 months in length, starting in early September 2026.

As a Data Engineering Intern, you will bring a keen enthusiasm for AI, machine learning, and data analytics. You will be embedded in a multidisciplinary data science team to develop and support advanced analytics applications. You will assist the data science team in converting industry-leading analytics initiatives into product platforms, which in turn support diverse and interesting customer aircraft programs.

The Data Engineering Intern will assist in designing, implementing, and managing data pipelines that meet business requirements. This includes defining data models, data contracts, data quality requirements, and model features.

Candidates should have a solid understanding of fundamental software development standards and practices, cloud infrastructure, and security practices. However, to excel in this role, they must also demonstrate professional curiosity, a love for learning, a passion for problem-solving, and a resourceful, get-it-done attitude.

Position Responsibilities:

  • Work directly with an assigned mentor or a buddy.

  • Design and implement robust, highly performant, and scalable streaming data pipelines using Python and Spark.

  • Define, enforce, and measure data quality as part of the data pipelines.

  • Work with cross-functional teams to solve their complex data problems.

  • Foster the creation of a data-driven culture, data stewardship, related competencies, and data literacy across the organization.

Ad-Hoc & Other:

  • Generate ad-hoc data analysis.

  • Report status and progress to Manager and Team Lead.

  • Stay up to date on all new Spark/Databricks features and functionalities and find ways to introduce them to the organization.

Benefits of a Boeing Internship:

  • Have the opportunity to take part in impactful business projects.

  • Network with experienced professionals.

  • Engage in a strong student network.

  • Gain valuable exposure in the Aerospace industry.

This position is hybrid. This means that the selected candidate will be required to perform some work onsite at Richmond location. This is at the hiring team's discretion and could potentially change in the future.

Employer will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills/Experience):

  • Currently enrolled as a full-time student with an accredited university or college with studies in Computer Science or similar technical discipline.

  • Must be at least a 2nd year or higher student with studies in a relevant program.

  • Experience with data engineering and data processing tools.

  • Experience with Python.

  • Experience with relational and non-relational database technologies.

  • Willing and able to work 40 hours per week during the internship.

  • Provide consent to Canadian Government Controlled Goods Program (CGP) assessment and willing and eligible to work on government and defense-related programs.

  • Must be legally able to work in Canada.

  • Individuals must not pose a risk for safeguarding of controlled goods.

  • Must be eligible to handle US export-controlled data.

Preferred Qualifications (Education/Experience):

  • Experience with Apache Spark and/or Databricks.

  • Experience with cloud (Azure preferred).

  • Experience in collaborative development environments and version control (e.g., GitLab).

  • Experience in production-quality software development.

  • Experience working within Agile/Lean frameworks.

  • Previous internship experience.

*Graduates are ineligible unless continuing in post graduate studies.

Relocation:

Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

Additional Information:

This requisition is for a locally hired position in Canada. The employer is Boeing Canada. Candidates must be legally authorized to work in Canada. Benefits and pay are determined by Canada and are not on Boeing US-based payroll. This is not an expatriate assignment.

Starting salary will be based on year of post-secondary education completed, qualifications and experience. The range for this internship is $23.50 - $27.00 CAD hourly.

To review the Canadian Controlled Goods and Public Service and Procurement Canada requirements please go to the following government pages below:

https://www.tpsgc-pwgsc.gc.ca/pmc-cgp/enregistrement-register/lignedirectrice-rd-guideline-do-eng.html

https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Security Clearance:

This position requires an active or ability to obtain Canadian Government Controlled Goods Program (CGP) assessment.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:


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