Analytics Lead in Canada

About the Team The Analytics team is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… As a senior Individual Contributor, mentor and influence junior Data Scientists in investigating complex issues and uncovering key drivers of our business Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain 8+ years of experi

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Pricing team defines and executes GitLab's pricing strategy, a function that's important to our success. As a Lead Pricing Strategist, you'll shape pricing and packaging across our portfolio, from the Premium and Ultimate tiers to GitLab Duo and our growing set of artificial intelligence (AI) and usage-based products, including Flex and Orbit. You'll work with leaders across Product Management, Product Marketing, Finance, go-to-market teams, Sales, and Deal Desk to evaluate opportunities, create business models for new offerings, and improve how we package our existing portfolio. What you’ll do Collab

We are looking for a Lead, Data Development, AI Platform to lead the team building and operating the technical platform behind Hootsuite's Analytics MCP. This includes routing infrastructure, orchestration services, agent infrastructure, and data pipelines that enable reliable AI-driven analysis at scale. You will set technical direction for the team, strengthen engineering practices, and translate target architecture and integration standards into secure, production-grade systems that Data Analytics & AI teams can confidently build on. This is a hands-on technical leadership role. You will stay close to the code while owning delivery outcomes, engineering quality, and the team's culture of craft and accountability. You will develop strong, well-reasoned recommendations on how the platform and orchestration architecture should evolve, seek approval at the Senior Manager and Director level, and then guide the team through disciplined execution. You will also partner closely with AI Context & Integration and AI Data Architecture to ensure the platform, context layer, semantic layer, and downstream agent workflows operate as one coherent system. WHAT YOU’LL DO: Lead the design and delivery of the orchestration layer that connects the Analytics MCP platform across its most complex surfaces, including query execution across schemas and models, federated data access between the data warehouse and external source systems, and multi-step agent workflows for cross-functional business processes. Develop clear technical recommendations for platform and orchestration architecture evolution, align those recommendations with Senior Manager and Director-level direction, and guide the team through disciplined execution within the approved architecture. Own the operational reliability, scalability, quality, and observability standards for core Analytics MCP components, including routing and agent infrastructure. Guide the team to build and operate these systems to prod

About the Team The Customer Experience team serves as a foundational operations pillar at DoorDash, dedicated to resolving friction within the last mile. We architect and oversee an expansive global network of support centers — spanning both teammate-assisted and AI-driven support — obsessing over the user journey to ensure every interaction is seamless and reliable. As the analytics team, our mission is to make every support interaction measurably better: we define what a great resolution looks like, quantify where we fall short, and turn that into a roadmap for product, operations, and AI/ML partners. We are looking for a Manager to lead and grow the analytics team behind our core support experience. About the Role As a Manager on the Customer Experience Analytics team, you'll set the analytical vision for how DoorDash measures and improves customer resolutions across our global network of support teammates and their interactions with our customers. You'll lead and grow a team of data scientists working at the intersection of customer experience quality and operational cost — uncovering opportunities to drive perfect interactions and informing improvements to teammate tooling that leverages AI-driven resolutions. You'll establish a clear measurement framework for resolution quality, own insights to drive strategy and roadmap, and align partners across CX, Product, Engineering, Operations, and AI/ML. This is a high-visibility leadership role: success means better outcomes for customers, a more effective support organization, and a team of data scientists who are growing in their craft. You're excited about this opportunity because you will… Lead, grow, and develop a team of data scientists — providing mentorship, feedback, and clear career development pathways. Set the analytical vision for the core support experience, defining what a great customer resolution looks like and building the metrics to measure it. Uncover opportunities to drive perfect interactions, tr

You define how the codebase is built. On-site | Vancouver Office – 675 W Hastings St. The Problem We're Solving EviSmart is building the unified dashboard platform where every product surface comes together — the interface lab owners use to manage cases, access analytics, and launch AI-powered tools. It doesn’t have a frontend foundation yet. What exists is a clear product direction, a backend that’s ready to connect, and an engineering team that needs someone to draw the lines before anyone starts building. Why EviSmart 300 people. Two hubs: Vancouver HQ and Manila operations. 145% year-over-year SaaS growth — the market is responding. 28 countries. One platform. The dental industry's Autopilot. An in-house AI model research and development team building proprietary intelligence. Why This Role, Right Now Most senior frontend engineers join products with foundations already in place — someone else made the hard calls, and your job is to build within them. This is the opposite. There is no existing dashboard frontend, no technical debt to inherit, and no architectural decisions that constrain you yet. The person who joins now makes the foundational choices that the entire frontend team builds on for the next several years. The first product milestone is aggressive, the customer base is real and global, and the backend is ready. What doesn’t exist yet is the engineer who sets the direction. A Note from the Team “We’re not looking for someone who needs a clear spec before they can move. We need someone who can audit what exists, make a recommendation, and execute on it. If you’ve been the person who sets the technical direction that your team builds on, and you want to do that at a scale that actually matters, this is that conversation.” — Paolo Kalaw, CEO, EviSmart What You’ll Own Own the React JS / TypeScript frontend architecture for a new dashboard platform — the unified interface where all products connect. De

