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Data Analyst R Programming Jobs in British Columbia

Statistical Analyst

Vancouver, BC

CA$6.25K - CA$8.99K/mo

Create, maintain and improve R Shiny/Power BI-based data visualization dashboards * Liaise and ... The data analyst will also be directly supervised by senior scientists on the study. The data ...

New

Data Labeler

Vancouver, BC · Remote

CA$40K - CA$50K/yr

... and analytics solutions. We securely capture and preserve the communications data of the world ... Collaborating with data scientists and developers on the data generation initiative * Providing and ...

Proficiency and knowledgeable with analytics and visualization tools such as Power BI, Python, R ... Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ...

... Programming Focus) to join our team for the May 2026 semester (May - August 2026). In this role ... Analyze existing SAS programs to understand business logic, statistical methods, data ...

We are SLR Consulting (Canada), an 800+ team of advisory, environmental/engineering, and regulatory ... Experience in environmental field sampling, chemistry, analytical data validation, groundwater ...

We don't just analyse data, we push the boundaries of what's possible, helping clients unlock new ... Interest in statistical programming, workflow automation, code modernization, and practical ...

Data Scientist

Vancouver, BC

CA$7.62K - CA$11.89K/mo

Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Statistical Analysis, Level B ... Excellent programming experience (e.g., Python, R, Java, JavaScript, C#, C++) * Excellent knowledge ...

New

... 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 ...

... 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 ...

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Data Analyst R Programming information

See British Columbia salary details

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How much do data analyst r programming jobs pay per hour?

As of May 30, 2026, the average hourly pay for data analyst r programming in British Columbia is $39.49, according to ZipRecruiter salary data. Most workers in this role earn between $31.49 and $45.91 per hour, depending on experience, location, and employer.

What is a Data Analyst R Programming job?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are the key skills and qualifications needed to thrive in the Data Analyst R Programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What are typical projects or daily tasks for a Data Analyst specializing in R Programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.
What are popular job titles related to Data Analyst R Programming jobs in British Columbia? For Data Analyst R Programming jobs in British Columbia, the most frequently searched job titles are:
What job categories do people searching Data Analyst R Programming jobs in British Columbia look for? The top searched job categories for Data Analyst R Programming jobs in British Columbia are:

Senior Marketing Data Analyst

AfterShip

Vancouver, BC • On-site

Other

Medical, Retirement, PTO

Posted 13 days ago


Job description

About Us

AfterShip, a Great Place to Work Certified company, is transforming the global eCommerce landscape. Founded in 2012, AfterShip is a post-purchase SaaS company on a mission to build the world's leading automation platform for ecommerce merchants.

AfterShip unifies shipping & labels, order tracking, AI predictive delivery, and returns management into one system - giving merchants a single place to manage and automate everything that happens after checkout. By centralizing these workflows, AfterShip enables merchants to reduce customer support inquiries, deliver a more reliable and engaging customer experiences, and unlock incremental revenue at every post-purchase touchpoint.

AfterShip integrates seamlessly with eCommerce platforms including Shopify and TikTok Shop, and connects with more than 1,200 carriers worldwide. Today, over 20,000 businesses-including Samsung, Gymshark, Mejuri, Dr. Squatch and Alo Yoga-rely on AfterShip to turn every post-purchase moment into an opportunity to build trust, reduce costs, and drive repeat purchases.

Built for a global market from day one, AfterShip operates with an engineering-driven, internationally distributed team. The company employs more than 450 people across 8 offices, spanning North America, Europe, and Asia, and representing over 20 cities worldwide.

Your Mission: 

We're looking for a Senior Marketing Data Analyst to turn complex data into actionable growth strategies. This role goes beyond reporting. It's about understanding customer behaviour, optimizing marketing spend, and improving performance across channels.

You will act as the analytical engine of the marketing team, translating data into insights that drive decision-making. You'll optimize campaign performance, improve customer acquisition cost (CAC), and maximize lifetime value (LTV), while owning the source of truth for marketing performance.

You'll work cross-functionally to drive impact across the business:

  • Product Marketing Manager (PMM): Partner closely to assess product-market fit, analyze feature adoption, evaluate pricing, and measure go-to-market performance
  • Marketing (Brand, Content, Social): Quantify top-of-funnel impact and connect brand efforts to conversion outcomes
  • Sales/CRM: Support lead scoring and retention optimization
  • Finance: Align marketing spend with revenue performance and LTV 

You'll report to the Data Analyst Manager and be part of the Data Engineering pod. This role may require collaboration across global teams outside of standard working hours 2-3 times per week.

