Engagement Manager - Analytics Engineering

Role Overview Tiger Analytics is hiring a Manager of Talent Acquisition - Analytics. This remote position is based in Toronto, Ontario, Canada. The role centers on shaping and executing the company’s recruitment strategy for analytics professionals. What You Will Do Lead recruitment initiatives aimed at attracting skilled analytics talent. Work closely with stakeholders to refine and improve hiring processes. Support efforts to build and maintain a diverse, high-performing team. Apply expertise in analytics and talent acquisition to identify, engage, and secure top candidates. Location Remote role based in Toronto, Ontario, Canada.

Join Our Team at Clutch!Clutch is Canada’s premier online used car retailer, dedicated to providing an effortless and enjoyable car-buying experience for drivers across the nation. With hundreds of cars available for browsing from the comfort of home, our customers can have their perfect vehicle delivered right to their doorstep, all backed by our 10-Day Money-Back Guarantee.Recognized as one of Canada’s Top Growing Companies for two consecutive years and included in LinkedIn’s Top Canadian Startups list, we are eager to welcome motivated, inquisitive, and hardworking individuals to our expanding team.Founded in 2017 and headquartered in Toronto, Clutch is supported by top-tier investors such as Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more about our innovative approach to car retailing, visit clutch.ca.

Tiger Analytics is a premier advanced analytics consulting firm, recognized as a trusted partner to numerous Fortune 100 companies. We empower businesses to derive significant value from their data through our deep expertise in Data Science, Machine Learning, and Artificial Intelligence. Our leadership and contributions in the field have been acknowledged by industry leaders such as Forrester and Gartner.We are seeking an individual who possesses a strong combination of business consulting acumen and a solid background in data analytics.Key Responsibilities:Leverage cutting-edge data science applications to address complex business challenges.Engage directly with client stakeholders to translate business needs into comprehensive analytics solutions.Effectively present analytical strategies to diverse business audiences, emphasizing the value and reliability of the proposed solutions.Design and implement end-to-end analytics solutions based on a thorough understanding of business problems to ensure efficient and sustainable delivery.Lead analytics projects while fostering collaboration with client stakeholders and global Tiger Analytics teams.Collaborate with team members to identify and implement relevant analytical techniques that yield actionable business insights.Deliver presentations to senior management, relay results to business teams, and develop strategies to integrate analytics into operational processes.

Join Tiger Analytics as a Manager/Sr. Manager in Customer and Digital Marketing Analytics. In this pivotal role, you will spearhead analytical initiatives that drive marketing strategies for our retail and consumer packaged goods (CPG) clients. You will leverage data to extract actionable insights, enabling our clients to enhance customer engagement, optimize marketing spends, and achieve remarkable growth.As a leader in our analytics team, you’ll collaborate closely with cross-functional teams, guiding project execution from inception to completion while ensuring alignment with business objectives. You will also mentor junior analysts and contribute to the overall development of analytic capabilities within the organization.

Join our dynamic team at Tiger Analytics as a Data Engineer specializing in Snowflake. In this fully remote role, you will leverage your expertise in data engineering to build and optimize data pipelines, ensuring high performance and reliability in data processing. You'll collaborate with cross-functional teams to deliver data solutions that drive business insights and support data-driven decision-making.

Be Part of the Financial Revolution.At Robinhood, we are on a mission to make finance accessible to everyone. With an anticipated transfer of $124 trillion in assets passing to younger generations over the next two decades, we are positioned at the forefront of a transformative shift. If you are eager to play a pivotal role in this historical moment, we want to hear from you.Role OverviewAs a vital member of Robinhood’s Analytics Engineering team within our Data Science division, you will help shape our decision-making framework. Your contributions will include the design and implementation of data products that are essential for product innovation, regulatory compliance, and operational effectiveness. Our goal is straightforward yet ambitious: to empower each team at Robinhood with reliable, scalable, and self-service analytics, enabling swift and informed decision-making.Working at the crossroads of data engineering, data science, and product strategy, you will collaborate with product managers, engineers, and data scientists to turn raw data into actionable insights. In your role as an Analytics Engineer, you will be instrumental in architecting Robinhood’s data infrastructure, overseeing the creation of high-performance ETL pipelines, data models, and analytical tools that drive critical business decisions.Your impact will extend beyond just building systems; you will help establish metrics, shape datasets, and set the benchmarks for analytics excellence across the organization, influencing our growth trajectory.This position is based in our Toronto office, with in-person collaboration expected at least three days per week.

