Staff Analytics Engineer

Role overview Cozey is hiring a Staff Analytics Engineer to help shape the future of analytics engineering within the company. This position is based in Canada and reports directly to Frank Joly, Director of Data Engineering. The role centers on building and maintaining the data models, pipelines, and frameworks that inform business decisions. Setting technical standards for data structure, documentation, and trust is a key part of helping teams work efficiently and confidently. What you will do Design, build, and maintain scalable dbt data models that serve as the single source of truth for important business metrics. Collaborate with teams across Cozey to make sure data remains accurate and accessible. Lead initiatives to improve data quality, reliability, and the efficiency of analysis. Reporting line This position reports to Frank Joly, Director of Data Engineering. Location This role is open to candidates based in Canada.

Join Luxury Presence as a Staff Analytics Engineer and play a pivotal role in enhancing data-driven decision-making across our organization. As a part of our dynamic team, you will leverage your expertise in analytics to develop innovative solutions that drive business growth and optimize our operations.In this fully remote position, you will collaborate with cross-functional teams to analyze complex datasets, create insightful reports, and implement analytical tools that empower stakeholders. Your contributions will directly impact our strategic initiatives and help us maintain our position as a leader in the luxury real estate technology space.

Affirm is looking for a Staff Analytics Engineer to support the Subledger Platform. This remote role in Canada centers on building analytics solutions that strengthen financial reporting and compliance for the finance team. Role overview This position focuses on using analytical expertise to help the finance team make informed decisions. The work includes developing analytics tools and processes that improve how financial data is reported and ensure compliance standards are met. Collaboration Working closely with cross-functional partners, the Staff Analytics Engineer will contribute to projects that support both growth and operational improvements across the organization.

About FaireFaire is a pioneering online wholesale marketplace that champions the belief in localized commerce. Our mission is to empower independent retailers globally, who collectively generate more revenue than giants like Walmart and Amazon, by providing them with the technology, data insights, and machine learning tools they need to thrive. Imagine your favorite local boutique — we connect them with exceptional products from around the world, leveling the playing field against large retail and e-commerce giants. We believe that with the right tools, small businesses can compete effectively in today's market.By nurturing the growth of independent businesses, Faire is driving positive economic impact in local communities worldwide. We invite innovative, resourceful, and passionate individuals to join our mission as we lead the shop local movement. If you share our belief in the power of community, we would love to welcome you to ours.About this RoleOur Engineering organization is responsible for the software that powers our marketplace. The Platform group supports various teams across Faire, including Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance, ensuring they can perform at their best without worrying about the underlying infrastructure. We empower product engineering teams to develop and operate software with unparalleled speed and quality, emphasizing strong engineering practices, an excellent developer experience, security, testability, ease of maintenance, and scalability to serve millions of users. We are committed to best practices to ensure optimal availability and performance.This role is ideal for a seasoned technical leader in the data domain, with influence across multiple Platform and Product groups.Within the Platform group:The Data Infrastructure team is tasked with building and managing a secure, reliable, and cost-effective platform for data ingestion, storage, compute, orchestration, and governance.The Analytics Platform team focuses on creating effective data warehousing capabilities, essential data assets, and tools designed to expedite data-driven analytics, with a goal of minimizing the time from data acquisition to insights.Additionally, this role involves influencing and collaborating with all data and analytics functions at Faire. The Product Analytics Engineering (PAE) function enables domain...

Tiger Analytics is a rapidly expanding advanced analytics consulting firm renowned for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We pride ourselves on being the analytics partner of choice for multiple Fortune 100 companies, helping them derive significant business value from their data. Our leadership and business impact have been acknowledged by prominent market research entities, including Forrester and Gartner. We are on the lookout for exceptional talent to enhance our global analytics consulting team.We are currently seeking a highly skilled Data Engineer with extensive experience in Dataiku to join our dynamic data team. In this pivotal role, you will be responsible for designing, constructing, and sustaining robust data pipelines, integration processes, and infrastructure. Your collaboration with data scientists, analysts, and other key stakeholders will be essential to ensure a seamless flow of data and to facilitate data-driven decision-making throughout the organization.

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.

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.

