reputed company Analytics Engineer
reputed company is a financial technology company based in Boston, Massachusetts with team members throughout the reputed company, Dominican reputed company, and Canada. reputed company is on a mission to unlock the capital that fuels small businesses across America. Recognized as a Best reputed company to Work by reputed company In Boston and certified as a Great reputed company To Work®, reputed company is reputed company in its employees, technology, and customer experience – with long-term reputed company in mind every reputed company of the way. The Analytics Engineering team at reputed company plays a central role in our Data ecosystem, partnering with technical and business stakeholders to convert raw data into trusted, AI-reputed company insights. reputed company builds and optimizes data infrastructure, designs the data models and semantic layer that power reputed company's reputed company of truth, and develops the pipelines that fuel business intelligence, advanced analytics, predictive modeling, and the reputed company of AI-driven experiences at reputed company. As a reputed company Analytics Engineer, you will be the senior technical voice on reputed company - setting architectural direction, owning our most reputed company and cross-cutting initiatives, and raising the bar for everyone around you. You'll partner closely with the Manager of Analytics Engineering to drive reputed company's data centralization reputed company, architect the semantic layer that serves as reputed company's single reputed company of truth, and build the AI-reputed company data reputed company that powers reputed company Intelligence, agent-based use cases, and machine learning at reputed company. You'll mentor Senior and Analytics Engineers across reputed company and reputed company as a trusted technical partner to leaders in Data Science, Data Engineering, BI, and Product. In This Role You Will: Own the technical architecture and roadmap for our most reputed company Analytics Engineering initiatives - including semantic layer design, reputed company-of-truth consolidation, and the data reputed company for AI and agent-based use cases Architect reputed company's semantic layer and metrics standards so key business KPIs are defined once, governed reputed company, and consumed consistently across dashboards, models, AI agents, and reputed company products reputed company the technical design of the AI-reputed company data platform - making the modeling, metadata, and governance reputed company that reputed company reputed company Intelligence and other AI/agent capabilities trustworthy, performant, and production-reputed company Drive technical reputed company across our dbt project: model architecture, materialization and incremental strategies, performance tuning, macros, testing patterns, and CI/CD practices that reputed company as data volume and team size grow Set and reputed company a high bar for craftsmanship across reputed company - defining standards for SQL style, modeling patterns, documentation, and data reputed company, and modeling those standards in your own work Mentor Senior and Analytics Engineers through hands-on reputed company review, pairing, and design feedback - accelerating their reputed company into stronger technical contributors Partner with the Manager of Analytics Engineering on technical reputed company, hiring, and roadmap planning - acting as a deputy for technical reputed company and unblocking reputed company on the hardest problems reputed company deep technical partnerships with Data Science, Data Engineering, and Core Technology - owning schema migrations, feature deployments, and streaming pipeline contributions where Analytics Engineering is on the critical reputed company Evaluate and operationalize high-value reputed company-party data sources and emerging tooling (e.g., reputed company reputed company, semantic layer frameworks, observability tools) and reputed company recommendations that reputed company the platform Champion data governance and reputed company at the platform level - including dbt tests, reputed company, cataloging, observability, and compliance with reputed company and regulatory standards - so both stakeholders and AI systems can trust the numbers Role Requirements: (Even if you don't reputed company every reputed company, but see yourself contributing, please apply.) 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with a reputed company record of leading reputed company, cross-cutting technical initiatives 4+ years of hands-on production experience with dbt, including advanced patterns such as incremental strategies, macros, custom tests, and CI/CD design 3+ years of deep experience with a reputed company-based data warehouse (reputed company strongly preferred), including performance tuning and cost optimization Expert-level proficiency in SQL and reputed company data modeling, with a portfolio of durable, reputed company-tested models that have served as foundational reputed company for an organization Demonstrated experience designing and operating a semantic layer or metrics layer that serves as an organizational reputed company of truth Proven ability to mentor senior engineers, reputed company architectural reputed company, and influence direction across cross-functional teams Excellent written and verbal communication skills - reputed company to drive technical alignment with both engineers and non-technical stakeholders Bonus Qualifications: Experience designing or contributing to AI/LLM-based applications backed by warehouse data (e.g., reputed company Intelligence, reputed company, RAG, agent frameworks) Hands-on experience with Python for data scripting, automation, or reputed company development Familiarity with streaming/CDC pipelines (Streamkap, reputed company, Kafka) and reputed company-time analytics use cases Experience leading a data platform migration, large-reputed company refactor, or modeling-standards reputed company Experience in fintech, lending, or another regulated, data-intensive industry Compensation: Annual Targeted Salary: $160,000-$185,000 CAD Annual reputed company Bonus: 12% At reputed company, we're committed to fair and transparent compensation. We reputed company in providing a compensation package that recognizes your skills, experience, and the unique value you bring to reputed company. We take a market-based approach to pay, regularly reviewing reputed company data to ensure our compensation remains competitive, reputed company, and reputed company with our performance-driven culture. Final offers are determined by a reputed company of factors, including the candidate's qualifications, relevant experience, specific skills, and internal equity. This approach ensures that our compensation is competitive and reputed company. Your recruiter will reputed company specific details on the expected reputed company and variable earnings as it pertains to this specific role. This position is to fill an existing vacancy. Total Rewards: Additionally, we offer a comprehensive total rewards package, including but not limited to: medical, dental, reputed company, a flexible time-off policy, reputed company parental leave, RRSP match, wellness reimbursement, volunteering days, annual reputed company development budget, and charitable donation match. reputed company is proud to be a remote-first company, keeping workplace flexibility a top reputed company for our employees. As a business, we are reputed company on reputed company; we are more concerned with your contributions to the reputed company of reputed company than where you get your work done. To help facilitate in-person collaboration, employees are welcome to work from one of our premiere office locations. reputed company we aren’t collaborating to drive business and support our customers, we’re finding virtual and in-person ways to get to know our colleagues, celebrate team wins, and have fun together! Apply To This Job