#Team Nextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 350,000 neighborhoods across 11 countries. Meet your Future Neighbors As an Analytics Engineer 4 with Nextdoor, Inc. (San Francisco, CA) (May telecommute from any U.S. location) you’ll: Apply mathematical or statistical theory and methods to design, create, and select the appropriate samples of data that will allow the data science team to conduct probabilistic experiments and statistical analyses Design software systems and processes to gather data in the most efficient way and determine key data points needed in order to interpret experiment results and ensure results are properly tracked Interpret data and report conclusions drawn from their analyses Work with cross-functional teams, including product, design, engineering, marketing, operations, and sales, to determine which data analyses will lead to the most actionable insights Build data pipelines to create and transform data for analysis of different product features Clean and summarize data to make it accessible for reporting and for data science Combine data from multiple sources to make and distribute client reports in order to see how particular ad products are performing Analyze expected vs actual delivery of ad products in order to find and improve gaps in our delivery pipeline What You’ll Bring to The House Master’s degree or foreign equivalent in Mathematics, Statistics, Business Analytics, or closely related quantitative field. Three (3) years of years of experience in the role or in a related position. Full term of experience m

About the Team DoorDash Ads will become the most transparent and effective advertising channel for merchants, brands, and ad buyers/agencies of all sizes to market their offerings to engaged local audiences. We build a variety of products that are easy to use and confidently generate incremental value for advertisers, while also helping consumers discover and engage with brands they love and save money. As the analytics team our goal is to advance product development, understanding of the business, and identify opportunities for the team to drive towards our north stars. About the Role As the leader of a large, high-performing team of data scientists, you’ll own the analytics strategy for DoorDash Ads for Restaurants—one of the company’s fastest-growing and most dynamic businesses. You’ll guide a team spanning multiple levels of seniority to drive insights and decisions across a multi-sided marketplace, optimizing across consumer and merchant outcomes . In your first few months, you’ll establish clear priorities, align cross-functional partners in product, engineering, sales, and strategy, and set the analytical vision for sustainable growth. Success in this role means delivering measurable business impact, elevating the quality of analytics across the organization, and building systems that balance advertiser ROI, consumer experience, and platform health. You will report into the Senior Director of Analytics on our Ads team in our Ads & Promos organization. You’re excited about this opportunity because you will… Lead and develop a high-performing analytics team, providing mentorship, feedback, and clear career development pathways. Define and drive the analytical and product roadmap by setting measurable goals and aligning cross-functional teams around success metrics. Partner closely with product, engineering, and go-to-market teams to uncover insights, optimize funnels, and inform high-impact decisions. Apply advanced analytical methods—such as co

About the Team As DoorDash continues to expand rapidly, our Core Consumer team plays a pivotal role in shaping the consumer experience through enhancing personalization, search relevance, merchandising strategy, app quality, and the overall ordering experience. Our mission is to implement scalable data solutions and provide insights that directly influence our strategic product direction. We are looking for an Analytics Senior Manager to lead our Discovery team. About the Role As a Senior Manager of Data Science/Analytics, you’ll be leading a team of data scientists who are working on improving the consumer experience. You will develop strategic insights and work closely with the product, engineering, strategy and operations teams to actively build and measure the impact of new features. You will oversee our metrics and analytics strategy to inform strategic product direction, offer technical leadership and build processes to support velocity, and partner with data and product engineers to build robust data foundations. You're excited about this opportunity because you will… Lead and develop a team of Data Scientists in investigating complex issues and uncovering key drivers of our business, along with your own contributions as an Individual Contributor Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain Experience managing a team of data scientists, and a track record of delivering impactful analyses 8+ years of experience i

About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. About the Role We are looking for a Strategic Finance Lead to serve as a strategic thought partner to our Product and Engineering organizations. In this role, you will help shape how Eve evaluates product performance, prioritizes investments, thinks about pricing and monetization, and plans for future growth. You will translate product performance, customer behavior, business trends, and financial information into clear insights and recommendations for senior leaders This is a highly cross-functional role. You will partner closely with Product and Engineering leadership and the Executive Leadership Team. You will not be expected to build analytics infrastructure or own the production of dashboards. Instead, you will partner closel

Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression. You will: Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market) Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives Own the execution of our data labeling operations for strategic projects Give regular progress updates to Scale’s executive team Work on some of the most impactful problems at the company Ideally, you’d have: Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). 2+ years of experience leading a team, developing product or operational processes, or as a SWE. Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus). Entrepreneurial experience and mindset - you are excited about building things from scratch Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted e

