1

Python Analytics Jobs in Ontario (NOW HIRING)

Python (Analytics/Software Engineering) * LLM solution architecture & solution development (Generative AI / Azure OpenAI) * Time-Series Analytics (Analytics) * Real-time or near real-time streaming ...

Use advanced analytics tools and technical capabilities, including Python, Databricks, and SQL, to support data extraction, transformation, analysis, automation, and reporting needs. * Partner with ...

Use advanced analytics tools and technical capabilities, including Python, Databricks, and SQL, to support data extraction, transformation, analysis, automation, and reporting needs. * Partner with ...

Support the development and evaluation of predictive and machine learning models using Python or R * Analyze in-venue operational data to support KPIs related to attendance, staffing, throughput ...

next page

Showing results 1-20

Python Analytics information

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
What are popular job titles related to Python Analytics jobs in Ontario? For Python Analytics jobs in Ontario, the most frequently searched job titles are:
Infographic showing various Python Analytics job openings in Ontario as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Programmeur(euse) FullStack Angular / Python - Azure

TEHORA

Ottawa, ON

Full-time

Re-posted 10 days ago


Job description

TEHORA est presentement a la recherche d'un(e) programmeur(euse) FullStack Angular / Python ayant d'excellentes aptitudes techniques, d'excellentes connaissances et qui souhaite mettre a profit ses competences au sein d'une equipe polyvalente. Le mandat vise l'evolution d'une plateforme applicative infonuagique, en environnement Agile / DevOps.

Sans etre exhaustifs, voici les services et livrables que devra fournir la personne retenue :

  • Developper et maintenir des interfaces utilisateur en Angular et TypeScript;
  • Concevoir, developper et maintenir des services BackEnd en Python 3.11 ou version ulterieure;
  • Participer a l'evolution de microservices, d'API REST et de composants applicatifs;
  • Contribuer a l'integration de services dans un environnement Azure;
  • Realiser les essais unitaires, essais integres et corrections d'anomalies;
  • Contribuer aux pipelines CI/CD et a l'amelioration continue des pratiques DevOps;
  • Documenter les composants developpes et soutenir le transfert de connaissances;
  • Collaborer avec une equipe multidisciplinaire en mode Agile.

Requirements

  • Minimum 7 ans d'experience en ressources informationnelles;
  • Minimum 1 an d'experience en infonuagique;
  • Minimum 5 ans d'experience en developpement Angular;
  • Minimum 5 ans d'experience en developpement Python, idealement Python 3.11 ou version ulterieure;
  • Experience recente dans un projet de developpement ou de maintenance d'une plateforme applicative;
  • Bonne capacite d'analyse, d'autonomie et de communication avec les equipes techniques et fonctionnelles;
  • Angular, TypeScript, HTML, CSS;
  • Python, API REST, architecture microservices;
  • Git ou outil de versionnage equivalent;
  • Tests unitaires, tests integres et bonnes pratiques de developpement securise;
  • CI/CD, DevOps et travail en contexte Agile;
  • Azure Functions, Azure API Management, Azure Service Bus;
  • Azure Application Insights, Azure B2C / MSAL, Azure Key Vault;
  • Cosmos DB, MongoDB, Neo4j ou autre base NoSQL / graphe;
  • OpenSearch, Elasticsearch ou moteur de recherche distribue comparable;
  • Bicep, ARM, Terraform ou Infrastructure as Code;
  • Experience avec FastAPI ou framework Python comparable;
  • Mandat de longue duree, principalement en teletravail;

Benefits

  • Du teletravail et de la flexibilite pour s'adapter a vos obligations familiales
  • Une culture entrepreneuriale favorisant la creativite et l'innovation
  • Horaires flexibles (selon le type de contrat de travail)
  • Conges en cas de maladie et a l'occasion d'evenements familiaux
  • Outils informatiques adaptes
  • Espace de travail epanouissant et motivant
  • Initiatives sociales et environnementales
  • Programme d'apprentissage en milieu de travail
  • Cheminement de carriere
SALAIRE

Le salaire sera calcule sur la base du taux horaire moyen correspondant a votre profil.

LIEU DE TRAVAIL

Le lieu de travail sera Teletravail.

POURQUOI SE JOINDRE A TEHORA ?

TEHORA est une firme quebecoise multidisciplinaire reconnue pour l'excellence de ses services professionnels, de nature technique et de gestion de projets a l'echelle nationale et internationale. Notre mission est d'accompagner nos clients dans la concretisation de leurs projets par l'excellence de notre savoir-faire et de notre creativite.

Depuis sa creation en 2017, notre equipe de professionnels connait une croissance exponentielle en repondant aux besoins importants en gestion de projets multidisciplinaires, dans le domaine des transports, du genie civil, du TI et plus.

Nos collaborateurs travaillent sur des mandats aussi bien a l'interne que chez des clients d'envergure.

TEHORA se distingue par sa culture d'entreprise, axee sur le bonheur de ses employes et la diversite.

Chez TEHORA, chaque collaborateur est un membre important de l'equipe qui contribue a notre succes collectif. Nos membres ont la flexibilite requise pour avoir un equilibre entre le travail et leur vie privee, tout en menant une carriere enrichissante.

Nous offrons un environnement de travail motivant. La diversite des projets, la grande autonomie et l'interaction directe avec les clients sont appreciees. Une telle proximite est possible en raison de notre structure organisationnelle horizontale, qui se traduit par des relations de confiance et une communication efficace entre notre equipe et les clients.