Senior Analyst, Global Expansion Strategy

Senior Analyst

Lyft

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. Data is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of new features. The Global Growth organization is chartering the future for Lyft’s growth, focused on expanding Lyft beyond North American rideshare’s core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and enabling Autonomous Vehicles (AVs) domestically and abroad. These teams are at the center of innovation and the future of Lyft’s growth, and this role would be directly shaping the strategic roadmap for these crucial areas. As a Senior Analyst, you will collaborate with our world class team of engineers, product managers, and designers to build the roadmap for business and product expansion to meet the needs of our international customers.  The ideal candidate is a thought leader in this space, working across multiple functions and geographies. This role blends strong business acumen, marketplace dynamics, and strategic understanding of regulatory landscapes to craft a vision for Lyft around the globe. This role will help define Lyft’s strategy for where and how Lyft expands its footprint around the world, sizes the opportunity, scopes the unique products required, and is a liaison to our central marketplace teams. In this role, you will help us tackle problems such as: * How will global expansion impact our current North American rideshare users? * How does the competitive landscape in future geographies impact our growth strategy? * What product developments do we need to develop to successfully expand and gain market share? * How does our global expansion align with our future autonomous-hybrid marketplace growth plans? EXPERIENCE * 6+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup * Experience in leading high visibility projects and influencing others in a cross-functional team environment * Experience in communicating with and presenting to senior leaders and data storytelling * Strong ability in building decision making frameworks and data analysis, able to understand business issues, analyze large amounts of data, and draw actionable conclusions * Entrepreneurial self-starter - you naturally take ownership, look for opportunities, and do whatever it takes to drive results * Skills * Ability to independently break down large datasets and synthesize inputs from multiple sources * Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans * Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences * Ability to manage, influence, negotiate, and inspire others in a fast-moving and ambiguous environment * Ability to use data visualization tools to provide actionable insights and reusable frameworks * Strong written and verbal communication skills for internal stakeholders, including senior leadership * Strong product and user experience sense * Excellent organization, planning skills, and attention to detail * Advanced analytical and problem solving skills * Proficiency in SQL 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 $129,000 - CAD $161,250, 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.

Analyst, Product Pricing

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Pricing Strategy team is part of the Stripe Product Marketing organization and is responsible for how Stripe prices its products. Our work is highly cross-functional and we partner closely with Product, Finance, and Sales to tackle some of the most visible and commercially impactful decisions at Stripe. We're looking for someone who blends financial analysis, strategic thinking, and stakeholder engagement to help us price new products and evaluate their pricing performance as the products evolve. WHAT YOU'LL DO * Be rigorous and detail-oriented. You are energized by complex, ambiguous pricing questions and are comfortable going deep in the data to find answers. * Be a storyteller. You translate complex, nuanced findings into compelling, actionable narratives that resonate with senior stakeholders and drive the organization to action. * Be a pragmatic problem-solver. You are comfortable making and defending well-reasoned judgments even when data is imperfect or incomplete, and know how to ask the right questions and find creative diagnostic approaches to move forward with confidence. * Be a collaborator. You partner effectively across Engineering, Product, Finance, and Sales to drive alignment and get things built. RESPONSIBILITIES * Drive pricing analytics and strategy by conducting rigorous analysis on ambiguous, high-impact questions about the Stripe business, and translating findings into clear recommendations that shape pricing decisions and commercial strategy * Uncover growth opportunities by analyzing pricing realization, identifying products where pricing adjustments are warranted, and understanding how factors like multi-product adoption and user churn shape the economics of our business * Accelerate the pace of pricing decisions by codifying solutions to the complex, recurring diagnostic questions that sit at the core of our pricing strategy * Improve our data and systems infrastructure by identifying gaps in how we capture and evaluate pricing outcomes, and partnering cross-functionally with Engineering, Product, and Data teams to design and implement robust, scalable solutions WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * Bachelor's degree in a STEM or business major (e.g., Computer Science, Math, Statistics, Engineering, Business Administration) * 5+ years of experience in data-intensive roles with a focus on translating insights into strategic business outcomes * Strong problem-solving ability, proficiency with SQL (minimum of 3 years advanced SQL), and strong understanding of data relationships * Proven ability to collaborate cross-functionally (e.g., Product, Engineering, Finance teams) * Excellent verbal and written communication skills * Ability to toggle between high-level strategy and granular system details PREFERRED QUALIFICATIONS * Master's degree in a STEM major * Domain knowledge in pricing or go-to-market  * Experience in fast-paced environments (e.g., high-growth fintech, tech, or management consulting) * Familiarity with Python, R, or similar languages for advanced data manipulation

