Business Intelligence Engineer, Prime Video International - Finance Analytics
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Analyze marketplace operations and financial levers to support growth strategy for the rideshare business. This role requires 3-5+ years in data or financial analytics, with strong SQL proficiency and quantitative analysis skills. You'll develop forecasting models, create executive reports, and provide actionable insights to cross-functional teams. Based in Toronto on a hybrid schedule (minimum 3 days per week in office), the position offers CAD $102,000–$127,500 base pay, plus equity and bonus potential.
Written from this posting by Neural Jobs AI. The full description is 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.
The Marketplace team at Lyft is responsible for accelerating the growth of the business and for delivering our top business/company goals around financial metrics and marketplace performance. The team provides analysis and use cases to support Product teams, build automated tooling, and manage growth investments.
We are looking for an analyst to join the Central Market Management team and help us grow our market share. You will work with cross-functional stakeholders to analyze and improve existing product and financial levers leveraged in the marketplace. You will influence growth strategy with your data analysis and competitive insights while getting a ton of executive exposure along the way. We’re looking for an intellectually curious individual who has extraordinary attention to detail, a track record of analytical problem-solving and skilled communication.
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 $102,000 - CAD $127,500, 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.
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Lyft operates a mobility platform that connects riders with drivers for on-demand and scheduled transportation. Its services include everyday rides, airport and premium ride options, and transportation programs for organizations. The company also participates in shared micromobility through major bike-share systems and scooters. Lyft's apps coordinate matching, routing, pricing, payments, safety features, and support, giving users multiple ways to make local trips without owning a vehicle.
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