Markham, On Dataset program manager Jobs – 122 Openings This Week

Data Analyst, People Analytics
Lyft —Toronto, ON
- $90,000–$112,500 a year
- Hybrid work
- SQL
- Analysis skills
- Presentation skills
- Commuter benefits
- Dental care
Senior Data Engineer
Samsara —Toronto, ON
- $135,575–$159,500 a year
- Remote
- Azure
- Computer Science
- Master's degree
Data Science Manager, Rider Experience
Lyft —Toronto, ON
- $172,000–$215,000 a year
- Hybrid work
- Management
- Doctoral degree
- Computer Science
- Commuter benefits
- Dental care
Senior Software Engineer, Organizations
Okta —Toronto, ON
- $136,000–$187,000 a year
- Hybrid work
- Azure
- Schematics
- CAD
- Dental care
- Paid time off
Bioinformatics Analyst
DNAstack —Toronto, ON
- $100,000–$150,000 a year
- Full-time
- Remote
- Azure
- Engineering
- Laboratory experience
- Dental care
- Vision care
Quick apply
Analytics Lead, SCC
Lyft —Toronto, ON
- $96,000–$120,000 a year
- Hybrid work
- SQL
- Analysis skills
- Python
- Commuter benefits
- Dental care
1d
Applied Data Scientist, Finance AI Evaluation & Datasets
Innodata Inc. —Toronto, ON
- $210,000–$245,000 a year
- Call to connect
- Remote
- Master's degree
- SQL
- No university degree
Quick apply
5d
Business Information Architect
Genetec —Toronto, ON
- Full-time
- Remote
- Computer science
- Computer Science
- Master's degree
- Tuition reimbursement
Quick apply
Senior Software Engineer (Python + Distributed systems)
Scribd, Inc. —Toronto, ON
- $146,500–$228,000 a year
- Full-time
- Computer Science
- AWS
- Bachelor's
- Disability insurance
- Dental care
Software Engineer II (AI Integration)
TD Bank —Toronto, ON
- $96,000–$115,200 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Paid time off
23h
Engineer, AI & Software Testing
Magna International —Toronto, ON
- $95,000–$145,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Quick apply
Software Engineer III (AI Integration)
TD Bank —Toronto, ON
- $125,500–$154,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Paid time off
23h
IT Auditor
GFL Environmental —Vaughan, ON
- Computer Science
- ERP systems
- AWS
- Profit sharing
- Wellness program
Staff Software Engineer Data - DC Tech Lead
Afresh —Toronto, ON
- $148,000–$242,000 a year
- Full-time
- Remote
- SQL
- Communication skills
- Python
- Dental care
- Paid time off
Data Quality Engineer-Cards Engineering, Transactional Services and Data Services Engineering
Scotiabank —Scarborough, ON
- Azure
- Computer Science
- DevOps
- Tuition reimbursement
Senior Back End Engineer (Data Platform)
Forma.ai —Toronto, ON
- $150,000–$190,000 a year
- Java
- Databases
- SQL
- Disability insurance
- Dental care
Quick apply
Staff Back End Engineer (Data Platform)
Forma.ai —Toronto, ON
- Java
- Databases
- SQL
- Disability insurance
- Dental care
Quick apply
Senior Manager, Commercial Strategy
AutoTrader.ca —Toronto, ON
- $140,000–$180,000 a year
- Microsoft Powerpoint
- Microsoft Excel
- Finance
- Employee assistance program
8d

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Data Analyst, People Analytics

Lyft -
Toronto, ON

Apply Now

Job details

$90,000–$112,500 a year

Qualifications

ATS
Tableau
Qualtrics
SQL
Analysis skills
Presentation skills
Workday
Analytics

Full 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 People Analytics team at Lyft exists to build data trust — turning people data into clear, reliable insights that help our HR Business Partners, talent leaders, and executives make better decisions. We're a small, high-impact team in the middle of a meaningful BI transformation: we recently moved to ThoughtSpot as our primary analytics platform, and we're not just replicating old dashboards — we're rethinking what self-service analytics looks like for a People team. That includes exploring ThoughtSpot's AI capabilities to surface proactive insights, enable natural language querying, and reduce the friction between a business question and a data answer. There's real greenfield work here, and we're looking for someone who wants to help define what AI-powered people analytics looks like at Lyft.

We're looking for a Data Analyst to join our People Analytics team, based in Toronto. You'll report to the Senior Manager, People Analytics and serve as the first point of contact for incoming data requests across the People organization — triaging, scoping, and delivering on analytical needs ranging from quick ad-hoc pulls to fully built ThoughtSpot dashboards.

This role is well-timed: you'll be joining as we complete our migration from Tableau to ThoughtSpot, which means you'll have genuine influence over how we build our reporting layer and push into ThoughtSpot's AI features — think natural language search, AI-generated insights, and proactive anomaly detection applied to people data. This isn't a "maintain the dashboard" role. It's a chance to help build something new. You'll be a self-starter who is equally comfortable writing SQL and presenting findings to a VP.

Responsibilities:

Serve as the first point of contact for incoming data requests from across the People organization — scoping needs, setting expectations, and delivering high-quality analytical outputs
Build and maintain ThoughtSpot dashboards and liveboards for a broad stakeholder audience including recruiters, People Team members, HRBPs, managers, and executives
Explore and operationalize ThoughtSpot's AI capabilities — including Spotter and AI Highlights — to surface proactive insights for People stakeholders who may not know what question to ask yet
Build and administer survey programs in Qualtrics — including survey design, distribution logic, and close-out — and translate results into dashboards and ad-hoc analyses that inform People team decisions
Partner with Talent and People team leads to define key metrics and help them tell meaningful stories with their data
Translate analytical findings into clear, actionable insights for both People leadership and senior executives
Communicate fluently across technical and non-technical audiences — from SQL-level data discussions to exec-facing summaries
Collaborate with systems and operations partners to improve upstream data quality and enable better downstream analytics
Pull together ad-hoc datasets from disparate sources to answer discrete analytical questions quickly and accurately

Experience:

4+ years of experience in data or business analytics
3+ years of SQL experience, with comfort pulling from complex, multi-source data environments
Experience with ThoughtSpot or a comparable modern BI platform; enthusiasm for AI-assisted analytics and a curiosity about what those tools unlock for people data specifically
Familiarity with Workday or a comparable HCM (understanding the business processes and data model, not just surface-level reporting)
Familiarity with Greenhouse or a comparable ATS preferred
Experience with Qualtrics or a comparable survey platform, including hands-on program administration and the ability to move from raw survey data to a clean, stakeholder-ready analysis
Experience building and maintaining analytical models that others rely on
Understanding of the nuances of people and recruiting data — org structures, headcount definitions, privacy considerations, and the ways these datasets can surprise you

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 $90,000 - CAD $112,500, 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.

Apply Now

Refine Your Search

dataset program manager jobs in markham, on

Data Analyst, People Analytics

Senior Data Engineer

Data Science Manager, Rider Experience

Senior Software Engineer, Organizations

Bioinformatics Analyst

Analytics Lead, SCC

Applied Data Scientist, Finance AI Evaluation & Datasets

Business Information Architect

Senior Software Engineer (Python + Distributed systems)

Software Engineer II (AI Integration)

Engineer, AI & Software Testing

Software Engineer III (AI Integration)

IT Auditor

Staff Software Engineer Data - DC Tech Lead

Data Quality Engineer-Cards Engineering, Transactional Services and Data Services Engineering

Senior Back End Engineer (Data Platform)

Staff Back End Engineer (Data Platform)

Senior Manager, Commercial Strategy

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