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Experience Level
Senior
Qualifications
Proven experience as an Analytics Engineer or in a similar role, with a strong understanding of data modeling and ETL processes. Expertise in SQL and experience with data visualization tools such as Tableau or Power BI. Familiarity with programming languages such as Python or R for data manipulation. Strong analytical skills and the ability to translate complex datasets into clear insights. Excellent communication skills, capable of conveying technical concepts to non-technical stakeholders. Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
About the job
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.
About Fullscript
Fullscript is a leading technology platform that empowers healthcare providers to prescribe supplements and wellness products to patients. Our mission is to help practitioners and patients achieve better health outcomes through the integration of technology and personalized care.
Full-time|CA$168K/yr - CA$231K/yr|On-site|Toronto, ON
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 …
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.
Join Warner Music Group, a dynamic global hub for music creators and enthusiasts, where we transform aspirations into reality and cultivate dedicated audiences. Our organization thrives on three fundamental principles that guide us in all our varied ventures:• Curiosity: Our creativity flourishes when we engage deeply with culture and challenge limits. Curiosity drives our innovation and shapes our future.• Collaboration: The essence of music making is teamwork; a brilliant idea, like a hit song, resonates globally. We foster connections among a diverse community of artists, songwriters, collaborators, and supporters.• Commitment: We strive for excellence for our team and our artists. The journey in music begins with a bold step into the unfamiliar, and we are dedicated to integrity, trust, and fulfilling our commitments.Technology is integral to our operations. From empowering our songwriters to ensuring accurate royalty data for global partners, to equipping our creative teams with cutting-edge AI tools for talent discovery—technology is pivotal to our achievements. As Product Managers, we transform visions into tangible outcomes.Warner Music Group is proud to support a diverse array of artists, musicians, and songwriters who drive our success. We are dedicated to fostering a work environment that values, respects, and appreciates all individuals. We warmly welcome applications from candidates with diverse backgrounds and experiences.Consider a career at WMG and experience the unique blend of an innovative global music company with the creative spirit of a nimble independent.
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.
Tiger Analytics is a premier analytics consulting firm recognized for its expertise in advanced analytics. As a trusted partner for numerous Fortune 100 companies, we empower our clients to harness the power of data to drive business value. Our consultants possess extensive knowledge in Data Science, Machine Learning, and Artificial Intelligence, with our leadership acknowledged by top market research firms, including Forrester and Gartner.We are seeking a dynamic individual who combines strong business consulting skills with a solid background in data analytics.Key Responsibilities:Apply cutting-edge data science methodologies to address complex business challenges.Collaborate directly with client stakeholders to convert business issues into high-level analytics solution designs.Deliver presentations of analytic solutions to business audiences, emphasizing their robustness and potential business impact.Manage analytics projects effectively, partnering with client stakeholders and Tiger's global team.Engage in discussions with team members to choose appropriate analytic techniques and derive actionable business insights.Present findings to senior management, communicate results to business teams, and devise strategies for operationalizing analytic solutions.
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.
About Tailscale Tailscale is revolutionizing the Internet by providing innovative software that seamlessly connects individuals and their devices securely, regardless of their location. From individual enthusiasts to large corporations, teams of all sizes rely on Tailscale daily to safeguard their networks and facilitate access to internal tools. We're committed to creating a simplified, sensible, and secure future for the Internet, reminiscent of its earlier days. Established in 2019 and operating fully remotely, we are supported by notable investors such as Accel, CRV, Insight, Heavybit, and Uncork Capital.Job DescriptionWe are seeking a proactive Analytics Engineer who excels in dynamic, complex environments and possesses a knack for clarifying ambiguity. You will become a vital member of our expanding data team, tackling various high-impact challenges across billing, finance, product, go-to-market (GTM), and business operations.If you are someone who poses insightful questions, delves deep to comprehend operational mechanics, and enjoys converting vaguely defined user issues into efficient, scalable data solutions, we want to hear from you. You will not shy away from questioning norms, re-evaluating processes, or navigating intricate systems. Your work will enhance team performance through pristine models, automated workflows, and dependable data.This position is ideal for an individual with substantial experience in delivering production-grade analytics engineering work, eager to expand their responsibilities and influence as our team grows.
