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Senior Financial Data Analyst (Manager)

Lyft Open · verified Oct 23, 2026
Toronto Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at Lyft. Toronto · CA$122,000–CA$152,000 base.

SalaryStated by Lyft
CA$122,000 – CA$152,000
Base salary for this role, in CAD per year, as published in the posting.
This role, from LyftOur estimate for the market: CA$100,875–CA$119,500Median CA$110,000
Above the market median of CA$110,000 for senior data analysis & BI roles in Toronto.
Worked out from 39 postings that stated pay, median CA$110,000. Last updated Oct 22, 2026.
RoleData Analysis & BI
SenioritySenior
LocationToronto
Base payCA$122,000–CA$152,000
PostedJul 21, 2026 · 3mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Run tax, airport, audit and other RTB reports, keeping them accurate, complete and dependable in daily operations
  • Manage entry- and mid-level analysts, including hiring, performance feedback and career development
  • Turn reporting steps into reusable documentation, checklists and playbooks that reduce reactive work
  • Bring reports stabilized by Finance Data Products into recurring RTB operations and automate manual reporting tasks
  • Lead cross-team RTB initiatives, manage stakeholder relationships and address reporting risks and gaps

What you bring

  • A BA or BS plus at least five years in finance, accounting, business, consulting or analytics
  • At least five years using advanced SQL to query and analyze large, complex datasets
  • Formal people-management experience covering hiring, performance reviews and career development
  • Experience owning recurring, high-stakes reporting and building scalable workflows or automation

Who this fits

This role suits a senior analyst who can lead a small team while remaining hands-on with financial reporting and process improvement. The role is hybrid in Toronto, with office attendance required at least three days weekly on Mondays, Wednesdays and Thursdays; up to four weeks per year may be worked from anywhere.

From the employer

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 is hiring a Senior Financial Data Analyst to lead the Reporting sub-team within Finance Data & Insights, including people management of a small team of analysts. This sub-team is core to ensuring all key Run the Business (RTB) financial reports are complete, accurate, and operationally reliable on a day-to-day basis. The mandate is two-fold: build repeatable systems, playbooks, and documented workflows that reduce reactive work, and own the primary stakeholder relationships for RTB work across teams. This is a high-visibility role that combines hands-on ownership of critical reporting with team direct people leadership and process-building.

Responsibilities:

  • Own all RTB and Compliance reporting (tax, airports, audit requests, etc.), ensuring accuracy, completeness, and operational reliability
  • Directly manage a team of entry-level and mid-level analysts, including hiring, performance reviews, and career development
  • Build and maintain process documentation, checklists, and operational playbooks that make reporting workflows repeatable and resilient
  • Receive and operationalize reports stabilized by Finance Data Products, integrating them into day-to-day RTB reporting operations
  • Reduce fire-drill, ad-hoc response patterns by replacing them with documented, recurring workflows and automation
  • Identify and drive automation opportunities across RTB reporting processes to improve efficiency, reduce manual effort, and further reduce ad-hoc work
  • Own primary stakeholder relationships for RTB work, serving as the go-to point of contact across teams
  • Lead large-scale, cross-functional initiatives with significant autonomy — from problem definition through execution — proactively communicating progress and risks to stakeholders and management
  • Proactively identify risks, gaps, and opportunities for improvement within RTB reporting and drive initiatives to address them

Experience:

  • BA/BS with 5+ years of experience in finance, accounting, business, consulting, or analytics
  • Advanced proficiency in SQL, with 5+ years of experience querying and analyzing large, complex data sets
  • Experience owning recurring, high-stakes reporting processes (tax, regulatory, audit, or similar) in a fast-paced environment
  • Prior formal people-management experience required — including hiring, performance reviews, and career development.
  • Proven ability to build process documentation, playbooks, and operational workflows that scale
  • Experience identifying and implementing automation to reduce manual, ad-hoc work in reporting processes
  • Strong experience with dashboarding/BI tools (e.g., Tableau); familiarity with data warehousing concepts and modern data stacks
  • Demonstrated ability to develop and mentor junior team members
  • Strong track record of managing stakeholder relationships and leading cross-functional initiatives independently
  • Familiarity with Github, Terminal, and DBMS development a 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 $122,000 - CAD $152,000, 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.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.