Senior Analytics Developer - People Analytics

Join Lattice as a Senior Software Engineer in Analytics, where you will play a crucial role in enhancing our analytical capabilities. We are looking for a passionate engineer who thrives in a collaborative environment and is eager to tackle complex technical challenges.

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

At Grafana Labs, we are a trailblazer in the world of open-source technology, with a thriving community of over 20 million users globally utilizing our powerful visualization tool, Grafana. Our software is pivotal in monitoring a diverse range of applications, from environmental changes to the intricacies of sports events like the Tour de France. Trusted by more than 3,000 leading organizations, including Bloomberg, JPMorgan Chase, and eBay, we provide exceptional solutions through our Grafana LGTM Stack, available via both Grafana Cloud and Grafana Enterprise Stack. We are rapidly expanding while staying true to our core values: an open-source heritage, a collaborative global culture, and a dedication to impactful work. Our team flourishes in an innovative atmosphere characterized by transparency, autonomy, and trust.If this role intrigues you, don’t hesitate to apply even if you don’t meet every single requirement. This could be a defining moment in your career.Note: This position is fully remote, and we are currently seeking applicants from Canadian time zones only.Senior Analytics EngineerAbout the Role:The Senior Analytics Engineer will play a crucial role in enabling our analysts and data-driven stakeholders by overseeing the architecture and infrastructure for data ingestion, transformation, testing, documentation, and connectivity across Grafana Labs. Effective collaboration with key stakeholders is essential to build a data stack that adapts to our business needs as we scale.Key Responsibilities:Manage and maintain the architecture and infrastructure of our data stack (including BigQuery, dbt, and Fivetran).Ensure the availability, accuracy, and accessibility of data essential for understanding and serving our stakeholders.Collaborate with teams such as GTM, Marketing, Finance, and BizApps to comprehend their data requirements and identify enhancements for our analytics stack.Become the primary expert on our data systems and processes.

Join Databricks, an innovative leader in data and AI, on our mission to simplify access to data and AI technologies. We are dedicated to transforming industries, from revolutionizing transportation to advancing medical breakthroughs, by providing the world's foremost data and AI infrastructure platform. Our engineering-driven culture fuels our relentless pursuit of solving technical challenges, whether it's enhancing the user experience with next-gen UI/UX or expanding our infrastructure to support millions of virtual machines.As we establish our new R&D center in Vancouver, we are on the lookout for exceptional engineers to help us democratize data and AI. This site is poised to become a cornerstone of product innovation at Databricks, with several strategic initiatives underway.The Vancouver team will focus on key areas, including:Log Analytics - Tackling the challenges of real-time petabyte-scale log analysis, encompassing the entire data processing pipeline from ingestion to user experience.AI/BI - Our AI/BI product is revolutionizing business intelligence with unmatched adoption rates, enabling rich dashboarding and advanced visualizations.Unity Catalog Business Semantics - Governing and managing enterprise data context through our innovative Unity Catalog, enhancing data modeling and AI enablement.Databricks Apps - Contributing to one of our fastest-growing products, with opportunities to work on low-level platform components and AI-driven app builder agents.

H2 Analytics is at the forefront of transforming how professionals prepare for high-stakes scenarios using cutting-edge simulation and data-driven technologies. We have developed the Exercise Architect Suite (EASE), which serves military, intelligence, law enforcement, and emergency response sectors by facilitating the creation of critical training exercises. Join our dynamic team where your coding skills drive exceptional performance, and innovation is a core value.About the Team and Role:We are launching a new Custom Projects team dedicated to developing innovative products aligned with our mission. To realize these greenfield projects, we seek versatile engineers capable of swiftly prototyping ideas and laying the groundwork for products that will enhance the EASE suite. We are eager to welcome a proactive Senior Developer to design and build data analysis tools for intelligence operatives.This position is hands-on; you will primarily engage in coding, system design, prototyping, and product deployment. The technologies, frameworks, and tools for these new systems are yet to be determined, and you will have a significant say in their selection and architectural approach.Our engineering team operates entirely remotely; while our headquarters are in Ottawa, you are welcome to visit. This role can be performed from any location in Canada with flexible hours, although core meetings will be based on Eastern Time. Occasional international travel may be required.About You:You are a well-rounded senior software engineer with at least 6+ years of experience in developing complex web applications and backend services as a full-stack engineer, including a minimum of 2 years in a senior capacity. We would also consider candidates with staff-level experience. You are confident leading intricate features, quickly building proof-of-concepts, and managing features comprehensively.We Look For:Exceptional architecture and design capabilitiesFull stack development proficiency with TypeScript and JavaScriptIn-depth knowledge of reactive UI frameworks (React, Vue, etc.)Extensive database experience (SQL/NoSQL), especially with PostgreSQL, PostGIS, and geospatial dataProven experience in developing REST APIsStrong background in Linux and Docker containersBachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience

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.

Role overview Create Music Group is looking for a Senior Analytics Engineer to join the Analytics & Insights team. This remote position (Canada) works closely with internal data teams and stakeholders across the company. What you will do Translate business needs into analytics solutions that can scale as the company grows Analyze and integrate data from a variety of datasets Optimize SQL queries for analytics and reporting purposes Take responsibility for analytics deliverables from start to finish Recommend improvements to data and reporting processes

Tiger Analytics stands at the forefront of AI and advanced analytics consulting, dedicated to helping Fortune 1000 companies tackle their most challenging business hurdles. Our mission is to redefine the potential of AI, delivering data-driven insights for a promising future. With a dynamic team of over 6,000 experts spanning five continents, we are committed to crafting innovative machine learning and data solutions on a global scale. Join us in making a significant impact and shaping the future of enterprise AI.As a Senior Agentic AI Engineer, you will be instrumental in fostering ideation, rapid prototyping, and the early-stage development of AI and GenAI initiatives. Our approach centers around customer-centricity and a human-centered perspective, guiding you to navigate the entire innovation lifecycle—from identifying problems to developing proof-of-concepts and transitioning to pilot phases. You will collaborate closely with business partners, platform engineers, product teams, and researchers.This role is highly interactive and hands-on, serving as a bridge between conceptualization and execution—utilizing platform capabilities, reference architectures, standards, and starter kits. You will significantly contribute to strategy formulation and recommendations through experimental assessments, effectively presenting insights to stakeholders with clarity and influence. Strong storytelling abilities and proficiency in creating engaging slide decks and pitch presentations are crucial for success in this position.

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.

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.