Tucows (NASDAQ: TCX, TSX: TC) is one of the largest Internet companies you may not have heard of. Originally starting as a simple shareware site in 1993, we have since evolved into a diverse portfolio of businesses including Tucows Domains, Ting Internet, and Wavelo. At Tucows, we prioritize a people-first philosophy grounded in respect, trust, and flexibility. We believe that accommodating our employees' needs ultimately benefits the organization. That’s why most of our positions are remote-first, allowing you the freedom to work from anywhere with an Internet connection! Today, our dedicated team of over one thousand professionals spans more than 20 countries, all working together to enhance the Internet experience. If this excites you, we invite you to join our team! About the Opportunity We are on the lookout for a skilled and adaptable Analytics Engineer to join our innovative team. In this pivotal role, you will leverage your advanced analytics skills to derive actionable insights from raw data. The ideal candidate will possess a robust background in data engineering, analytics, and machine learning, with a keen ability to facilitate data-driven decision-making across the organization. Your Responsibilities Data Modeling & Pipelines: Design, develop, and sustain complex data models in our Snowflake data warehouse. Utilize dbt (Data Build Tool) to construct efficient data pipelines and transformations for our data platform. Snowflake Intelligence Integration: Harness Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to create conversational data queries and AI-driven insights within our data environment. Develop AI solutions to capitalize on these capabilities for extracting valuable business insights. Advanced SQL & Analysis: Create and execute sophisticated SQL queries to retrieve and manipulate intricate data sets. Analyze extensive datasets to identify patterns, trends, and opportunities that drive strategic decision-making. Business Intelligence (BI): Develop, maintain, and optimize Looker dashboards and LookML to effectively convey data insights. Utilize Looker’s conversational analytics and data agent features to empower stakeholders to interact with data using natural language queries. Cross-Functional Collaboration: Effectively engage with stakeholders to comprehend business requirements and deliver data-driven solutions. Identify opportunities to implement AI/ML/NLP technologies in partnership with product, engineering, and business teams.
Fullscript is seeking a Senior Analytics Engineer specializing in Operations & Distribution. In this pivotal role, you will leverage your analytics expertise to optimize operational processes and enhance distribution strategies. You will work closely with cross-functional teams to transform data into actionable insights, driving efficiency and scalability in our operations.
At Affirm, we are transforming the credit landscape, making it more straightforward and consumer-friendly. We empower individuals to purchase now and pay later without the burden of hidden fees or escalating interest rates.The Data and Storage Services team at Affirm plays a pivotal role in addressing all our data requirements, spanning Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP). This encompasses everything from essential online checkout databases to Batch Orchestration, Streaming Infrastructure, Event-Driven Frameworks, Business Intelligence, and analytics tools and systems. Our mission is to deliver reliable, user-friendly, and cost-effective solutions enabling Affirm employees to secure, store, analyze, and transform data at an exceptional scale.We are in search of a seasoned Engineering Leader to guide our expanding Data and Storage Services organization, particularly our Lakehouse Analytics team. You will leverage your extensive management experience to successfully execute complex technical roadmaps over multiple quarters. Comfort with ambiguity and the ability to navigate tight deadlines while crafting strategies and driving execution are essential qualities. You will collaborate with your teams and product stakeholders to define future architectural and organizational states that align with our scalability goals. Decision-making will be balanced between our forward-thinking vision and the current critical business and technology needs.
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.
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.
Tucows Inc. (NASDAQ:TCX, TSX:TC) is a prominent yet perhaps under-the-radar player in the Internet industry. Established in 1993 as a simple shareware site, we have evolved into a diverse portfolio of businesses, including Tucows Domains, Ting Internet, and Wavelo. We are dedicated to a people-first approach, founded on principles of respect, trust, and flexibility. Our belief is that the best outcomes arise when our employees thrive in their work environments. This philosophy has led us to adopt a remote-first culture, allowing you to work from any location with Internet connectivity! Currently, our team comprises over one thousand professionals spanning more than 20 countries, all committed to enhancing the Internet experience. If this resonates with you, we'd love for you to join us! About the Opportunity We are on the lookout for a skilled and adaptable Analytics Engineer to become a vital part of our innovative team. In this role, you will leverage your advanced analytical skills to derive actionable insights from raw data. The right candidate will possess a solid foundation in data engineering, analytics, and machine learning, enabling them to facilitate data-driven decision-making across the organization. Key Responsibilities Data Modeling & Pipelines: Design, develop, and maintain intricate data models within our Snowflake data warehouse, employing dbt (Data Build Tool) to construct effective data pipelines and transformations. Snowflake Intelligence Integration: Utilize the features of Snowflake Intelligence (such as Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to implement conversational data queries and AI-driven insights within our data environment. Develop AI solutions that utilize these capabilities to glean valuable business insights. Advanced SQL & Analysis: Craft and execute sophisticated SQL queries to manipulate and retrieve complex datasets. Analyze large datasets to reveal patterns, trends, and opportunities, guiding strategic decision-making. Business Intelligence (BI): Create, maintain, and optimize Looker dashboards and LookML to effectively present data insights. Use Looker’s conversational analytics and data agent features to empower stakeholders to engage with data through natural language queries. Cross-Functional Collaboration: Engage and communicate effectively with stakeholders to comprehend business needs and deliver data-driven solutions. Spot opportunities for the integration of AI/ML/NLP technologies in collaboration with product, engineering, and business teams.
