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Afternoon Data Analyst R Programming Jobs in 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 ...

To support this mission, we're growing our Engineering Insights team and investing in a scalable data analytics and insights platform. We're looking for a Data Engineer who enjoys building reliable ...

Translate product analysis into technical specifications in collaboration with business analysts ... data engineering work

Join BRP's central Data & Analytics team (DNA) as a Data Scientist and bring your analytical skills ... MSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering ...

New

Join BRP's central Data & Analytics team (DNA) as a Data Scientist and bring your analytical skills ... MSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering ...

Join BRP's central Data & Analytics team (DNA) as a Data Scientist and bring your analytical skills ... Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG ...

Join BRP's central Data & Analytics team (DNA) as a Data Scientist and bring your analytical skills ... MSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering ...

New

Showing results 41-60

Afternoon Data Analyst R Programming information

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are the most commonly searched types of Data Analyst R Programming jobs in Montreal, QC? The most popular types of Data Analyst R Programming jobs in Montreal, QC are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Montreal, QC? For Afternoon Data Analyst R Programming jobs in Montreal, QC, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Montreal, QC look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Montreal, QC are:

Global Logistics Data & Digital Transformation Analyst

Caeus

Montreal, QC • On-site

Full-time

Retirement

Posted 9 days ago


Job description

Job Description

At CAE, our Manufacturing experts turn visionary designs into reality, building world-class simulators for our Civil Aviation and Defense & Security divisions.

From assembly and testing to final production, every step contributes to delivering high-value, globally recognized products.

By joining our team, you will play a key role in improving processes, tools and systems to support operational performance and ensure product quality and reliability.

Are you passionate about your field? Are you looking for an environment where you can innovate, automate processes and collaborate across teams? CAE offers the ideal setting to grow your expertise and make an impact.

Position Summary

The Global Logistics Data & Digital Transformation Analyst is responsible for driving data analytics, digitalization, automation, business intelligence, and continuous improvement initiatives across the Global Logistics organization.

The role supports Global international Logistics, Transportation Operations, Trade Compliance, and Logistics Planning functions through the development of dashboards, KPI reporting, automation tools, and AI-enabled solutions that improve visibility, decision-making, operational efficiency, and customer service.

The successful candidate will play a key role in transforming Global Logistics into a data-driven organization by leveraging technology, analytics, automation, and continuous improvement methodologies.

Key Responsibilities

  • Develop and maintain Power BI dashboards, KPI scorecards, and executive reporting solutions supporting Global Logistics operations.

  • Analyze logistics, transportation, customs, and operational data to provide actionable insights, performance visibility, and recommendations to management.

  • Design, develop, and automate reporting solutions and business processes using Microsoft Power Platform tools, including Power BI, Power Automate, and Copilot.

  • Support digital transformation, automation, and AI initiatives to improve operational efficiency, productivity, visibility, and decision-making.

  • Support the evaluation, implementation, and optimization of logistics technologies, analytics platforms, and future Transportation Management Systems (TMS).

  • Drive Continuous Improvement initiatives through process mapping, workflow optimization, standardization, root cause analysis, documentation, and benefits tracking.

  • Collaborate with Export Logistics, Import Logistics, Traffic Operations, Trade Compliance, and Logistics Planning teams to develop data-driven solutions, maintain reporting governance, support strategic projects, and enhance operational performance.

Minimum Qualifications

  • Bachelor's degree in supply chain, Logistics, Business Analytics, Engineering, Information Technology, Business Administration, or a related field.

  • Minimum 5 years of experience in data analytics, digital transformation, business intelligence, process automation, continuous improvement, or supply chain/logistics analytics.

  • Demonstrated experience developing dashboards, KPIs, executive reports, and performance scorecards.

  • Experience implementing automation, digitalization, and process improvement initiatives.

  • Experience using AI tools and technologies to improve reporting, analytics, and business processes.

  • Experience in logistics, transportation, customs, supply chain, or operational environments is strongly preferred.

  • Power BI (dashboard development and KPI reporting)

  • Power Automate

  • Advanced Microsoft Excel

  • Data analysis and visualization

  • Process mapping and continuous improvement

  • Microsoft 365 Suite

Preferred Qualifications

  • Python

  • SQL

  • ERP systems (Oracle or similar)

  • TMS

  • Experience with AI tools such as Microsoft Copilot, or AI-based automation solutions

  • Experience developing digital solutions, workflow automation, or business intelligence tools

  • Strong analytical and problem-solving skills

  • Excellent verbal and written communication skills

  • Continuous improvement mindset

  • Proactive and results-oriented approach

  • Strong organizational and time-management skills

  • Ability to work independently and manage multiple priorities

  • Strong collaboration and teamwork skills

  • Customer-focused mindset

  • Adaptability and willingness to embrace change

  • Ability to translate business requirements into digital and data-driven solutions

  • Strong presentation and stakeholder management skills

Benefits

  • Group Insurance

  • Telemedicine

  • Employee and Family Assistance Program

  • Employee Stock Purchase Plan

  • Group RRSP

  • CAE Pension Plan/Defined Benefit Plan

  • Sabbatical Leave

  • Flex Time

  • Enhanced Parental Leave

With over 10,000employees in more than 35countries, CAE is a global leader in training for the civil aviation, defence and security, and healthcare markets. To learn more: www.cae.com

About CAE

At CAE, our mission is clear: to help make the world a safer place. For nearly 80 years, we've driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success.

Position TypeTemporary (Fixed Term)Equal Opportunity & Accommodations

CAE is committed to providing equal opportunities to all applicants, regardless of race, nationality, color, religion, sex, gender identity or expression, sexual orientation, disability, neurodiversity, veteran status, age, or other characteristics protected by law. We encourage applicants who may not meet every qualification to apply. Reasonable accommodations are available-contact your recruiter or email CAECarrieres-Careers@cae.com if needed.

Data Privacy

Privacy Statement | CAE

As part of our process, we may use AIsupported tools to help review applications, with human decisionmaking at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.