Role Overview Opendoor is hiring an Agentic Analytics Engineer in Toronto. This role focuses on turning complex data into clear, actionable insights that support business decisions. The position works closely with teams across the company to strengthen analytics and help guide strategy through data.

About FaireFaire is a vibrant online wholesale marketplace grounded in the belief that the future is local. Independent retailers globally are generating more revenue than Walmart and Amazon combined, yet they remain small compared to these giants. At Faire, we harness the power of technology, data, and machine learning to connect this thriving community of entrepreneurs around the world. Imagine your favorite local boutique; we empower them to discover exceptional products from across the globe to enrich their offerings. With the right tools and insights, we strive to level the playing field, ensuring that small businesses can effectively compete against big box and e-commerce behemoths.By championing the growth of independent businesses, Faire is making a positive economic impact in local communities worldwide. We are on the lookout for intelligent, resourceful, and passionate individuals to join us as we fuel the shop local movement. If you share our commitment to community, we invite you to join ours.About the RoleAre you enthusiastic about leveraging data and AI to shape the future of Faire's product features for small and medium-sized businesses (SMBs)? If so, we want to connect with you! We are seeking a technical leader to collaborate closely with Data Scientists, Product Analysts, and Software Engineers to facilitate product launches and roadmaps by developing robust data capabilities that generate actionable insights. You will spearhead efforts to utilize AI to enhance productivity and revolutionize analytical engineering—streamlining data pipeline development and operations, refining data consumption workflows, and automating routine analytical tasks. In this role, you will witness a direct correlation between your contributions, company growth, and user satisfaction. You will collaborate with top-tier professionals, work with one of the richest data sets available, utilize cutting-edge technology, and regularly see the impact of your efforts on products and SMBs.Join us and be part of a team that prioritizes data-driven innovation and excellence.

Location: Toronto Metropolitan AreaBase Salary: $120,000 – $133,000 (CAD)Company OverviewAt Teragonia, we are pioneering the AI Operating System tailored for Private Equity. Our mission is to empower sponsors and their portfolio companies to transform fragmented operational data into actionable decisions that significantly enhance EBITDA. Operating in a high-stakes environment where outcomes are time-sensitive, we harness the power of Astradis™, our cutting-edge AI platform, to unify both structured and unstructured data, delivering prescriptive insights in near-real-time that seamlessly integrate into operational workflows with clear accountability and measurable impact.Partnering with private equity firms managing over US$400 billion in assets, we are rapidly expanding our global footprint. We are proud to drive an EBITDA uplift of 3% to 5% across PE portfolio companies, facilitate accelerated roll-ups through standardized data frameworks, and ensure continuous exit readiness through high-fidelity performance instrumentation.Our culture is designed for high-agency builders eager to take on early responsibilities and engage directly with top private equity firms and their portfolio CXOs. Teragonia fosters a collaborative, diverse, and inclusive environment that nurtures career growth through cross-learning within our multidisciplinary structure. Our competitive compensation package is aligned with the industry's leaders, including 401k matching, medical insurance, and additional benefits.For more about our mission, vision, and values, visit our website:About Teragonia: https://teragonia.com/company/Our Values: https://teragonia.com/careers/Our Purpose: https://teragonia.com/value-orchestration/

