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

Slrconsulting

Environmental Data Manager

Calgary, AB

CA$70K - CA$90K/yr

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

United Airlines

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 ...

Canadian Natural

Cloud Data Developer

Calgary, AB

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 ...

Carbon60

Sr. Data Engineer

Calgary, AB · On-site

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 ...

OpsGuru

Sr. Data Engineer

Calgary, AB · On-site +1

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 ...

Kyndryl

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 ...

Data Theorem

iOS Engineer, App Analysis

Calgary, AB · Remote

Data Theorem is an exciting company focused on creating a more secure world for data. Rooted in a ... Some experience writing tools in Python. * Bonus points: experience with taking apart iOS software ...

Miratech

Google DialogFlow Engineer (Python)

Calgary, AB · On-site +1

... 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 ...

WCB Alberta

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 ...

TELUS

L4 Technical Professional

Calgary, AB

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 ...

Cenovus

Senior Analyst, Market Analytics

Calgary, AB · On-site

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 ...

South Bow

Crude Oil Trading Analyst

Calgary, AB · On-site

Develop, maintain, and manage excel models that translate trading data from the ETRM system into ... Support the migration of Excel/query-based models into Python and R. * Aggregate and manage large ...

Miratech

Senior Data Engineer

Calgary, AB · On-site +1

The engineer works closely with IVR Engineers, Application Architects, DevOps, and Data Analytics ... Strong Python (or Golang/Java/Scala) * Knowledge of Git/GitHub, CI/CD, IaC (CloudFormation ...

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

Senior Data & Analytics Engineer - Proactive Assurance

TELUS

Calgary, AB

Other

Posted 13 days ago

TELUS rating

8.0

Company rating: 8.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

19th of 76 rated telecommunications companies

Job description

Description

Join our team

This is an exciting opportunity to join the Proactive Assurance Team within Consumer Products and Services. We are a dynamic, fast-paced, and entrepreneurial team driven to delight our customers with proactive solutions affecting Internet, TV and Home Security customers across Canada. We are the destination of choice for team members that enjoy solving complex problems in a fast paced environment that have a large impact on our Customers.

You will join a team supporting highly visible proactive programs and owning the heart of the operation that orchestrates our digital messaging. Strong leadership and communication skills is key to this role as we manage over 40 active campaigns on track for 2 million digital interactions this year.

What you'll do

As a Data management team member on the Proactive Assurance team within Consumer Products and Services, you will play a pivotal role in owning the operations and orchestration of our daily campaign operations. Our ability to monitor the health of our program, as well as priming our reporting dashboards lies in your hands! Your ability to coordinate between campaign leaders, key stakeholders and technical teams will be essential in ensuring the successful execution of projects that deliver tangible value to the organization. You will leverage your expertise in data science, data engineering, telecom infrastructure and home networking to provide insights that increase operational efficiency and drive continuous improvement, ultimately realizing value for TELUS.

  • Manage the day to day operations of all proactive campaigns including our refresh, validation and filtering process, ensuring our messages (SMS, RCS, e-mail or push notifications) are successful every day
  • Push to enhance our digital mediums - how we engage our customers -> own the roadmap, delivery and execution through close partnership with key stakeholders
  • Lead the development and maintenance of data analytics dashboards for the Proactive Assurance
  • Own our metrics! Churn, dispatch rates, customer engagement, customer interventions, proactive reach are just a few
  • Data engineer pipelines to clean data and prepare for visualization
  • Access telemetry data from our network elements and analyze the customer impact of those metrics.
  • Partner with Data Science to development, validation, and deployment of AI/ML models for proactive support of customers experiencing network issues
  • Use exceptional SQL skills to integrate data across many systems
  • Create actionable insights and reports to support strategic decision-making
Qualifications

What you bring
 

  • Advanced expertise in data analytics and visualization tools (Tableau, Looker, Carto)
  • Using AI tools to analyze and present data (Claude, Gemini, ChatGPT, ..)
  • Advanced expertise using SQL
  • Experience with spatial SQL (Big Query, Postgre)
  • Experience building data procedures and scheduling and orchestrating data pipelines
  • Expertise in programming languages (Python)
  • Experience in Data Architecture and Data Warehousing
  • Strong understanding of telecom network and home networking
  • Knowledge of cloud platforms (Google Cloud, AWS, Azure)
  • Experience with source control (GitHub)
  • Experience with AI/ML model development and deployment
  • Strong project management and stakeholder communication skills
  • Advanced degree in Data Science, Computer Science, or related field

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