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Data Analyst Data Science Jobs in Vancouver, BC (NOW HIRING)

Data Analyst

Vancouver, BC · On-site +1

CA$65K - CA$85K/yr

We design immersive, in-the-moment research programs, pair them with smart data science and dynamic ... analysis outputs across different survey methods and designs. * Plan and prioritize work in ClickUp ...

Title and Summary Director, Data Science Overview The Security Solutions Data Science team is ... and analytical systems using modern data and cloud platforms such as Databricks and Sparks.

The Data Analyst utilizes their quantitative analytical skills and scientific thought process to interpret and analyze large sets of complex data, while extracting meaningful insights for Kabam. This ...

Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, or a ... Proven analytical and problem-solving abilities, with the capability to work independently on ...

Data Analyst - Burnaby, BC

Burnaby, BC · Hybrid

CA$80K - CA$95K/yr

You work within a cross-functional product team, with support from product owners, business analysts, data engineers and data scientists where needed. You will also support the business in the ...

... Science portfolio. This includes helping build the foundational data assets, profiling logic, analytical workflows, and machine learning approaches needed to better understand merchant behavior ...

Data Analyst, ReBIRD

Vancouver, BC · Hybrid

CA$71K - CA$93K/yr

As the Data Analyst, ReBIRD, your expertise in analysis and data-driven insights supports key decisions on product service, repair, and long-term strategy. Reporting to the Senior Data Analyst ...

Data Scientist III

Vancouver, BC · Hybrid

CA$107K - CA$132K/yr

Stay current with emerging technologies and best practices in data science, machine learning, and industrial analytics. Qualifications * Master's or PhD in Data Science, Computer Science, Statistics ...

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

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Showing results 1-20

Data Analyst Data Science information

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Vancouver, BC?

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

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

The top searched job categories for Data Analyst Data Science jobs in Vancouver, BC are:

Infographic showing various Data Analyst Data Science job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Analyst

Vancouver, BC • On-site, Remote

Reach3 Insights
Marketing Research • 51 - 200 employees

CA$65K - CA$85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Location: Vancouver / Toronto / Remote in Canada    |    Employment Type: Full-time   |   
Reports to: Senior Data Analyst, Team Lead

Reporting to Senior Data Analyst, Team Lead, we're looking for a curious and collaborative Data Analyst (Survey Tabulations) to join Reach3 Insights. In this role, you'll help turn survey data into accurate, decision-ready cross-tabulations, working with smart, kind people who love turning human insights into clear stories, stronger decisions, and better customer experiences.

This role is open to candidates based in Canada, with a remote working model designed to support connection, focused work, and real life outside of work.

About Reach3 Insights

Reach3 Insights is a full-service research consultancy that helps modern brands move faster and get closer to their customers through mobile-first, conversational research. We design immersive, in-the-moment research programs, pair them with smart data science and dynamic storytelling, and turn insight into action.

As part of Rival Group - alongside Rival Technologies and Angus Reid - we're helping transform the insights industry through AI-accelerated, messaging-based conversational insights. Our work reaches consumers and business audiences in ways that feel fresh, human, and genuinely useful.

We work with ambitious teams and global brands, and we take the work seriously without taking ourselves too seriously. You'll find a team that values trust, curiosity, ownership, creativity, and having a good time while doing meaningful work.

What you'll own

  • Produce accurate, well-formatted cross-tabulations from survey data using WinCross, SPSS, Microsoft Excel, and other relevant tools; review questionnaires and tabulation plans, clarify requirements, and deliver accurate outputs.
  • Complete rigorous quality checks on survey data and tables, investigate discrepancies, collaborate to resolve issues, and advise researchers on how to structure and interpret analysis outputs across different survey methods and designs.
  • Plan and prioritize work in ClickUp, track output, and improve turnaround time, accuracy, and productivity by testing AI and emerging tools, recommending process improvements, supporting new tool rollouts, and maintaining training and process documentation.

What you bring

  • At least 2 years of professional experience preparing, transforming, and tabulating market research survey data, plus a university or college degree or graduate certificate in market research, analytics, statistics, economics, social sciences, or another field involving research methods and data analysis.
  • Hands-on proficiency with SPSS and WinCross, strong Microsoft Excel skills, and experience working with survey datasets and producing cross-tabulations.
  • Clear, concise written and verbal communication skills, with a collaborative approach when working with local and remote teammates and research stakeholders.
  • A proactive, curious approach to change and ambiguity, with the judgment to test new ideas responsibly, evaluate their impact, and continuously improve data analysis workflows.
  • The ability to prioritize high-impact work, manage competing deadlines, stay organized, and consistently deliver accurate, high-quality outputs in a fast-moving environment.
  • Accountability for goals and deliverables, with the ability to work independently, collaborate effectively as part of a team, and bring a positive, solutions-oriented mindset as priorities evolve.

Nice to have

  • Familiarity with questionnaires, table specifications, banners, filters, and weighting is an asset.
  • Experience working in market research or public opinion research is preferred.

Why Reach3 for your next career adventure?

At Reach3, how we work matters just as much as what we deliver. We're building a place where people can do meaningful work, grow their careers, partner with great clients, and enjoy the humans they work with along the way.

Fair compensation: We're committed to pay equity and fair pay practices. The salary range for this role is $65,000 to $85,000, with final compensation based on skills, experience, and internal equity.

  • Home office, internet, and cellphone stipends
  • Retirement savings with employer matching
  • Parental leave top-up

Flexibility and time off: Flexible ways of working, home office support, and comprehensive paid time off so you can recharge and do your best work.

  • Hybrid or remote working model, depending on role and location
  • Comprehensive paid time off
  • Volunteer and professional development days

Health and wellness: Benefits that support the whole human, not just the employee.

  • Competitive health, vision, and dental benefits
  • Health spending account
  • Generous sick, personal, and mental health days
  • Additional health benefits with Canada Life

Our values

Our values guide how we work together, make decisions, and show up for customers and each other:

  • Courage
  • Results
  • Energy
  • Kinship

The not-so-fine print

You must be eligible to work in Canada to be considered for this role. At Reach3, we value the unique qualities and experiences each candidate brings. We personally review every application and do not use AI or automated systems to screen or filter resumes.

If you don't see yourself fully reflected in every requirement above, we still encourage you to apply. Research shows that people from underrepresented groups often apply only when they feel 100% qualified. We're proud to be an equal opportunity workplace committed to building a team culture that celebrates diversity, inclusion, and belonging.

Reach3 provides equal employment opportunities to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

We're also committed to an accessible work environment and inclusive employment practices. If you require accommodation at any point in the selection process, please email peopleteam@rivalgroup.io.

Please note that, given our security and compliance certifications, final applicants may be required to undergo a background check. No recruiters and no phone calls, please.