Role overview Elastic NV is seeking a Principal Analytics Engineer based in Canada. This position centers on developing analytics solutions that inform strategic choices throughout the company. Collaboration with teams from various departments is a key part of the job, ensuring that data remains accurate, accessible, and ready for analysis. What you will do Design and build analytics systems that align with business objectives Collaborate with colleagues across different functions to deliver insights based on data Uphold strong standards for data integrity and accessibility Turn complex analytical findings into clear, actionable recommendations for stakeholders Requirements Extensive experience with data modeling and ETL processes Expert-level knowledge of advanced analytics techniques Skilled at explaining technical results to both technical and non-technical audiences

Role Overview Fullscript is hiring a Senior Analytics Engineer for the Analytics Enablement team in Ottawa, ON. This role centers on building and refining data pipelines that help teams across the company make informed decisions. The position calls for strong experience in both data engineering and analytical frameworks. What You Will Do Work with cross-functional teams to design, build, and optimize data pipelines. Enable stakeholders to access and use actionable insights for strategic planning. Support the company’s decision-making with reliable, well-structured data solutions.

Role Overview Arc'teryx Equipment Inc. is hiring an Analytics Engineer focused on Retail Analytics for the North Vancouver, BC corporate office. This hybrid role sits within the Retail Capabilities Department and reports to the Senior Manager, Retail Analytics. The Analytics Engineer will play a central role in shaping business intelligence efforts for our retail operations. The position involves designing, implementing, and enhancing advanced reporting and analytics solutions that support decision-making across the organization. What You Will Do Collaborate with the Senior Manager of Retail Analytics and cross-functional partners in FP&A, Operations Solutions, and Technology to deliver impactful analytics projects. Develop and refine reporting frameworks that turn raw data into actionable business insights. Integrate data analysis with business strategy to support improvements in vertical retail operations. Work within an agile environment to create and execute comprehensive analytics solutions. Who You Are Experienced in retail analytics, finance, or workforce planning. Comfortable working in a collaborative, agile setting. Skilled at translating complex data into clear, meaningful insights for business stakeholders. Eligible to work in Canada. This position is based in North Vancouver and follows a hybrid work schedule. About the Team The Retail Capabilities team develops and executes scalable strategies that align with Arc'teryx's business goals. Serving as a bridge between retail locations and cross-functional partners, the team ensures that projects and initiatives remain coordinated to guide the ongoing evolution of our retail fleet.

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.

About DialpadDialpad is the premier AI-driven platform for customer communications, revolutionizing the way businesses interact with their clients. Over 50,000 organizations worldwide, including industry giants like Netflix, RE/MAX, Uber, Randstad, and Tractor Supply, trust Dialpad to enhance customer engagement through real-time AI-powered insights. Explore more at dialpad.com.Join the Dialpad TeamAt Dialpad, you will collaborate with a dynamic team committed to our mission of ensuring the success of our customers and their teams. We value every conversation and are enhancing each interaction with a platform that delivers real-time insights and automation.We embrace a culture of continuous growth, where every employee harnesses cutting-edge AI to refine our platform and their own capabilities. We seek ambitious individuals who not only meet our high standards but exceed them. Our aspirations are high, and achieving them necessitates a team that operates at peak performance. We look for candidates who embody key traits vital to our success: Scrappy, Curious, Optimistic, Persistent, and Empathetic.Your RoleAs an Analytics Engineer, you will play a critical role in our data analysis and QA team, providing essential data support for our innovative Agentic AI projects, particularly within the ASR and NLP teams. Your primary focus will involve utilizing data analysis to identify and optimize conversational flows and the foundational data infrastructure for agentic voice and chat solutions. You will actively pursue opportunities to enhance the team's productivity and workflows through automation and process optimization, including the implementation of automated QA for our agentic systems.This position reports to the manager of the Data Analysis and QA team and is based in our Vancouver, Canada office.

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.

