Lead Analyst (Hybrid/Toronto Based)

Supply Analytics Senior Analyst (Hybrid/Toronto Based)

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know our Team:  The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. The Opportunity:   As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.    In this Role, you’ll get to: * Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) * Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. * Proactively identify opportunities for growth within supply and the wider business. * Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. * Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. * Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: * At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI * Advanced working knowledge and hands-on experience in SQL * Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)  * Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) * Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). * A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) * Good stakeholder management experience. Comfortable presenting to senior leadership. * Experience in conducting A/B testing experimentation * Strong experience in finding data insights and provide business recommendation to the business * A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. * Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. * Data driven in both decision making and performance measurement. * Extreme comfort in ambiguous, fast-paced environment. * Ability to multi-task, prioritize and coordinate resources. * Willingness and able to work 2-3 evenings per week to meet with the Bangkok office and regional partners. It’s Great if you Have:   * MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). * Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. * Asian market experience. * Travel industry / e-commerce / tech / consulting experience.   There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. In addition to a competitive base salary, roles are eligible to be considered for an annual bonus. The range for Ontario area is  $80,000-120,000 CAD.   #canada #Toronto     PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Measurement Analyst (Revenue) - Hybrid

Unknown Employer

COMPANY OVERVIEW: The Globe and Mail is a national icon and one of Canada's most recognized media brands. We proudly serve as a trusted destination for Canadians seeking the highest caliber of journalism, and we've garnered international acclaim for our data visualization, design, and creative storytelling. We are committed to fostering diversity and inclusivity by reflecting all Canadians in both the stories that we tell and the composition of our workforce. We are proud partners with organizations like Indigenous Works, Pride at Work, the Canadian Centre for Diversity and Inclusion, and we are a signatory of the BlackNorth Initiative. Recognizing the importance of work-life balance, we offer flexible work arrangements and support programs. We also invest in our employees' growth through training and mentorship opportunities, enabling you to expand your skills and embrace new challenges. No matter your position at The Globe, you'll be an integral part of an organization dedicated to making a positive difference in Canada. Join us. POSITION OVERVIEW: We are seeking a Measurement Analyst to apply and scale a unified measurement capability across advertising, enabling clear proof of performance and value for clients. This role is responsible for ensuring measurement approaches remain aligned with evolving industry standards, business strategy, and market expectations. The Measurement Analyst will develop and operationalize scalable measurement frameworks while executing complex and high-impact analyses where required. This role will bridge deep technical expertise with commercial impact, supporting full-funnel marketing effectiveness and driving revenue growth. This is an existing vacancy, and this position is a hybrid role based in Toronto. KEY RESPONSIBILITIES: * Contribute to and execute a standardized measurement framework across advertising products and platforms, ensuring consistency in how performance is measured across full-funnel KPIs (awareness, engagement, conversion). * Define and establish experimentation standards (e.g., A/B testing, geo-testing, incrementality) and develop repeatable testing playbooks to enable scaled adoption. * Design and execute complex or high-priority experiments where standardized frameworks do not yet exist. * Develop scalable measurement solutions such as campaign reporting, attribution frameworks, and audience insights that can be consistently applied across clients. * Partner with Product and Data teams to operationalize and productize measurement capabilities into repeatable, commercial offerings. * Act as a trusted advisor to Sales and clients by translating measurement outputs into clear, actionable insights. * Lead complex or high-impact analyses to support client needs and inform future scalable measurement approaches. * Analyze campaign performance to identify drivers of success, inefficiencies, and optimization opportunities. * Develop benchmarks and best practices that can be scaled across verticals and products. * Partner cross-functionally with Sales, Marketing, Product, and Ad Tech teams to drive adoption of measurement standards and frameworks. * Train and enable internal stakeholders to independently apply standardized measurement approaches. * Ensure data quality, consistency, and accuracy across measurement and reporting systems. * Define and enforce taxonomy, data standards, and governance practices to support scalable and reliable measurement outputs. QUALIFICATIONS: Required * Bachelor’s degree in analytics, marketing, economics, statistics, or a related field. * 3–5 years of experience in media measurement, marketing analytics, or advertising strategy. * Understanding of full-funnel media measurement (brand through performance). * Experience designing and executing experiments (e.g., A/B testing, geo testing, incrementality frameworks). * Strong data fluency, including experience working with large datasets and tools such as SQL, Excel, or business intelligence platforms. * Ability to translate complex analytical outputs into clear business insights and narratives. * Experience managing stakeholders across Sales, Product, Marketing, and client groups. * Ability to work independently and influence senior stakeholders. * Strong understanding of industry trends, measurement methodologies, and evolving privacy considerations. Preferred * Certifications in Google Analytics, marketing analytics platforms, or experimentation methodologies. * Experience working with multi-channel media datasets and attribution models. * Experience with attribution modeling, marketing mix modeling (MMM), lifetime value (LTV), segmentation, or causal inference techniques. * Familiarity with the ad tech ecosystem, including DSPs, CDPs, clean rooms, and identity solutions. * Experience building scalable measurement frameworks or products. SALARY: The base salary for this role ranges from $84,000 to $105,000 per year. Placement within this range depends on a candidate’s level of experience, technical skills, and alignment with the role’s requirements. Candidates who have been identified as meeting the role’s requirements can expect to be near the midpoint of this range, while the upper end is reserved for those with specialized expertise or a strong track record of success in comparable roles. This role may be eligible for The Globe’s Sales Incentive Plan, which is based on a combination of corporate and revenue objectives and rewards individual performance. WHY CHOOSE THE GLOBE: The Globe’s mission is to deliver essential content – news, information, analysis and insights – for aspiring individuals and strong communities. The Globe is committed to providing a respectful and inclusive workplace that upholds our values of integrity, collaboration, innovation and accountability. As Canada’s most respected media brand, The Globe is dedicated to making a difference to Canada and you can make a difference by working with us. WE OFFER: * Competitive compensation to ensure we hire, retain and reward team members * Hybrid work environment that promotes work-life balance * Generous vacation and flexible work arrangements * Parental leave top-up * Competitive health and dental benefits * Defined Benefit pension plan * Annual wellness subsidy * On-site chiropractor and registered massage therapist * Employee and family assistance program * Free digital subscription to globeandmail.com and 40% off other Globe products * Education assistance for external training courses SUPPORTING YOUR GROWTH:   * We are committed to creating equitable opportunities for all employees, to enable everyone to reach their full potential. This commitment is embedded in our strategic plan and core values. * There are lateral and upward advancement opportunities for rewarding and developing careers. * We believe in mentorship and collaborative peer-to-peer learning and have both formal and informal programs in place to encourage knowledge-sharing. * We support continuing education and provide both internal and external opportunities for training and development. AI DISCLOSURE: No artificial intelligence tools are used to screen, assess, or select applicants for this position. All hiring decisions are made by human reviewers. We ask candidates to engage authentically in interviews; AI may support preparation but should not be used during interviews or replace your own responses. THE GLOBE AND MAIL IS DEDICATED TO DIVERSITY AND INCLUSION IN THE WORKPLACE    The Globe and Mail is committed to fostering an inclusive, accessible work environment, where all employees feel valued, respected and supported. We believe this strengthens our business and our journalism. We welcome and encourage applications from individuals from all groups, regardless of race, ethnicity, culture, gender, sexual orientation, religion, socio-economic status, age, and physical ability. As required by the Federal Contractors Program, The Globe also tracks the proportion of staff in the four Employment Equity categories (Women, Aboriginal Peoples, Persons with Disabilities, and Members of Visible Minorities) to ensure we are reflecting the areas in which we work.             The Globe and Mail offers accommodation for applicants with disabilities as part of its recruitment process. If you are contacted to arrange for an interview, please advise us if you require an accommodation.