Location: Toronto Metropolitan AreaBase Salary: $95,000 – $105,000 (CAD)About TeragoniaTeragonia stands at the forefront of innovation, delivering an AI Operating System tailored for Private Equity. Our mission is to empower sponsors and their portfolio companies to transform fragmented operational data into decisive actions that enhance EBITDA. Operating within the high-stakes realm of enterprise performance, where outcomes are bound by a 3 to 5 year timeline, our execution speed is crucial in defining returns. With our proprietary AI platform, Astradis™, we seamlessly integrate structured and unstructured data, providing prescriptive insights in near real-time, directly into operating workflows with clear accountability and measurable outcomes.We collaborate with private equity firms managing over US$400 billion in assets, rapidly expanding our global footprint. Our impact is quantifiable; we drive a 3% to 5% uplift in EBITDA across portfolio companies, facilitate roll-ups through standardized data and KPI frameworks, and ensure continuous exit readiness with precise performance instrumentation. At Teragonia, we are revolutionizing episodic consulting with a compounding AI platform that amplifies expertise across diverse companies, industries, and investment cycles.We cultivate a diverse, inclusive, and collaborative environment while offering a robust career development platform through cross-functional learning within our multidisciplinary structure. Our competitive compensation package aligns with industry leaders, featuring 401k matching, comprehensive medical insurance, and additional benefits.Explore more about our mission, vision, and values on our website: About Teragonia: https://teragonia.com/company/Our Values: https://teragonia.com/careers/Our Purpose: https://teragonia.com/value-orchestration/

About ClutchClutch is Canada's leading online used car retailer, dedicated to providing an effortless and enjoyable car-buying experience. Our platform allows customers to explore a vast selection of vehicles from the comfort of their homes, have their chosen car delivered directly to their door, and enjoy our reassuring 10-Day Money-Back Guarantee. Celebrated as one of Canada’s Top Growing Companies for two consecutive years and recognized in LinkedIn's Top Canadian Startups list, we are eager to welcome inquisitive, diligent, and passionate individuals to our expanding team.Founded in 2017 and headquartered in Toronto, Clutch is supported by renowned investors such as Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To discover more about us, visit clutch.ca.About the RoleClutch is on the lookout for a Senior Analytics Engineer to architect, maintain, and enhance our analytics data infrastructure. In this pivotal role, you will collaborate with business units, oversee essential data domains, and mentor fellow analytics engineers while advocating for data quality, governance, and contemporary analytics methodologies.

Join Our Dynamic Team As a Senior Staff Analytics Engineer at HelloFresh, you will play a pivotal role as the technical architect and strategic leader for our data assets that drive growth on a global scale. At HelloFresh, data-driven decision-making is embedded in our company culture; your extensive experience in both technical and business domains will empower us to make informed and swift decisions. You will collaborate with various teams within the Growth Alliance, including Conversions, Payments, Pricing/Benefits, Communications, and Adtech, proactively identifying opportunities and developing robust data infrastructures for insightful analytics and AI applications. As a key member of the Growth Analytics team, you will mentor fellow team members and champion the integration of innovative technologies and methodologies. Key Responsibilities Lead Data Quality & Strategic Optimization: Serve as the final authority on SQL/Python reviews, addressing systemic issues, managing non-functional requirements like global scalability, and making crucial design trade-offs in challenging scenarios. Architect Robust Data Models & AI Foundations: Spearhead the design of scalable models and establish AI-ready data foundations. You will implement medallion architecture (Bronze to Gold) to ensure high-quality feature engineering and create data sets that accurately reflect intricate business logic. Drive Pipeline Stewardship & Best Practices: Take full responsibility for pipeline reliability while defining the tooling roadmap. Lead significant migrations, establish monitoring strategies for latency and throughput, and promote the adoption of new technologies such as DBT and observability tools. Enable Cross-Functional Strategy & Mentor the Team: Collaborate with leadership to convert business objectives into technical roadmaps while mentoring and scaling the team effectively.

Join Tiger Analytics as a Manager/Sr. Manager in Supply Chain Analytics, where you will play a pivotal role in driving data-driven decision-making within the Consumer Packaged Goods (CPG) and Retail sectors. You will lead a talented team in analyzing supply chain data, optimizing processes, and delivering actionable insights that enhance operational efficiency and boost profitability.In this remote position, you will leverage your expertise in analytics, data visualization, and supply chain strategies to influence key stakeholders and guide strategic initiatives. Your analytical prowess and leadership skills will be essential in shaping the future of our clients’ supply chain operations.

At Movable Ink, we specialize in taking content personalization to the next level for marketers, utilizing data-driven content generation and AI decisioning. Our innovative solutions are trusted by some of the world's leading brands to enhance revenue, streamline workflows, and increase marketing agility. With our headquarters in New York City and a talented team of nearly 600 professionals, we proudly serve clients across North America, Central America, Europe, Australia, and Japan.As a member of our Analytics team, you will play a pivotal role in measurement, attribution, and the development of an intuitive reporting interface for our digital marketing platform. This is a rare opportunity to influence how marketers perceive and engage with data—turning raw metrics into actionable insights that drive impactful campaigns and deliver tangible business outcomes. Join us to make a significant contribution to a rapidly growing team, take command of innovative projects, and collaborate with cross-functional partners to create a product that marketing teams depend on daily.

