Jobs Companies Lyft Senior Financial Data Analyst

Sobre esta vaga de Senior Financial Data Analyst na Lyft

Lyft · Híbrido · Toronto, Canada

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. 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 leadership and process-building.

Responsibilities:

  • Own all RTB and Compliance reporting (tax, airports, audit requests, etc.), ensuring accuracy, completeness, and operational reliability
  • 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
  • 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.

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Como este salário de Data Analyst se compara

Esta vaga paga $122,000/yracima da faixa típica para vagas de Data Analyst.

$81,176 a mediana $93,389 $122,097

Faixa típica $82,825–$108,000/yr, com base em 18 vagas de Data Analyst comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Data Analyst →

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