About FaireFaire is a dynamic online wholesale marketplace driven by the conviction that the future is local. Independent retailers across the globe are generating more revenue than Walmart and Amazon combined. However, individually, they appear small next to these retail giants. At Faire, we harness the power of technology, data, and machine learning to bridge the gap for this vibrant community of entrepreneurs worldwide. Imagine your beloved local boutique — we assist them in discovering the finest products from around the globe to stock in their stores. With the right tools and insights, we empower small businesses to compete with large-scale retailers and e-commerce platforms.By fostering the growth of independent businesses, Faire is making a positive economic impact in communities everywhere. We are in search of intelligent, resourceful, and passionate individuals to join us in driving the shop-local movement. If you value community, we invite you to become part of ours.About this Role:Our Engineering organization is responsible for the software that powers our marketplace. The Platform group supports various teams at Faire, including Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance, enabling them to excel without the worry of underlying infrastructure. We empower product engineering teams to develop and operate software with unmatched speed and quality, emphasizing good engineering practices, superior developer experience, security, testability, maintainability, and scalability to support millions of users. We are committed to best practices that ensure exceptional availability and performance.The Analytics Platform team is tasked with building capabilities that enhance data-driven analytics, boosting productivity and accuracy at Faire. Our goal is to minimize the time from data collection to actionable insights.The team concentrates on the following areas and capabilities:Optimization of data warehousing, including performance, efficiency, and costEstablishment of data quality, metadata enrichment, lineage, and privacy capabilitiesDevelopment of tools and capabilities to enhance the productivity of analytics experts and automate analytics functionsCreation of development patterns and practices for foundational assetsIncorporation of data security, privacy, and governance elementsAdditionally, the team manages relationships with select infrastructure vendors.

Are you prepared to launch a career that makes a genuine impact around the globe? At Trulioo, we invite you to become a driving force for change in the rapidly evolving sector of digital identity verification. As the leading global entity in our field, we are transforming the way businesses expand, innovate, and ensure compliance online.Envision yourself at the cutting edge of innovation, playing a crucial role in our award-winning platform that empowers organizations worldwide to swiftly onboard customers, reduce costs, and prevent fraud. Backed by Silicon Valley, Trulioo is the trusted platform capable of verifying over 5 billion individuals and 700 million business entities across 195 countries.However, Trulioo is more than just a technology company. We are a collective of devoted professionals working together to build trust online, and we proudly hold the title of a BC Top Employer for the second consecutive year, showcasing our dedication to fostering an inclusive, collaborative, and people-centric workplace.With our headquarters in Vancouver and strategic offices in San Diego and Dublin, we cultivate a culture of teamwork and open dialogue. Our work environment supports a hybrid model, where staff typically work three days a week from a hub location. Join us where enthusiasm converges with innovation and help create a world where trust and technology come together.

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.

Tiger Analytics is a premier analytics consulting firm recognized for transforming data into actionable business strategies. As a trusted partner to numerous Fortune 100 companies, we empower organizations to harness the full potential of data through our expertise in Data Science, Machine Learning, and AI. Our innovative approach has garnered accolades from leading market research firms such as Forrester and Gartner.We are actively seeking a dynamic individual who combines strong business consulting acumen with a solid background in data analytics. If you thrive on tackling complex business challenges with data-driven solutions, we want to connect with you.Key Responsibilities: Utilize cutting-edge data science applications to address business challenges within the Pharma and Lifescience sectors. Engage directly with client stakeholders to convert business challenges into strategic analytics solutions. Employ advanced analytics methodologies and best practices to facilitate data-driven decision-making. Leverage analytics to provide actionable insights, including ROI assessments, digital KPI tracking, and campaign performance evaluations. Utilize complex data for decision-making, with hands-on experience in data science techniques such as predictive analytics and machine learning, employing tools like R, Python, and Databricks, alongside proficiency in visualization platforms like Qlik, PowerBI, and Tableau. Possess familiarity with essential pharma data sources such as Veeva and IQVIA, including real-world data sources like TriNetX and Flatiron. Exhibit a proven ability to translate strategic insights into actionable plans, demonstrating excellent analytical skills and simplifying complex issues for diverse audiences. Collaborate with various management levels and consult with key business stakeholders. Present analytic solutions effectively to business audiences, emphasizing the value and robustness of the solutions. Contribute to team discussions to select appropriate analytic techniques and generate actionable business insights. Prepare and deliver presentations to senior management, effectively communicating results and strategies to operationalize analytics solutions. Qualifications:8 to 13 years of professional experience, with a minimum of 7 years dedicated to data analytics.In-depth understanding of pharma datasets, KPIs, and insights required across various HQ and field roles, including commercial, PSS, and market access.Strong SQL skills and practical experience with analytic tools such as R and Python, in addition to visualization tools like Power BI and Tableau.Comprehensive understanding of standard data sources, particularly pharmacy, HUB, CRM, and IQVIA datasets.