Data Science Manager, Rider Experience

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 Science & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns rider behavior into product strategy. This role owns the analytical foundation behind our most consequential rider-facing decisions: how we measure experience quality, where friction costs us retention, and which bets move rider LTV. You will set the measurement and experimentation standards for rider product squads, and translate ambiguous business questions into rigorous, decision-ready analysis that shapes roadmap and investment. You will also lead the team's transition to AI-native data science and analytics workflows, embedding AI tooling into how we explore data, make decisions, and ship products. RESPONSIBILITIES:  * Lead and grow a high-performing team of data scientists and analysts with diverse backgrounds * Define and drive the data science vision, strategy, and roadmap, aligning with business and product objectives to improve market competitiveness and rider experience * Provide strong technical guidance and coaching to the team on complex data science problems * Champion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate insights into decisions and action * Lead deep-dive analyses into large-scale datasets to identify opportunities for improving rider app experience and overall rider product health * Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies * Mentor and guide the professional and technical development of your team members; help develop their careers and assign projects tailored to their skill levels, work styles, and professional goals * Maintain a balance between building sustainable, high-impact projects and shipping quickly * Lead the team in adopting AI-native data science and analytics workflows, embedding AI tooling across data exploration, modeling, and insight delivery * Partner with the Lyft recruiting team to hire high-potential candidates from diverse backgrounds EXPERIENCE:  * Advanced degree (MS or PhD) in a quantitative field such as Statistics, Applied Mathematics, Economics, Computer Science, or a related area * Hands-on technical experience in experimentation, causal inference, or data science, preferably with applications in machine learning or marketplace dynamics * 2+ years of management experience building, leading, and mentoring data science teams * Strong expertise in statistics, experimental design, and causal inference, including A/B testing, multivariate testing, and incremental lift measurement * Strong data storytelling and influence skills, with experience presenting insights and recommendations to senior leaders * Experience launching and monitoring consumer-facing products and iterating through data-driven experimentation and metrics analysis * Experience guiding teams through ambiguous, complex technical challenges to deliver impactful solutions * Experience building or operationalizing machine learning models (e.g., propensity, segmentation, churn, personalization) in partnership with engineering * Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences 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 Canada area is CAD $172,000 - CAD 215,000, 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.