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Weekend Python Data Analyst Jobs in Alberta (NOW HIRING)

Experience in environmental field sampling, chemistry, analytical data validation, groundwater ... Python, R or similar). * Experience with designing and automating digital workflows. * Excellent ...

Senior Data Engineer

Calgary, AB

CA$76.20K - CA$176.59K/yr

... analytics and business operations. Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines using Python and PySpark Build and manage workflow orchestration using Apache ...

You will work closely with Data Analysts, Data Scientists, Business Systems Analysts, and platform ... Python, SQL, and PySpark, as well as MLOps, DevOps/CI/CD pipelines, performant data stores and ...

Design, develop, and maintain optimized, productiongrade data pipelines using Python and SQL. * Support endtoend delivery of AI and advanced analytics solutions, from initial PoC through deployment ...

Design, develop, and maintain optimized, productiongrade data pipelines using Python and SQL. * Support endtoend delivery of AI and advanced analytics solutions, from initial PoC through deployment ...

Responsibilities Gain proficiency in exploratory data analysis, perform it, and present insights ... We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and ...

Data & AI Architect

Calgary, AB · On-site

CA$118.70K - CA$168.70K/yr

Define end-to-end architectures that span data ingestion, storage, processing, analytics, ML/AI ... Python, TensorFlow, PyTorch, scikit-learn, Azure ML, SageMaker, Vertex AI. * Generative AI: LLM ...

Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present ... We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and ...

Responsibilities • Gain proficiency in exploratory data analysis, perform it, and present ... We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and ...

... data exchange and interactions. * Investigate and resolve complex technical issues by analysing ... Experience with programming languages such as JavaScript, Python, or Node.js. * Familiarity with ...

Data Scientist

Calgary, AB · Hybrid

CA$85.18K - CA$113.65K/yr

Oversee a portfolio of diverse analytics projects, steering them towards delivering comprehensive ... Proficiency in a machine learning programming language (Python) is mandatory. * Strong SQL skills ...

Strong programming skills in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch and scikit-learn * Solid understanding of statistical analysis, data mining ...

Strong programming skills in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch and scikit-learn * Solid understanding of statistical analysis, data mining ...

Proficiency with SQL and Excel, with working knowledge of Python, R, or similar tools used for data analysis, modeling, and automation * Strong commercial acumen with the ability to connect market ...

GIS Analyst Our client is seeking a GIS Analyst to support and enhance GIS‑based systems within ... data tools to support operational needs * Maintain and troubleshoot scripts using Python 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 Alberta? The most popular types of Python Data Analyst jobs in Alberta are:
What cities in Alberta are hiring for Weekend Python Data Analyst jobs? Cities in Alberta with the most Weekend Python Data Analyst job openings:

Environmental Data Manager

Slrconsulting

Calgary, AB

CA$70K - CA$90K/yr

Full-time

PTO

Posted 21 days ago


Job description

We are SLR Consulting (Canada), an 800+ team of advisory, environmental/engineering, and regulatory professionals across Canada. We deliver environmental and sustainability services to our clients through the integration of over 30 advisory, technical environmental, and engineering disciplines to help clients address some of their most complex challenges around sustainability. We are Making Sustainability Happen.

As our new Environmental Data Manager, you will play an important role on a team whose work is essential to achieving this goal.

Role

As our Environmental Data Manager, you will lead the development and optimization of our environmental data systems across Canada and internationally. You will manage evolving data needs, support diverse project teams, and ensure highquality, accessible data. Success in this role comes from effective communication, technical expertise, and the ability to balance multiple priorities in a collaborative, fastmoving environment.

Responsibilities:

  • Working with project staff to identify project data management needs and requirements
  • Define, organize, implement, and enforce correct data importing, data exporting, data collection, management validation, and report workflows and policies.
  • Assist with training sessions to aid employees to be able to use the data management system independently and effectively.
  • Ensure the proper functioning of data management software (EarthSoft EQuIS)
  • Establish standards and processes and help define tools to facilitate data collection, management, and reporting.
  • Implement modern technology to expand services to internal project teams and clients.

Working @ SLR

With us, there is no doubt you'll grow your subject-matter expertise and industry knowledge. We care about investing in our employees for the long-run, and if you ask our team, they'll tell you that's just one of the many benefits of working here. We want to be a place where you can experience career growth and satisfaction for many years.

Here's what else you'll enjoy as part of our team:

  • Competitive total compensation package including comprehensive benefits, vacation, and a suite of wellness initiatives
  • The salary range for this position is $70,000 - 90,000. Final agreed upon compensation will be commensurate with individual education, professional designation, experience, internal parity, and location.
  • Full-time, permanent role with opportunities for professional growth and advancement

Qualifications/Education/Memberships:

  • 2+ years' experience in environmental data management.
  • Bachelor's Degree in Environmental Engineering/Sciences preferred.

Experience in the following:

  • Environmental Field & Laboratory Data (EDDs).
  • Microsoft Excel.
  • Electronic Data Capture.
  • EarthSoft EQuIS: EDP, Pro, Enterprise, or Collect
  • Experience with environmental software implementations in a consulting/industrial environment.
  • Experience in environmental field sampling, chemistry, analytical data validation, groundwater modeling, data analysis, and/or visualization.
  • Experience with mobile data collection using EQuIS Collect, Field Maps for ArcGIS, Survey123, and Tablogs a plus.
  • Exposure to database or programming platforms (for example, Microsoft Access, Microsoft SQL Server, Visual Basic for Applications, Python, R or similar).
  • Experience with designing and automating digital workflows.
  • Excellent written and verbal communication skills.
  • Strong attention to detail with excellent analytical, multitasking, and judgment capabilities.
  • Ability to effectively work independently and in a team environment.

This job posting is for a future opportunity.

Artificial intelligence is not being used to screen, assess, or select applicants.

SLR strivesto build diverse teams that reflect the communities we work in, and encourages applications from traditionally underrepresented groups including women, visible minorities, Indigenouspeoples, people identifying as 2SLGBTQI+,veterans,and people with disabilities.