Role overview Ontario Transit Group is hiring a GIS & AI Analytics Engineer based in Toronto. The position centers on using Geographic Information Systems (GIS) and Artificial Intelligence (AI) to enhance transportation solutions throughout the organization. What you will do Create analytical models and visualizations to inform data-driven decisions for transit operations. Contribute to digital delivery projects that aim to boost efficiency and improve the customer experience. Collaborate with teams from different disciplines to support technology adoption in transit planning and operations. Impact The work in this role supports the development of smarter, more efficient transit systems, helping to deliver better service for riders across Ontario.

Join Tiger Analytics, a dynamic and rapidly expanding advanced analytics consulting firm recognized for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We partner with leading Fortune 100 companies to unlock the potential of their data, driving substantial business value. Acknowledged by Forrester and Gartner for our leadership in the analytics space, we are on the lookout for exceptional talent to help build the world’s premier analytics consulting team.We are currently seeking a skilled Data Engineer proficient in Dataiku to join our innovative data team. In this role, you will design, construct, and maintain data pipelines, integration processes, and infrastructure. Working closely with data scientists, analysts, and other key stakeholders, you will facilitate efficient data flow and empower data-driven decision-making throughout the organization.

Location: Toronto Metropolitan AreaBase Salary: $200,000 – $225,000 (CAD)Company OverviewAt Teragonia, we are revolutionizing the private equity landscape with our cutting-edge AI Operating System. Our mission is to empower sponsors and their portfolio companies to transform fragmented operational data into actionable insights that enhance EBITDA. Operating in a high-stakes environment where results must be delivered within a 3 to 5-year horizon, we leverage our proprietary AI platform, Astradis™, to unify both structured and unstructured data, providing near real-time prescriptive insights that seamlessly integrate into existing workflows.We collaborate with private equity firms managing over US$400 billion in assets, driving measurable improvements and maintaining continuous readiness for exits. Our approach replaces traditional consulting with an AI-driven platform that amplifies expertise across various sectors and ownership cycles. Teragonia is designed for high-agency builders who seek early responsibility, direct interaction with top-tier private equity firms and their executives, and the opportunity to shape the operational framework for value creation in the AI era.We pride ourselves on offering a comprehensive career development platform, fostering cross-learning in a diverse, inclusive, and collaborative environment. Our competitive compensation package is aligned with industry leaders, featuring 401k matching, comprehensive health insurance, and additional benefits. Read more about our mission, vision, and values.

Tiger Analytics is a leading analytics consulting firm that partners with several Fortune 100 companies, empowering them to derive significant business insights from their data. Our team consists of highly skilled consultants with extensive knowledge in Data Science, Machine Learning, and Artificial Intelligence. We have received recognition from renowned market research firms such as Forrester and Gartner for our innovative approaches and leadership in the analytics space.We are seeking passionate and driven Machine Learning Engineers to join our dynamic team.In this role, you will:Develop and implement solutions for deploying, executing, validating, monitoring, and enhancing data science initiatives.Design scalable and high-performance machine learning systems.Create reusable data pipelines for the seamless integration of machine learning models.Produce high-quality production code and libraries that can be containerized for deployment.

About Us:At Emburse, we don't just envision the future – we create it. As a premier provider of travel and expense solutions, our mission is to harness technology to generate business value and drive remarkable outcomes. Our innovative AI-driven platform empowers organizations to enhance financial operations, gain deeper insights, and manage expenditures effectively across the enterprise.As a Software Development Engineer in Test (SDET) at Emburse, you will play a crucial role in shaping an engaging and cohesive suite of system solutions. Your expertise will allow you to elevate customer experiences, tackle intriguing challenges, and devise innovative solutions. Renowned for our pioneering technologies and commitment to engineering excellence, Emburse offers you the opportunity to collaborate with some of the brightest professionals in the industry, fostering your growth and career advancement.