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Weekend Python Data Analyst Jobs in Alberta (NOW HIRING)

Data Scientist

Calgary, AB · Hybrid

CA$131K - CA$150K/yr

We're looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity ... Experience in developing analysis in Python and experience with relevant ML libraries 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 ...

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 ...

This is a hands-on, AWS-native engineering role for someone who lives in the details of large-scale analytical data: tuning Redshift and Athena, writing production Python, and squeezing performance ...

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 ...

We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible ... Strong proficiency in Python and SQL * Experience with data patterns for AI/LLM systems: retrieval ...

Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation ... Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, ...

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Weekend Python Data Analyst information

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 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 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:

Data Engineer - Spark, Databricks & Snowflake (Energy) - DESDSAS

NavitasPartners

Leduc, AB • On-site

$30/hr

Other

Posted 21 days ago


Job description

Job Title : Data Engineer - Spark, Databricks & Snowflake (Energy)Industry

Energy & Utilities

Position Overview

We are seeking an experienced Data Engineer to design, build, and optimize large-scale data platforms supporting operational, customer, asset, and energy market analytics. The ideal candidate will have strong expertise in Databricks, Spark, Snowflake, and cloud-based data engineering solutions.

Responsibilities
  • Develop scalable ETL/ELT pipelines using Spark and Databricks.
  • Build enterprise data solutions on Snowflake.
  • Integrate data from SCADA, IoT sensors, smart meters, ERP, CRM, and trading systems.
  • Design batch and real-time data ingestion frameworks.
  • Optimize data performance, reliability, and scalability.
  • Implement data quality and monitoring processes.
  • Support predictive maintenance and asset performance analytics initiatives.
Required Skills
  • Apache Spark (PySpark, Spark SQL)
  • Databricks
  • Snowflake
  • Python, SQL
  • Azure Data Factory, AWS Glue, or GCP Dataflow
  • Kafka/Event Streaming
  • Delta Lake
  • CI/CD and DevOps practices
Preferred Skills
  • Smart Grid Analytics
  • Energy Trading Data
  • Renewable Energy Operations
  • IoT and Time-Series Data Management
Mandatory Experience
  • 5+ years of Data Engineering experience.
  • Must have prior experience working within the Energy, Utilities, Oil & Gas, Renewable Energy, or Energy Trading sector.


For more details reach at resumes@navitassols.com