Senior Product Operations Manager, Business Analytics

Okta

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. THE OPPORTUNITY Auth0 is a leading identity platform that secures billions of logins every year for organizations around the world. We're trusted by enterprises, startups, and developers to simplify identity and access management across any application, on any platform, anywhere.   We're seeking a Product Operations Manager with a strong focus on data and analytics to help us turn raw data into meaningful business insights. Reporting to the Head of Product Operations, you'll be the person who looks at what the data is telling us and connects it to what it means for the business — revenue, retention, growth, and product direction. This is not a pure analyst role. You'll need to understand the business deeply enough to ask the right questions of the data, and communicate the answers in a way that drives real decisions. You're equally comfortable working in a dashboard as you are in a leadership meeting explaining what the numbers mean and why they matter. KEY RESPONSIBILITIES: * Turning Data Into Business Insight: Take raw product and business data and translate it into clear narratives about what is working, what isn't, and where the opportunity lies.  * Build and maintain decks and dashboards that go beyond reporting numbers, telling a story and driving action.  * Work with Product to define the KPIs and metrics that matter most to the business and ensure teams understand how to track them, and how their work connects to those outcomes.  * Identify trends, anomalies, and patterns in data and proactively surface insights to stakeholders before they have to ask. * Partner with the data team to establish metrics frameworks that draw a clear line between product usage and business results such as revenue, retention, and customer growth. * Data Partnership & Enablement: Act as the bridge between Product Operations and the Data & Analytics team * Translating business questions into data requirements and translating data outputs back into business language.  * Establish shared definitions, documented metrics, and consistent standards so everyone is working from the same source of truth.  * Maintain a prioritization framework and working rhythm with the Data & Analytics team to ensure business-critical needs are addressed efficiently. * Product Roadmap Presentation: Lead the development and delivery of roadmap presentations that clearly connect data-driven insights to strategic decisions. Collaborate cross-functionally to ensure feedback and analytics meaningfully shape product direction and outcomes. * AI-Powered Workflow Automation: Proactively leverage modern AI tooling and LLMs to automate repetitive administrative tasks, design repeatable multi-step workflows, and streamline processes, reporting, etc. to maximize overall team efficiency. QUALIFICATIONS: * 5+ years in Product Operations, Business Operations, or a data-focused analytical role within enterprise SaaS * Experience working across Product, Finance, or Go-To-Market teams where data was used to drive strategy * Demonstrated ability to utilize AI platforms to build automated processes, conduct rapid data analysis, and refine operational workflows to reduce manual overhead * Proficiency with dashboarding and analytics tools such as Tableau, Dovetail, Pendo, Snowflake, or similar. Comfortable writing SQL or pulling data independently.  * Strong ability to work with messy, incomplete, or ambiguous data and still draw meaningful, defensible conclusions * Skilled at translating between technical data teams and non-technical business stakeholders * Proactive communicator  * Experience with AI-assisted analytics or automation in metrics building * Exposure to data governance or analytics infrastructure design * Background in identity, security, or developer platforms     P25381 Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can. The annual base salary range for this position for candidates located in Canada is between: $124,000—$171,000 CAD The Okta Experience * Supporting Your Well-Being  * Driving Social Impact  * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.