About the Team The Sales Analytics team at DoorDash is responsible for getting the right information and insights out to drive our business goals. As DoorDash grows both in scale and breadth of offering, the strength of our sales engine and organizational structure must grow with it. About the Role You will be focused on partnering with our sales & strategy teams, who help solve pain points for small business (SMB) merchants on the Doordash platform through various methods such as new product adoption. You will lead analyses to guide our sales team with data-driven insights to unlock growth opportunities within their accounts. This cross-functional role will partner with sales, operations, product, and strategy teams. You will report into a Senior Manager on our Sales Analytics team, which is part of our Sales Operations organization. You’re excited about this opportunity because you will… Strategize – Devise and execute initiatives against the overall sales org strategy for “winning the merchant” while managing stakeholders across multiple lines of business Experiment – Use data-driven decision-making and sound business judgment to run sales tests and lead market intelligence efforts Optimize – Build the best merchant acquisition engine so DoorDash continues to offer the highest quality selection for its customers Analyze – Build models to evaluate the economics, value, and opportunity costs of strategic initiatives to improve sales performance Influence – Manage cross-functional projects with our sales, partner management, operations, product, engineering, business operations and BD teams to improve the merchant experience and achieve targets We’re excited about you because… You have 2+ years of experience in Analytics, Consulting, or Strategy You have a bachelors degree or higher You are highly technical with advanced SQL, basic Python/R, AI, and data modeling experience. You are an excellent analytical thinker who can deliver actionable recommendations

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Events Analytics Platform (EAP) team is responsible for the infrastructure that powers all of Sentry's time-series data and searching capabilities across billions of events with sub-second latency. We started this initiative by building Snuba, the primary storage and query service for Sentry's event data powered by ClickHouse, and we are now focused on unlocking deeper visibility and reporting across the terabytes of event data our users generate. As a Senior Software Engineer, you will lead efforts to push the boundaries of data visibility at Sentry. You will do this by expanding the capabilities of our search infrastructure, building new capabilities on top of our state-of-the-art storage layer and increasing the performance and integrity of Sentry’s core data services. You will also help shape Infrastructure's technical direction at Sentry and collaborate with Product and other Engineering teams to turn that vision into a reality. If you want to solve the hard problems that come with scaling event data into the petabyte range, this could be the job for you. In this role you will: Expand EAP's ability to deliver data at world-class speed and reliability. Architect and automate services and systems to scale reliably under growing demand. Make architectural trade-offs that balance product requirements with engineering constraints. Maintain and grow the team's code quality initiatives by regularly reviewing code and contributing to design decisions. Lead design and discussions around deliverables the team is working towards. Improve the maintainability and developer experience of the codebases EAP owns. Exa

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 People Analytics team at Lyft exists to build data trust — turning people data into clear, reliable insights that help our HR Business Partners, talent leaders, and executives make better decisions. We're a small, high-impact team in the middle of a meaningful BI transformation: we recently moved to ThoughtSpot as our primary analytics platform, and we're not just replicating old dashboards — we're rethinking what self-service analytics looks like for a People team. That includes exploring ThoughtSpot's AI capabilities to surface proactive insights, enable natural language querying, and reduce the friction between a business question and a data answer. There's real greenfield work here, and we're looking for someone who wants to help define what AI-powered people analytics looks like at Lyft. We're looking for a Data Analyst to join our People Analytics team, based in Toronto. You'll report to the Senior Manager, People Analytics and serve as the first point of contact for incoming data requests across the People organization — triaging, scoping, and delivering on analytical needs ranging from quick ad-hoc pulls to fully built ThoughtSpot dashboards. This role is well-timed: you'll be joining as we complete our migration from Tableau to ThoughtSpot, which means you'll have genuine influence over how we build our reporting layer and push into ThoughtSpot's AI features — think natural language search, AI-generated insights, and proactive anomaly detection applied to people data. This isn't a "maintain the dashboard" role. It's a chance to help build something new. You'll be a self-starter who is equally comfortable writing SQL and presenting findings to a VP. Responsibilities: Serve as the first point of contact for incoming data requests from across the People organization — scoping needs, setting

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. Ident

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. On the Rider team, we are growing our team with people who want to enrich the lives of our community through technology. You'll collaborate with highly cross-functional teams such as Product, Design, Data science, and Analytics, as well as other organizations like Driver, Partners, and Marketplace, to deliver on that promise. As the Senior Engineering Manager for the Rider Loyalty, Partnerships, and Rider Pay (PLP) group, you will lead multiple managers and Staff ICs with end-to-end teams, consisting of iOS, Android, and Server, to make Riders into Members and to build a robust network of partners that our Riders love. It is your responsibility to sweat the details by being customer-obsessed with specific Rider needs and to build innovative product solutions to address them. Responsibilities: Set the technical vision and team strategy for the PLP group and communicate that downwards, with peers, and upwards with ELT Coach and guide an organization of managers and engineers in their people and technical development Collaborate with cross-functional stakeholders to deliver high business impact Work closely with the Lyft recruiting team to hire high-potential candidates from diverse backgrounds Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or a related field, or relevant work experience 3+ years of experience managing engineering teams of 20+ members, including teams across iOS, Android, and Server platforms, as well as experience in managing managers Ability to thrive in a heavily cross-functional environment and drive projects to completion regardless of the organizational structure Passion for building scalable and extensible solutions that enable others and ensure a high-quality product Experience launching and supporting consumer-facing products at scale Strong technica