What You'll Do: 

  • Brand & Content Attribution: Work with the Marketing Team to build frameworks that measure the halo effect of brand campaigns and content marketing on organic growth and direct traffic.
  • Funnel Optimization: Analyze the end-to-end customer journey-from the first touchpoint seen by the Marketing team to the final conversion event tracked by Product-to identify and fix leakage points.
  • Audience Segmentation: Develop sophisticated customer segments based on behavioral data to help PMMs and Creative teams tailor their messaging for higher resonance.
  • GTM & Launch Analytics: Partner with Product Marketing to define KPIs for new feature launches and track post-launch adoption rates to refine target personas.
  • Data Infrastructure: Lead the initial setup and optimization of our marketing data warehouse. You will partner with engineering to ensure data from various sources (Ads, CRM, Product) is flowing, transformed, and ready for analysis.
  • Holistic Reporting: Maintain a centralized "Marketing Source of Truth" dashboard that balances performance marketing (CAC/ROAS) with brand health and product engagement metrics.

Who We're Looking For:

  • Experience: 7+ years in marketing analytics, growth analytics, or data science (preferably in a B2B SaaS or high-growth B2C environment).
  • Toolbox: Proficiency in visualization tools (Tableau), web analytics platforms (GA4, Heap, or Amplitude), CRM system (HubSpot) and SQL.
  • Statistical Foundation: A solid grasp of statistical concepts (regression, $p$-values, confidence intervals) and how they apply to marketing spend.
  • The Entrepreneurial Builder: You thrive in "zero-to-one" environments. You aren't looking for a perfectly polished data stack; you're excited by the opportunity to roll up your sleeves, architect the data warehouse from the ground up, and define the metrics that will govern our future.
  • A "High-Agency" Operator: When you see a gap in our data or a flaw in our tracking, you don't wait for a ticket to be assigned. You own the solution. You are comfortable navigating ambiguity and can pivot quickly as our business scales. 
  • The Full-Stack Thinker: You possess the rare ability to switch between "Builder Mode" (setting up pipelines, ETLs, and data schemas) and "Insight Mode" (advising PMMs on GTM strategy). You understand that great analysis is only possible on a foundation of clean, reliable data.
  • Language Skills: Fluency in English (required), fluency in Mandarin a plus

At AfterShip, we know great talent doesn't always fit every requirement. If you're passionate about our mission and believe you can make an impact, we encourage you to apply.

Why You Should Join Us: 

  • Great Place to Work Certified: We've been recognized for our inclusive, values-driven culture that celebrates diversity and collaboration.
  • Innovative & Inclusive Culture: Started by our software engineer-turned-CEO, AfterShip is built on curiosity, creativity, and collaboration. We're a passionate, global team of problem solvers who put egos aside to innovate together. We take immense pride in fostering a culture that's inclusive, which has allowed us to surround ourselves with the industry's most talented professionals.
  • Ambitious Mission with Real Impact: Join us in transforming eCommerce by making buying and selling easier for everyone. It's one of the most dynamic spaces in tech, with limitless opportunities to innovate and grow.
  • Thrive & Grow: There's no ceiling to what you can achieve or learn here. We're committed to empowering your career while advancing together as a company.
  • Flexible Work Setup: We're a remote-first team, meaning by default that employees work from home or on a hybrid-flexible basis in our hub locations (i.e., Toronto, Austin, Barcelona). You're empowered to choose a work setup that works best for you and your team. With flexible hours depending on your time zone, you'll be able to have a schedule that fits your working style and the requirements of your role.

Perks:

  • Competitive compensation
  • Remote-first work setups
  • Healthcare coverage offered from day 1
  • Retirement plans including company match
  • Unlimited PTO
  • Annual learning & wellness benefit
  • Monthly book perk
  • Career progression & professional development
  • In-office lunch and commuter benefits for those located in our hub locations

Salary range for this role: CAD $141,000 - $165,000

We are an equal opportunity employer and provide accommodations upon request throughout the recruitment process, in accordance with local legislation. Please let us know if you require any support, and we'll work with you to meet your needs.

We believe in hiring right over hiring fast. While timelines may vary, we're looking to fill this role as soon as possible. 

Our hiring process uses AI to help with initial resume screening and to support interview note-taking. These tools help our team stay organized and fair, but all hiring decisions are made by people.

This job posting is for a new position.