lyft · Marketing Analytics
Toronto, CanadaOnsite
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Pulled from the employer's career page. Always verify details at the source before applying.
Work location
Role read
A quick read on what this posting appears to emphasize, based on the employer description and role fields.
Worth noticing
Website / CRO
“… efficient queries on large data sets Experience in Experimentation and A/B testing is preferred Experience in …”
Experimentation cadence and on-site conversion live here.
Marketing ops / analytics
“… thrive. We are looking to hire a Marketing Analytics Lead to join our Marketing Analytics team. …”
Systems ownership and reporting usually anchor this work.
Looker
“… Proficiency in a data visualization tool like Tableau, Looker …”
SQL
“… within marketing or a related field. Proficiency in SQL - able to write structured and efficient …”
Queries against the data warehouse show up in this listing's stack.
A/B testing
“… to write structured and efficient queries on large data sets Experience in Experimentation and A/B test …”
Clarify before applying
Experimentation ownership
Who owns experimentation and analytics implementation day-to-day?
Where this comes from
Every line below is grounded in the actual posting or in the title, role fields, and seniority tags. Snippets are quoted verbatim; the source tag tells you which part of the listing they came from.
Channels mentioned
… efficient queries on large data sets Experience in Experimentation and A/B testing is preferred Experience in …
Why it matters here: Experimentation cadence and on-site conversion live here.
… thrive. We are looking to hire a Marketing Analytics Lead to join our Marketing Analytics team. …
Why it matters here: Systems ownership and reporting usually anchor this work.
Tools mentioned
… Proficiency in a data visualization tool like Tableau, Looker …
Growth stack
Use this posting to prepare
Each subsection below is grounded in something the posting or the role fields actually say. Use them as prompts — not as finished resume copy.
Step 1
Terms in the actual posting. Use these only where they match your real experience.
Compare
Live openings that share a specialty, seniority, work mode, or channel mix with this role. Different companies are favored over same-company roles so the comparison is genuinely useful.
| Role | Company | Specialty | Work mode | Why similar |
|---|---|---|---|---|
| Marketing Analytics Lead New York City, NY; San Francisco, CA | Faire | Marketing Analytics | Onsite |
|
| Marketing Analytics Lead New York City | range |
lyft
lyft has 10 other live roles on this site right now across 4 different role categories. The list below shows what they’re hiring for alongside this posting.
Original employer description
Reproduced verbatim from the employer. Verify everything in this brief against the source text below.
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.
We are looking to hire a Marketing Analytics Lead to join our Marketing Analytics team. This role is for a hands-on analyst who is passionate about telling stories with data, tackling complex problems, and directly influencing marketing strategy through rigorous analysis.
You will be supporting the Product Marketing team with strategic analysis and measuring campaign impact. In addition to informing strategy, you will navigate the Marketing and Product worlds to understand how marketing efforts shape downstream product engagement and customer behavior. The ideal candidate has a background in strategic analysis and prior experience leveraging data and insights to develop strategy, measuring marketing campaign performance, and connecting marketing & product work to business impact.
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.
More to explore
… within marketing or a related field. Proficiency in SQL - able to write structured and efficient …
Why it matters here: Queries against the data warehouse show up in this listing's stack.
Success metrics mentioned
… to write structured and efficient queries on large data sets Experience in Experimentation and A/B test …
… Experience in Marketing Models like Multi-Media Modeling / Attribution Modeling is a plus Advanced proficiency in …
Cross-functional partners mentioned
… team. This role is for a hands-on analyst who is passionate about telling stories with data …
Step 2
Worth raising before applying or in the first recruiter conversation.
01Who owns landing page testing, analytics implementation, and shipping decisions?
Why ask this: Triggered when CRO, experimentation, or website signals appear. Triggered by the posting’s mention of website / cro signals.
02Which systems and attribution models are considered the source of truth?
Why ask this: Triggered when marketing ops, attribution, or analytics tooling is named. Triggered by the posting’s mention of marketing ops / analytics tooling.
03What's the team's experimentation cadence and how are winning experiments shipped?
Why ask this: Triggered when A/B testing or experimentation language appears. Triggered by the posting’s mention of experimentation / a/b test signals.
04How is the ICP / persona work structured between product marketing and sales?
Why ask this: Triggered when product marketing or sales enablement signals appear. Triggered by the posting’s mention of product marketing / enablement signals.
Step 3
Each angle below starts from a real signal in the posting. The phrase “if this reflects your real experience” matters — don’t invent experience you don’t have.
Angle 01
Marketing ops angle
If this reflects your real background, emphasize: systems ownership (CRM, CDP, automation), data quality, attribution, and reporting, and stakeholder workflows and dashboards
Why we suggest this: posting mentions marketing ops / analytics and attribution.
Angle 02
Web / CRO angle
If this reflects your real background, emphasize: experimentation cadence and analytics, on-site conversion wins, and collaboration with design and product teams
Why we suggest this: posting mentions website / cro.
Angle 03
Analytics / reporting angle
If this reflects your real background, emphasize: data warehouse access and tooling stack, metric definitions and reporting cadence, and attribution and forecasting accuracy
Why we suggest this: posting mentions looker and attribution.
Keyword stuffing, fabricated bullets, or borrowed metrics tend to backfire in the first screen. Use these as a checklist, not a script.
| Marketing Analytics |
| Onsite |
|
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| Marketing Analytics Analyst Hyderabad, Telangana, India | redwoodsoftware | Marketing Analytics | Onsite |
|
Up to two reason chips per row; the strongest match is shown first.
Apply before August 21, 2026.