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Afternoon Data Analyst R Programming Jobs in Montreal, QC

Aerospace OPM/Aftermarket experience. * MBA or higher in data analysis. * Programming or electronic tool-building skills (Python). * Knowledge of Six Sigma and lean manufacturing. Work Environment ...

... working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational ...

... working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational ...

Data Engineer

Montreal, QC ยท On-site +1

CA$80 - CA$85/hr

Snowflake DBT Microsoft SQL Server Power BI Git Fluent in various programming languages such as ... fulfill analysts and data scientists requirements Experience in data profiling Experience in ...

Data Science, Data Engineering, Data Architecture, and Data Analytics . You are simultaneously the architect of the data factory and the director ensuring it delivers high-value outputs to the ...

... working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational ...

... working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational ...

Showing results 21-40

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:

Senior Data Analytics Consultant / Consultante principale en analytique de donnees

New York Holdings

Montreal, QC โ€ข Remote

Contractor

Re-posted 28 days ago


Job description

(FRENCH VERSION BELOW)

The Role

We're looking for a Senior Data Analytics Consultant who can bring clarity to complexity.

Our clients have no shortage of data. They have websites generating traffic, ad campaigns running across multiple platforms, CRMs collecting customer information, and dashboards that may or may not be telling the full story. What they need is someone who can connect the dots, build reliable measurement frameworks, and turn fragmented information into decision-making tools.

This is not a reporting role.

We're looking for someone who understands the entire analytics ecosystem-from data collection and governance to dashboard design and business insights. Someone who can audit a setup, identify what's missing, implement the right tracking structure, and build reporting environments that clients actually use.

You'll work alongside strategists, marketers, account teams, developers, and client stakeholders to create analytics infrastructures that are accurate, scalable, and easy to understand. Some engagements will involve building systems from scratch; others will require untangling years of accumulated technical debt.

This is a freelance consulting role with recurring project opportunities. Some mandates will be strategic and advisory in nature; others will require hands-on implementation across analytics, reporting, and data management platforms.

What You'll Own

  • Analytics Architecture: You design and implement measurement frameworks that provide a reliable foundation for reporting and decision-making.
  • Tracking & Data Collection: You audit, configure, and maintain analytics implementations across websites and digital properties, ensuring data is collected accurately and consistently.
  • Dashboard Development: You build dashboards that surface meaningful insights, not just metrics. Reports should help clients understand performance, identify opportunities, and make informed decisions.
  • Platform Integration: You connect data sources across analytics, advertising, CRM, and marketing platforms to create unified reporting environments.
  • Data Governance: You establish naming conventions, documentation standards, tracking plans, and processes that keep data clean and trustworthy over time.
  • Analytics Consulting: You help clients understand what they're measuring, why it matters, and where opportunities exist to improve performance.
  • Technical Troubleshooting: You identify gaps, inconsistencies, and implementation issues before they become reporting problems.
  • Internal Collaboration: You work closely with developers, strategists, marketers, and project teams to ensure analytics requirements are considered throughout the lifecycle of a project.

Must-Haves

  • Demonstrated experience designing and implementing analytics solutions for websites, marketing campaigns, and digital products
  • Advanced experience with Google Analytics 4 (GA4)
  • Strong expertise in Looker Studio and dashboard development
  • Experience integrating data from advertising platforms, CRM systems, marketing automation platforms, and other business tools
  • Strong understanding of event tracking, conversion measurement, attribution, and reporting methodologies
  • Experience conducting analytics audits and translating findings into actionable recommendations
  • Ability to communicate technical concepts to non-technical stakeholders
  • Strong attention to detail and commitment to data accuracy
  • Comfortable working independently and providing strategic recommendations directly to clients

Nice-to-Haves

  • Experience with Google Tag Manager (GTM)
  • Experience with BigQuery and data warehousing environments
  • Knowledge of SQL and data transformation workflows
  • Experience integrating platforms such as HubSpot, Salesforce, Meta Ads, Google Ads, LinkedIn Ads, Shopify, or similar ecosystems
  • Experience building executive-level dashboards and KPI frameworks
  • Agency or consulting experience working across multiple clients and industries

What Success Looks Like

  • Clients trust their data because you've eliminated uncertainty around how it's collected, organized, and reported.
  • Dashboards become decision-making tools, not screenshots people glance at once a month.
  • Stakeholders can answer important business questions without digging through multiple platforms.
  • Tracking issues are identified before they impact reporting.
  • Data sources that once lived in silos are connected and working together.
  • Analytics setups are documented, scalable, and easy for teams to maintain.
  • Clients understand not only what happened, but why it happened and what to do next.
  • When a new campaign, platform, or website launches, measurement is already part of the plan-not an afterthought.

Engagement Details

  • Freelance / contract-based
  • Project-based engagements with potential for recurring consulting work
  • Remote-friendly
  • Flexible workload based on project requirements
  • Availability for occasional discovery sessions, audits, implementation projects, and ongoing analytics support

___________________________________________

Le role

Nous sommes a la recherche d'une consultante principale en analytique de donnees capable d'apporter de la clarte a la complexite.

Nos clients ne manquent pas de donnees. Ils ont des sites web qui generent du trafic, des campagnes publicitaires deployees sur plusieurs plateformes, des CRM qui accumulent de l'information client, et des tableaux de bord qui ne racontent pas toujours toute l'histoire. Ce dont ils ont besoin, c'est de quelqu'un capable de relier les points, de batir des structures de mesure fiables et de transformer des donnees dispersees en outils d'aide a la decision.