Full-time|Remote|Alberta, Canada; British Columbia; Calgary, Alberta, Canada; Ontario; Texas; Toronto; Vancouver; Washington
Join StackAdapt, a pioneering technology company dedicated to empowering marketers to effectively reach, engage, and convert audiences with precision. Our AI-driven StackAdapt Marketing Platform executes an astonishing 465 billion automated optimizations per second, seamlessly integrating brand and performance marketing to deliver measurable results throughout the customer journey. Forward-thinking marketers trust StackAdapt to orchestrate impactful campaigns across programmatic advertising and various marketing channels.About the Data Delivery Team:The Data Delivery team operates within the Stats & Analytics Core Services department of our backend engineering organization. We are responsible for building scalable and reliable data systems that underpin reporting, billing, pacing, and analytics across the platform, leveraging a modern technology stack including Golang, Kafka, TiDB, and more.Our focus is on transforming foundational data into trusted, customer-facing data products. Collaborating closely with product managers and the Web Platform team, we develop data pipelines and APIs that ensure data is accessible, reliable, and actionable for internal teams and advertisers alike.If you have a passion for building customer-facing data systems and enjoy collaborating with product teams, this opportunity is perfect for you.StackAdapt embraces a Remote First culture, welcoming candidates from anywhere in the United States or Canada for this role.What You'll Be Doing:Leading projects in collaboration with product and engineering teams through requirements gathering, design, implementation, and delivery.Creating highly scalable, distributed real-time microservices to support dashboards, reporting, and analytics.Designing and developing ETL pipelines that enhance data and generate business-oriented insights.Handling large datasets using technologies like TiDB, Redshift, and Vitess, with future opportunities to work with Iceberg, StarRocks, and Trino.Optimizing data models, pipelines, and queries for improved performance and efficiency.
Full-time|Remote|Alberta, Canada; British Columbia; Calgary, Alberta, Canada; Ontario; Texas; Toronto; Vancouver; Washington
At StackAdapt, we are at the forefront of marketing technology, enabling marketers to precisely engage and convert their audiences. With an astounding 465 billion automated optimizations executed every second, our AI-driven StackAdapt Marketing Platform bridges the gap between brand and performance marketing, delivering measurable results throughout the customer journey. The most innovative marketers partner with StackAdapt to execute high-impact campaigns across diverse programmatic advertising and marketing channels.We are on the lookout for a Senior Software Engineer to become a vital member of our Stats & Analytics Data Platform team — the backbone of our extensive data infrastructure at StackAdapt. This team processes terabytes of data daily, catering to both real-time and batch processing needs. Our data platform guarantees the freshness, accuracy, and cost-effectiveness of data, ensuring that analytics, machine learning, and product teams can rely on trustworthy, governed datasets.As a remote-first company, StackAdapt welcomes candidates from all over the United States and 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
Hello! We are Fever, the world's premier technology platform focused on culture and live entertainment.Our mission? To make culture and entertainment accessible to everyone. With our state-of-the-art technology and data-driven strategies, we're transforming how people interact with live events. Every month, our platform encourages over 300 million users in more than 40 countries to explore unforgettable experiences while equipping event creators with our advanced tools to scale, innovate, and engage new audiences.Our accomplishments? We've partnered with major industry players such as Netflix, F.C. Barcelona, and Primavera Sound, delivered internationally recognized experiences, and secured backing from top global investors! Impressive, isn't it?To fulfill our mission, we're seeking driven individuals with a proactive approach who are excited to help shape the future of entertainment!Are you ready to join us on this journey?You will:Establish and nurture robust business relationships with key music industry players, nightlife venues, and clubs.Craft and implement a growth strategy for the market, utilizing innovative approaches to expand Fever's influence in the music sector.Skillfully oversee commercial strategies with major partners to ensure mutual value creation.Demonstrate exceptional organizational skills to efficiently manage and grow a diverse client base.Work collaboratively with cross-functional teams to effectively drive partner growth across Canada and internationally.Stay informed of exciting developments in the music industry; consider yourself a go-to expert on new and trending exhibitions and experiences.
Tiger Analytics is a premier analytics consulting firm recognized for its expertise in transforming data into actionable insights. As a trusted partner for multiple Fortune 100 companies, we empower organizations to harness the power of data through advanced analytics, machine learning, and AI solutions. Our accomplishments have garnered accolades from leading market research firms, including Forrester and Gartner.In the capacity of Senior AI Business Process Engineer within our Data Solutions Team, you will play a pivotal role in reevaluating and reinventing essential business processes to facilitate automation and AI integration. This position calls for a blend of business process acumen and technical proficiency, enabling you to model, implement, and advocate for revamped processes. You will analyze existing workflows, prioritize opportunities for enhancement, and oversee the progression of initiatives from ideation to realization while engaging and influencing various stakeholders. Your efforts will ensure that processes are not only scalable and AI-ready but also compatible with our Process Orchestration Engine, thereby maximizing the potential of decision automation and AI agents. By establishing a continuous feedback mechanism, you will monitor and evaluate the efficacy of implemented processes and make necessary adjustments. This role is intricately linked to our enterprise data foundation, leveraging a robust semantic data model to ensure that redesigned processes adhere to company-wide data standards and yield optimal value. You must be prepared to rethink processes fundamentally and possess the audacity to suggest innovative changes that challenge conventional norms.
Full-time|$228K/yr - $313.5K/yr|On-site|Kitchener-Waterloo, ON; Toronto, ON
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...
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.
