1

Weekend Python Data Analyst Jobs in Calgary, AB (NOW HIRING)

Description The Opportunity We are looking for a proactive, growth-minded Senior Data Analyst / ML ... SQL (Expert), Python * Data Warehouse: Google BigQuery * Cloud Infrastructure: Google Cloud ...

Senior Data Analyst Olsen Consulting specializes in the implementation and optimization of ... SQL, Python, Azure and knowledge of web development frameworks such as Django and Flask ...

Senior Data Analyst Olsen Consulting specializes in the implementation and optimization of ... SQL, Python, Azure and knowledge of web development frameworks such as Django and Flask ...

Apply risk management systems and analytical tools (ETRM, Excel, Python, R) to build, validate, and maintain pricing models and data workflows. Query and integrate market data using SQL and data APIs ...

As Manager, Information Services, you'll lead a multidisciplinary team of data engineers, analysts ... Strong technical proficiency in SQL, Python, data modeling, and cloud environments (preferably ...

Clearly communicate technical analysis and results to stakeholders using data visualizations ... Expertise in Python data science libraries like Pandas, matplotlib, NumPy, and Scikit-Learn.

Proficiency and knowledgeable with analytics and visualization tools such as Power BI, Python, R, Alteryx, Microsoft PowerApps is preferred. * Knowledge of data extraction tools and utilities and ...

Write clean, efficient, and maintainable SQL and Python code to transform raw data into curated, analysis-ready datasets. * Build reliable transformation workflows that support analytics, reporting ...

Providing software development expertise to data science and analytics teams * Translating business ... Hands-on experience with Python data libraries and building solutions in AWS * Solid understanding ...

Develop data products, analytical models, automation tools, and applications using Python, R, Databricks, and modern data technologies * Deliver actionable insights to support decision-making across ...

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

... data analysis and modeling using Python. • Experience with databases and programming languages (SQL, Oracle, Hadoop, NoSQL) for data manipulation and integration. • Experience with cloud ML ...

next page

Showing results 1-20

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 Calgary, AB? The most popular types of Python Data Analyst jobs in Calgary, AB are:

Senior Data Analyst (L4)

TELUS

Calgary, AB • On-site

Other

Posted 3 days ago


TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

18th of 79 rated telecommunications companies


Job description

Description

The Opportunity

We are looking for a proactive, growth-minded Senior Data Analyst / ML Engineer with a minimum of 5 years of experience in analyzing high-volume data and delivering strategic insights. This is a unique "growth-track" role: you will start by mastering our data landscape through advanced dashboarding and telemetry analysis, then rapidly transition into building and maintaining the predictive models that drive our customer success.

If you are someone who isn't just looking for a ticket to solve, but wants to understand the why behind the numbers to proactively prevent customer issues, you'll fit right in.

The Roadmap

  • Phase 1 (Domain Mastery & KPI Strategy): You'll dive deep into our telemetry and customer profile data. You will define the Key Performance Indicators (KPIs) that matter most and build high-impact Tableau dashboards to track them
  • Phase 2 (ML Innovation & Production): Once you've mastered the domain, you will lead the transition into predictive modeling. You will own the feature engineering process and deploy models that proactively solve customer issues

What You'll Do

  • Dashboarding & Domain Learning: Initially, you will focus on building interactive and insightful Tableau dashboards. This is your foundation to learn our domain knowledge, understand customer behavior, and identify patterns in our telemetry data
  • Feature Engineering: Architect and transform raw telemetry and customer profile data into high-signal features. You will build the data pipelines that serve as the foundation for all ML initiatives
  • ML Development & Lifecycle Management: Develop and deploy ML models (churn prediction, anomaly detection, etc.). You are responsible for maintaining models in production, including setting up automated retraining pipelines to ensure accuracy as data evolves
  • Proactive Problem Solving: Use your technical expertise to identify potential customer friction points before they become issues, moving the company from a reactive to a proactive stance
  • KPI Development & Stakeholder Presentation: Collaborate with leaders to define critical business KPIs. You will act as a data storyteller, presenting key insights to executive stakeholders and translating complex ML/Data trends into clear, strategic recommendations
Qualifications

What You Bring

  • SQL Mastery: You write clean, efficient, and complex queries at an expert level. This is the core of how you interact with our data
  • BI & Dashboarding Expertise: Proficiency in Tableau, creating interactive dashboards that drive action and help you (and the team) rapidly acquire domain knowledge
  • GCP Ecosystem: Strong experience with Google Cloud Platform, specifically BigQuery and its integration with ML tools
  • ML Ops Experience: Practical experience managing the production lifecycle, monitoring, versioning, and ensuring timely model retraining
  • The "Proactive" Edge: A strong desire to learn the business domain and grow with the company. You don't wait for instructions; you identify opportunities and solve problems before they escalate
  • Excellent Communication Skills: A proven track record of analyzing high-volume data and presenting key findings to senior-level audiences. You can explain complex technical concepts to non-technical stakeholders with ease

Preferred Qualifications (Good to Have)

  • GCP Professional Machine Learning Engineer Certification
  • Working knowledge of leveraging Claude in the workflows
  • Experience with Google Vertex AI or Kubeflow for ML orchestration
  • Background in analyzing high-volume telemetry or IoT data

Technical Stack

  • Languages: SQL (Expert), Python
  • Data Warehouse: Google BigQuery
  • Cloud Infrastructure: Google Cloud Platform (GCP)
  • Visualization: Tableau, Looker, Etc
  • ML Tools: Scikit-learn, TensorFlow/PyTorch, Vertex AI (GCP) , Claude (Anthropic)