Ce n'est pas un role de production de rapports.

Nous recherchons une personne qui comprend l'ensemble de l'ecosysteme analytique, de la collecte des donnees a leur gouvernance, en passant par la conception de tableaux de bord et l'interpretation des resultats. Quelqu'un capable d'auditer un environnement existant, d'identifier les lacunes, de mettre en place les bons mecanismes de suivi et de construire des systemes de reporting que les clients utiliseront reellement.

Vous travaillerez aux cotes de strateges, specialistes marketing, developpeurs, gestionnaires de comptes et parties prenantes chez les clients afin de creer des infrastructures analytiques fiables, evolutives et faciles a comprendre. Certains mandats consisteront a batir des environnements a partir de zero; d'autres necessiteront de demeler des annees d'accumulation de dette technique et de pratiques disparates.

Il s'agit d'un role de consultante pigiste offrant des opportunites recurrentes de collaboration. Certains mandats seront davantage strategiques et consultatifs; d'autres necessiteront une implication directe dans l'implantation de solutions analytiques, de tableaux de bord et de processus de gestion des donnees.

Responsabilites

  • Architecture analytique : Vous concevez et mettez en place des cadres de mesure qui servent de fondation fiable a l'analyse de performance et a la prise de decision.
  • Collecte et suivi des donnees : Vous auditez, configurez et maintenez les implantations analytiques sur les sites web et proprietes numeriques afin d'assurer une collecte de donnees precise et coherente.
  • Developpement de tableaux de bord : Vous creez des tableaux de bord qui mettent en lumiere des informations utiles, et non seulement des metriques. Les rapports doivent aider les clients a comprendre leur performance, identifier des opportunites et prendre de meilleures decisions.
  • Integration des plateformes : Vous connectez les differentes sources de donnees provenant des outils analytiques, plateformes publicitaires, CRM et solutions marketing afin de creer des environnements de reporting unifies.
  • Gouvernance des donnees : Vous mettez en place des conventions de nomenclature, des plans de marquage, de la documentation et des processus qui assurent la qualite et la perennite des donnees.
  • Conseil en analytique : Vous accompagnez les clients dans la comprehension de leurs donnees, de leurs indicateurs de performance et des opportunites d'optimisation.
  • Resolution de problemes techniques : Vous identifiez les incoherences, erreurs de suivi et problemes d'implantation avant qu'ils n'affectent les rapports ou les decisions d'affaires.
  • Collaboration interne : Vous travaillez etroitement avec les developpeurs, strateges, specialistes marketing et equipes projets afin que les besoins analytiques soient pris en compte des le depart.

Profil recherche

  • Experience demontree dans la conception et l'implantation de solutions analytiques pour des sites web, campagnes marketing et produits numeriques
  • Expertise avancee de Google Analytics 4 (GA4)
  • Solide experience avec Looker Studio et la conception de tableaux de bord
  • Experience dans l'integration de donnees provenant de plateformes publicitaires, CRM, outils d'automatisation marketing et autres systemes d'affaires
  • Excellente comprehension du suivi des evenements, de la mesure des conversions, de l'attribution et des methodologies de reporting
  • Experience en audit analytique et capacite a transformer les constats en recommandations concretes
  • Capacite a vulgariser des concepts techniques aupres d'intervenants non techniques
  • Souci du detail et engagement envers l'exactitude des donnees
  • Autonomie et aisance a formuler des recommandations strategiques directement aupres des clients

Atouts

  • Experience avec Google Tag Manager (GTM)
  • Experience avec BigQuery ou des environnements d'entreposage de donnees
  • Connaissance du SQL et des processus de transformation de donnees
  • Experience avec des plateformes telles que HubSpot, Salesforce, Meta Ads, Google Ads, LinkedIn Ads, Shopify ou des ecosystemes similaires
  • Experience dans la creation de tableaux de bord executifs et de cadres de mesure de performance
  • Experience en agence ou en consultation aupres de multiples clients et secteurs d'activite

Indicateur de reussite

  • Les clients ont confiance en leurs donnees parce que vous avez elimine l'incertitude entourant leur collecte, leur organisation et leur interpretation.
  • Les tableaux de bord deviennent de veritables outils d'aide a la decision, et non des rapports consultes une fois par mois avant d'etre oublies.
  • Les parties prenantes peuvent repondre a des questions d'affaires importantes sans devoir naviguer entre plusieurs plateformes.
  • Les problemes de suivi sont detectes avant qu'ils n'affectent les resultats.
  • Des sources de donnees auparavant isolees fonctionnent desormais ensemble dans un environnement coherent.
  • Les infrastructures analytiques sont documentees, evolutives et faciles a maintenir.
  • Les clients comprennent non seulement ce qui s'est produit, mais aussi pourquoi cela s'est produit et quelles actions entreprendre ensuite.
  • Lorsqu'un nouveau site, une nouvelle campagne ou une nouvelle plateforme est lance, la mesure de performance fait deja partie du plan plutot que d'etre ajoutee a la derniere minute.

Modalites de collaboration

  • Contrat pigiste / travail a la pige
  • Mandats ponctuels avec possibilite de collaboration recurrente
  • Teletravail
  • Charge de travail flexible selon les besoins des projets
  • Disponibilite pour des ateliers de decouverte, audits, projets d'implantation et accompagnement analytique continu
Employment Type: CONTRACTOR