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Data Analyst Python Sql Jobs in Montreal, QC (NOW HIRING)

Broadsign Careers

Data Analyst

Montreal, QC · Hybrid

Strong experience with SQL and business intelligence tools like Looker or Tableau. You should be ... in Python and have experience with Snowflake and AWS platforms. Experience with software ...

Artefact

Sr Data Analyst

Montreal, QC · On-site

Actively contribute to the expertise and competencies of the Data & Analytics team and work closely ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

Bounteous

Data Engineer

Montreal, QC

Strong knowledge of SQL for reporting and data analysis * Have Worked in Agile, DevOps and Git * 3-5 years of experience with Python for ETL and report generation * Perform of data validation and ...

Andritz

HSE Data Analyst

Pointe-claire, QC · Hybrid

Knowledge of SQL, databases, or data automation tools * Familiarity with incident management or HSE software systems * Strong analytical and statistical skills Working Conditions Office-based ...

Td

Data Scientist II

Montreal, QC · On-site

CA$81K - CA$115K/yr

Develop scalable analytics solutions using Python, SQL, PySpark and PowerBI within cloud environments (Azure Databricks and enterprise data platforms) * Build curated datasets, automated pipelines ...

Zurich Insurance Group

Data Platform Lead

Montreal, QC · On-site

... Python and SQL. o Support data architecture evolution to enable efficient ML and GenAI workloads. o Apply strong data modeling and analytics engineering practices to support downstream ML use cases.

Amber

Senior Data Analyst (Project Based)

Montreal, QC · On-site +1

SQL knowledge and experience in reporting * Data analytics and statistics courses and diplomas * Knowledge or previous experience of the Gaming industry * Knowledge of Jira, Confluence and SharePoint ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Montreal, QC

Data Analyst Python Sql information

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Montreal, QC? For Data Analyst Python Sql jobs in Montreal, QC, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Montreal, QC look for? The top searched job categories for Data Analyst Python Sql jobs in Montreal, QC are:
Data Analyst Python Sql jobs near you

Stagiaire en Genie Logiciel - Developpeur (Python, SQL)

SOGECLAIR

Montreal, QC • On-site

Other

Posted 24 days ago

Job description

LES TACHES QUE VOUS ALLEZ ACCOMPLIR

Nous recherchons un ou une etudiante en genie logiciel avec de solides competences en programmation Python, une experience avec les bases de donnees SQL et une exposition au developpement d'interfaces utilisateur. Le stagiaire travaillera directement avec l'equipe d'ingenierie des contraintes pour developper des outils permettant de centraliser les donnees, automatiser les livrables et effectuer des taches de controle qualite, en mettant l'accent sur les solutions logicielles.

  • Concevoir et developper des algorithmes pour optimiser la centralisation et l'automatisation des donnees.
  • Travailler avec des bases de donnees SQL pour le stockage, l'organisation et l'optimisation des requetes.
  • Developper des interfaces conviviales pour simplifier les workflows.
  • Contribuer a la creation d'outils pour le controle qualite et la detection des erreurs.
  • Collaborer directement avec l'equipe d'ingenierie des contraintes pour comprendre les besoins specifiques et proposer des solutions.
  • Documenter le code, les processus et les workflows.

TASKS YOU WILL ACCOMPLISH

We are looking for a Software Engineering student with strong programming skills in Python, experience with SQL databases, and exposure to UI development. The intern will work directly with the stress engineering team to help develop tools to centralize data, automate deliverables, and perform quality control tasks, focusing on software-based solutions.

  • Design and develop algorithms to optimize data centralization and automation processes.
  • Work with SQL databases for data storage, organization, and query optimization.
  • Develop user-friendly interfaces to streamline workflows.
  • Assist in building tools for quality control and error detection.
  • Collaborate directly with the stress engineering team to understand requirements and provide solutions.
  • Document code, processes, and workflows.

Requirements

 VOTRE PROFIL EST ESSENTIEL A NOTRE REUSSITE

Qualifications :

  • Inscrit a un programme de genie logiciel ou equivalent.
  • Bonnes competences en programmation Python et familiarite avec la gestion des donnees.
  • Connaissances des bases de donnees SQL.
  • Experience dans le developpement d'interfaces utilisateur.
  • Esprit analytique et capacite a resoudre des problemes.
  • Excellentes competences en communication et travail d'equipe.

Competences Appreciees :

  • Experience avec les plateformes cloud ou les API.
  • Experience prealable sur des projets d'automatisation ou d'outils de controle qualite.
  • Comprehension des workflows techniques ou systemes de donnees d'ingenierie.


Notre processus recrutement :

Un rapide entretien telephonique de pre-qualification

Un entretien technique et RH

Un second entretien technique (Optionnel)

Bienvenue a bord !

 Le Groupe SOGECLAIR valorise la diversite et l'inclusion et considere ces elements comme etant essentiels a sa performance. Nous nous engageons a recruter sans discrimination.

YOUR PROFILE IS ESSENTIAL TO OUR SUCCESS

Qualifications:

  • Enrolled in a Software Engineering or related program.
  • Strong programming skills in Python and familiarity with data management.
  • Proficiency in working with SQL databases.
  • Experience with UI development tools and techniques.
  • Analytical and problem-solving mindset.
  • Strong communication and teamwork abilities.

Preferred Skills:

  • Experience with cloud platforms or APIs.
  • Prior experience with data automation projects or quality control tools.
  • Understanding of engineering workflows or technical data systems.

Our recruitment process:

A quick pre-qualification phone interview

A technical and HR interview

A second technical interview (optional)

Welcome aboard!

SOGECLAIR promotes diversity and inclusion as part of essential elements of its performance and is committed to recruiting without discrimination.

Benefits

SOGECLAIR DIGITAL ENGINEERING consolide et developpe les projets d'ingenierie au sein du groupe, se caracterisant par une diversite de domaines d'expertise. En tant qu'entreprise a dimension humaine, SOGECLAIR et ses equipes d'experts, offrent de multiples competences en ingenierie mecanique, allant des phases de recherche et developpement jusqu'aux supports en services.

Nos expertises : aerostructure et installation de systemes, amenagements de cabine d'interieurs d'avions, industrialisation, gestion de configuration, conseil en management et en operations, performance des produits et procedes, transformation numerique, excellence operationnelle et transition environnementale.

Nous rejoindre : https://sogeclair.com/fr/rejoignez-nous

SOGECLAIR DIGITAL ENGINEERING strengthens and develops engineering projects within the group, characterized by a diversity of expertise areas. As a human-scale company, SOGECLAIR and its expert teams offer a wide range of mechanical engineering skills, from R&D phases to service support.

Our expertise: aerostructures and systems installation, aircraft cabin interiors, industrialization, configuration management, management and operations consulting, product and process performance, digital transformation, operational excellence and environmental transition.

Join us: https://sogeclair.com/en/joins-us

*Permis agence de placement de personnel : AP-2000454

*Permis agence de recrutement de travailleurs etrangers temporaires : AR-2000453

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