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Analytics Engineer Data Analyst Jobs in Ontario (NOW HIRING)

Experience: * 1-3 years of experience in a high growth environment in data and/or financial analytics. * Very strong attention to detail, experience developing processes to remove human error.

CA$1 - CA$11/hr

Experience gathering and analyzing business requirements and identifying opportunities for process improvement and automation * Ability to assess data quality, data flows, reporting needs, and ...

New

Experience gathering and analyzing business requirements and identifying opportunities for process improvement and automation\n \n * Ability to assess data quality, data flows, reporting needs, and ...

New

The Manager, Data Analyst supports the Canadian Technology Data Engineering team by delivering hands on analytics, reporting, and insights for priority initiatives. This role focuses on translating ...

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

... analytics and reporting solutions that enable clients to understand performance, identify opportunities, and make confident business decisions. You work closely with consultants, data engineers ...

Ability to analyze business requirements and current state processes to produce IT requirements ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Collaborate with data engineers to design performance analysis reports spanning rider user-experience, driver user-experience, marketing, operating efficiency, and unit economics. Review the ...

The Data & Analytics Analyst enables data-driven decision-making across the organization by transforming complex data into meaningful insights and performance reporting. The role is responsible for ...

New

The Sr. Data Analyst is responsible for acting as Single Family Operations' primary data analyst and report developer for Single Family Operations. This role involves collaborating closely with ...

The Sr. Data Analyst is responsible for acting as Single Family Operations' primary data analyst and report developer for Single Family Operations. This role involves collaborating closely with ...

Showing results 41-60

Analytics Engineer Data Analyst information

What is the difference between Analytics Engineer Data Analyst vs Data Scientist?

AspectAnalytics Engineer Data AnalystData Scientist
CredentialsBachelor's in Data, Analytics, or related fields; certifications like SQL, Excel, TableauBachelor's or higher in Data Science, Statistics, or Computer Science; often includes Python, R certifications
Work EnvironmentBusiness teams, data warehouses, reporting toolsResearch, modeling, advanced analytics, machine learning environments
Employer & Industry UsageFinance, marketing, retail, tech companies focusing on data reportingTech, healthcare, finance, research institutions focusing on predictive modeling

While both roles work with data, Analytics Engineers Data Analysts focus on data collection, cleaning, and reporting to support business decisions. Data Scientists develop models and algorithms for predictive insights. The roles complement each other but differ in technical depth and focus areas.

What do analytics engineer data analysts do?

Analytics engineer data analysts collect, process, and analyze data to help organizations make informed decisions. They often work with tools like SQL, Python, or data visualization software and focus on building reliable data pipelines and reports. Their role combines technical skills with business understanding to deliver actionable insights.

What cities in Ontario are hiring for Analytics Engineer Data Analyst jobs?

Cities in Ontario with the most Analytics Engineer Data Analyst job openings:

Infographic showing various Analytics Engineer Data Analyst job openings in Ontario as of June 2026, with employment types broken down into 3% As Needed, 89% Full Time, and 8% Part Time. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Analyst

Toronto, ON • On-site

Lyft
Ground Public Transportation • 5 - 10K employees

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 16 days ago


Lyft rating

7.3

Company rating: 7.3 out of 10

Based on 34 frontline employees who took The Breakroom Quiz


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. 

The Driver Earnings team at Lyft is responsible for managing our suite of driver earnings products, driving top business goals around financial metrics and marketplace performance. The team develops and improves automation & execution of driver earnings products, develops new earnings products, and manages financial performance of these products to manage the growth of the business. 

We are looking for an analyst to join the team that is responsible for working with cross-functional stakeholders to analyze and improve existing earnings products and manage the products' financial outcomes within the broader Marketplace organization. You will influence existing and future strategy with your data analysis, insights, and storytelling to deliver strategic recommendations on experimentation and product improvements. We're looking for a data & process-driven individual who has extraordinary attention to detail and a track record of analytical problem-solving.

Responsibilities:
  • Support marketplace operations to provide world-class analysis, product recommendations, and reporting to stakeholders.
  • Become an expert in marketplace trends and support weekly reporting structures for the Rideshare organization.
  • Develop domain-specific subject matter expertise in our lever portfolio and support cross-functional initiatives to improve existing products and develop new ones.
  • Analyze marketplace product & financial levers and provide cross-functional teams with actionable insights on improvements and problem areas.
  • Operate within Rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities.
  • Prepare regular business reviews for leadership, highlighting key areas of focus.
  • Work with stakeholders and other teams to track, report, and reconcile budget allocation across marketplace programs.
  • Analyze data, conduct research and synthesize feedback into plans, processes and playbooks.
Experience:
  • 1-3 years of experience in a high growth environment in data and/or financial analytics.
  • Very strong attention to detail, experience developing processes to remove human error.
  • Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions.
  • Outcome-driven approach to developing recommendations and demonstrated ability to develop a story and execution plan to support our goals and objectives.
  • Exceptional communication (listening, written, and oral) skills with the ability to present findings and recommendations targeted to the audience in question.
  • A drive to understand the core issues along with the determination to uncover the solution.
  • Excels at dealing with ambiguity and change management.
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 $83,800 CAD - $104,750 CAD, 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 is a new position.


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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

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