Staff Analytics Engineer at Boulevard

Prince Rupert, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

258750.0

Posted On

06 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Analytics Engineering, Machine Learning, Data Visualization, SQL, Python, Snowflake, Looker, Data Governance, Data Quality, Cross-Functional Collaboration, Problem-Solving, Data Modeling, Predictive Analytics, Anomaly Detection, Customer-Facing Reporting

Industry

Software Development

Description

Who is Boulevard? Boulevard provides the first and only client experience platform for appointment-based, self-care businesses. We empower our customers to give their clients more of the magical moments that matter most. Before launching in 2016, our founders spent months interviewing salon managers and working behind front desks to understand their pain points so we could design a modern, user-friendly platform that meets the unique needs of their business. Our roots may be in hair salons, but we are built for the broader self-care industry, including many types of salons, spas, medspa, barbershops, and more. Our technology not only helps our customers survive but thrive. Take a look at how we (and YOU) can make that happen. We have an insatiable curiosity and embrace experimentation. We believe that simple solutions require the most sophistication, and we design each and every detail to maximize potential, power, and impact. Do our values match? Read through our story and what we value the most. Our team values and celebrates our diverse backgrounds. Being open about who we are and what we do allows us to do the best work of our lives. We believe in equal opportunity for all, and you should too. Come do the best work of your life at Boulevard. We're hiring a Staff Analytics Engineer to architect and lead the analytics foundation powering Boulevard’s data ecosystem and data products. In this role, you'll own our analytical platform, data visualization, advanced machine learning capabilities, and the systems that enable data-driven products and decision-making across the company. Reporting to the Director of Data Engineering, you’ll play a critical role in architecting, designing, developing, and maintaining the data ecosystems and analytics capabilities that power customer-facing products. You’ll drive complex, high-impact data initiatives that enhance product performance and customer experience through actionable insights and robust analytical frameworks. This senior technical role demands extensive expertise in data architecture, analytics engineering, and practical machine learning applications. Domains of Ownership: Analytics Data Architecture - Design, build, and maintain foundational data models that serve as the single source of truth for analytics across both internal and external stakeholders. Cross-Functional Collaboration - Partner with Product, Engineering, and Analytics teams to scope and deliver new initiatives, develop analytics features, and create data-driven customer experiences. Scalable Data Products - Develop frameworks, tools, and workflows that enhance efficiency and scalability, ensuring high standards of data quality, consistency, and performance. AI Innovation & Actionable Insights - Translate business requirements into scalable data models, dashboards, and analytical tools. Proactively identify opportunities for anomaly detection, predictive analytics, recommendations, forecasting, and AI-driven innovation. Impact-Focused Solutions - Leverage modern analytics and development tools to deliver measurable business value quickly—while maintaining long-term scalability and maintainability. Key Projects & Initiatives: Customer-facing Data Products - Collaborate with Product Management and Engineering to deliver robust customer-facing reporting, dashboards, and analytics features. Snowflake Data Sharing - Design and implement secure, performant Snowflake data sharing solutions that empower customers to access and leverage data safely and efficiently. Data Visualization & Performance Optimization - Oversee data visualization platforms, optimizing data models and query performance to deliver fast, reliable, and intuitive analytics experiences. Machine Learning & AI Innovation - Develop and deploy machine learning solutions for recommendations, forecasting, anomaly detection, and predictive insights that enhance product intelligence. What you’ll do here: Technical Architecture - Lead complex data initiatives by transforming ambiguous business needs into scalable architectures, pipelines, and analytical models that deliver impact. Cross-Functional Collaboration: Partner with Product Management, Product Engineering, and Analytics to understand requirements and deliver analytics platform capabilities for both external and internal stakeholders. Data Modeling & Design: Drive key semantic modeling design decisions that balance current reporting needs with future scalability and adaptability. Machine Learning & Advanced Analytics - Design, train, and operationalize ML models for use cases such as forecasting, personalization, recommendations, and anomaly detection. Integrate these models into production pipelines and ensure continuous improvement through experimentation and monitoring. Data Standards & Quality - Establish and enforce best practices for data governance, cataloging, lineage tracking, and quality assurance across the analytics and ML ecosystem. What you'll need to thrive: Bachelor’s degree or higher in Computer Science, Information Technology, Data Science, or a related discipline 8+ years of professional experience in the data domain — including roles such as Analytics Engineer, Data Engineer, Data Scientist, or similar Proven track record of delivering customer-facing reporting, dashboards, and analytics capabilities in partnership with Product teams Deep expertise with modern data stack technologies such as dbt, Snowflake, SQL, Python, and Looker/Omni Strong understanding of modular and reusable data modeling best practices (e.g., star and snowflake schema design) Comprehensive knowledge of data governance, data quality frameworks, and analytics/security best practices Excellent problem-solving, communication, and cross-functional collaboration skills, with experience working on global teams How we'll take care of you: Your starting total cash (base salary + bonus) compensation for this role is between $181,000 - $258,750 USD, depending on your current skills, experience, training, and overall market demands. This salary range is subject to change, and there is always room for growth and advancement. In addition to the wonderful people you’ll get to work with and challenging projects that’ll push you - Boulevard is here to make sure you’re always at the top of your game emotionally, mentally, and physically. ✨ We’ve got you covered with a 401(k) match plus dental, medical, vision, and life insurance. 🏝 Take a break whenever you need with our flexible vacation day policy. 🖥 Fully remote so you can choose where you want to work. You’ll receive a work from home stipend every month. 💚 Family planning resources and specialized support programs. 🔮 Equity: get ahead on the ground floor and grow with Boulevard. 💅 Boulevard Bucks Learning and Development program allows employees to explore businesses in the market we serve. 📲 We recommend following our official LinkedIn page to stay up to date on all things Boulevard life! Boulevard Labs, Inc. is an Equal Opportunity Employer committed to hiring a diverse workforce and sustaining an inclusive culture. All employment decisions at Boulevard Labs, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Responsibilities

The Staff Analytics Engineer will architect and lead the analytics foundation for Boulevard’s data ecosystem and products. This role involves driving complex data initiatives that enhance product performance and customer experience through actionable insights.