1

Data Analyst R Programming Jobs in Ontario (NOW HIRING)

You will partner with a wide range of stakeholders - Operations, Business, Finance, Product, Data Science, Engineering and many others. This role will report into the Senior Analytics Manager within ...

The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in ... The Data Analyst analyzes current business processes and oversees the integration and ...

New

Strong analytical and problem solving skills with the ability to break down high-level data into easily communicated information * 2+ years of experience with Python, SQL or other programming ...

Strong analytical and problem solving skills with the ability to break down high-level data into easily communicated information * 2+ years of experience with Python, SQL or other programming ...

Strong analytical and problem solving skills with the ability to break down high-level data into easily communicated information * 2+ years of experience with Python, SQL or other programming ...

Strong analytical and problem solving skills with the ability to break down high-level data into easily communicated information * 2+ years of experience with Python, SQL or other programming ...

Proven experience as a Data Analyst or Data Engineer in a financial or consulting environment. * Strong proficiency in SQL, Snowflake, Databricks, and Python (pandas, NumPy). * Solid understanding of ...

Posted today

Proven experience as a Data Analyst or Data Engineer in a financial or consulting workplace. * Solid proficiency in SQL, Snowflake, Databricks, and Python (pandas, NumPy). * Solid understanding of ...

Posted today

next page

Showing results 1-20

Data Analyst R Programming information

See Ontario salary details

$12

$39

$70

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

As of Jul 8, 2026, the average hourly pay for data analyst r programming in Ontario 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 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 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 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 Ontario? For Data Analyst R Programming jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Analyst R Programming jobs in Ontario look for? The top searched job categories for Data Analyst R Programming jobs in Ontario are:
Infographic showing various Data Analyst R Programming job openings in Ontario as of July 2026, with employment types broken down into 5% Internship, 90% Full Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,141 per year, or $39.5 per hour.
Data Analyst, Autonomous Vehicles

Data Analyst, Autonomous Vehicles

Lyft

Toronto, ON • On-site

Other

Medical, Dental, Life, Retirement, PTO

Re-posted 23 days ago


Lyft rating

7.4

Company rating: 7.4 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

2nd of 9 rated taxi private hire


Job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft stands at the very center of autonomous vehicle (AV) innovation by uniting the operational power of comprehensive Fleet Management with our world-class Rideshare network. Through Flexdrive, we are revolutionizing transportation by building the operational backbone for AV fleets- pioneering this new chapter with our first AV depot in Nashville, Tennessee. Lyft brings the autonomous future to life by matching our community of riders with self-driving vehicles to meet their transportation needs. 

To strengthen our efforts, we are hiring a Data Analyst to help us make data driven decisions. As a Data Analyst in the autonomous space, this role will uniquely be exposed to both AV Depot Operations and the AV Rideshare network. As we build the future of mobility from the ground up, we are looking for a strong thought leader and executor who is passionate about driving data driven decisions and energized by solving complex problems. You will partner with a wide range of stakeholders - Operations, Business, Finance, Product, Data Science, Engineering and many others. This role will report into the Senior Analytics Manager within Lyft's Global Growth Org with opportunities for senior leadership visibility.

The ideal candidate -  You have strong technical skills, are team-driven and have a growth mindset. You can roll-up your sleeves to undertake large cross functional projects. You are comfortable navigating the ambiguity of innovative projects and operate effectively in fast-paced environments. The Autonomous industry excites you and you are looking for the chance to drive high impact projects in this space as Lyft engineers next-generation transportation.

Responsibilities:
  • Leverage technical skills to build reports, dashboards and tools for stakeholders
  • Develop insights through analysis to build informed narratives, deliver strategic recommendations and provide actionable guidance that optimizes business performance
  • Work with external partners to communicate data needs that enable success in tracking toward critical service levels and manage incoming data requests
  • Work with business and leadership to define critical KPIs and metrics to support cross-functional teams, manage performance, create operational rigor and proactively seek ways to improve the business
  • Ability to engage with FP&A partners on P&L Management and financial modeling
  • Bridge Operations with Tech - become an expert in the vehicle lifecycle, from the day-to-day Fleet Operations that keep AV fleets running smoothly to the tech that transports riders from point A to B 
  • Take full ownership in solving complex problems with data and rally stakeholders to implement solutions
  • Define processes and streamline the operational cadence for business performance tracking
  • Comfortable leading meetings, packaging work and presenting in large forums
Experience:
  • Bachelor's degree in a relevant field
  • 3-5 years of experience with a mix of business analytics in a high growth or complex business, investment banking with strong analytical exposure and/or role at a top-tier consulting firm
  • Deep understanding of complex data models, BI methodologies, data architecture principles and metadata
  • Proficient in SQL and working with raw data sets. (Python or other programming languages is a huge plus.)
  • Proven success in driving influence within the business
  • Ability to operate successfully in a lean, fast-paced organization and proactively thrive in ambiguous environments
  • Outstanding interpersonal and stakeholder management skills with a proven ability to work cross functionally & effectively with individual contributors, management, and leadership across the organization
  • Operationally-focused, process-oriented, data-driven, and simply able to get stuff done
  • Strong communication skills with the ability to package findings & technical concepts for leadership consumption
  • Previous experience in P&L involvement and/or Mobility or Auto-Tech industry is a huge plus
Benefits:
  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • Access to a Lyft funded Health Care Savings Account
  • RRSP plan with company match to help save for your future
  • In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
  • Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
  • Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $96,000 - CAD $120,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.


What Lyft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Lyft logo

About Lyft

Sourced by ZipRecruiter

At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Industry

Ground public transportation

Company size

5,001 - 10,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

Social media