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Afternoon Data Analyst R Programming Jobs in Vancouver, BC

Targeted Talent

Senior Data Scientist

Vancouver, BC · Remote

... 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 ...

Targeted Talent

Senior Data Scientist

Vancouver, BC · Remote

... 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 ...

Dutch

Lead Data/Analytics Engineer

Vancouver, BC · On-site +1

The Role We're looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You'll run the event instrumentation pipeline, build the models and metrics layers that ...

Pattison Food Group

Data Engineer 1

Langley, BC · On-site

CA$85K - CA$106K/yr

Reporting to the Manager, Data & Analytics, you will be responsible for working with one of the ... Experience in other programming languages such as Java, Scala, or C++ is a plus * Expertise in SQL

Evismart

Data Solutions Engineer

Vancouver, BC · On-site

Deliver - A written brief for engineering: where labs hit friction during mapping, what's causing ... Proficiency in Python for data analysis and workflow automation. * Experience with ETL/ELT ...

Remitly

Data Scientist II

Burnaby, BC · On-site

CA$128K - CA$144K/yr

... engineers to ensure features are well-integrated and optimized for production models You Have: * 3 or more years of experience using SQL and Python or R for exploratory data analysis, statistical ...

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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 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 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 most commonly searched types of Data Analyst R Programming jobs in Vancouver, BC?

The most popular types of Data Analyst R Programming jobs in Vancouver, BC are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Vancouver, BC?

For Afternoon Data Analyst R Programming jobs in Vancouver, BC, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Vancouver, BC look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Vancouver, BC are:

Infographic showing various Afternoon Data Analyst R Programming job openings in Vancouver, BC as of September 2026, with employment types broken down into 87% Full Time, 4% Part Time, 4% Temporary, and 5% Contract. Highlights an 77% In-person, 2% Hybrid, and 21% Remote job distribution.

Senior Data Scientist

North Vancouver, BC • Remote

Targeted Talent
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Targeted Talentexternal

Full-time

Re-posted 14 days ago

Job description

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver

You Have:

  • 3 - 5+ Years experience 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 (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB)
  • Strong experience with big data services like Spark, Kafka, Rabbit
  • Experience working with Startups are considered a bonus
  • Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

  • Remote + flexible work schedule
  • North of six figures salary + Equity + Health Spending Account (it's competitive)
  • Amazing opportunity for career progression to lead
  • Amazing mentorship (seriously)
  • Plenty of vacay
It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

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About Targeted Talent

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Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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