Staff Analytics Engineer, Boulevard
$181-258.8k
OTE
+ Equity
Business management platform for self-care businesses
Job no longer available
Business management platform for self-care businesses
201-500 employees
Job no longer available
$181-258.8k
OTE
+ Equity
201-500 employees
Company mission
To empower everyone to look and feel their best – one client, professional, appointment, and business at a time.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
- Echnical 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
Our take
Boulevard is a business management platform developed to help streamline the operations of appointment-based businesses, particularly spas and hairdressers. Boulevard addresses the challenges of spas and hairdressers by designing software that makes it easier to automate workflows, scheduling, and pricing, helping drive customers through their doors.
The global spa and salon market is projected to reach a market size exceeding $447 billion by 2032. Traditionally, appointment-based businesses have been heavily reliant on paperwork and receptionists, but Boulevard is looking to modernise the industry by helping drive efficiencies, profit, and a better customer experience.
Boulevard is one in a sea of companies offering software to digitise appointment-based businesses. However, the substantial funding it's raised across multiple rounds and a 500% increase inrevenue over three years demonstrates that it has maintained traction in the market as it grows. Its most recent investment is earmarked for growth in major self-care verticals and to fuel AI R&D. To bolster its offering in a competitive marketplace, Boulevard launched Boulevard Capital in 2024, a growth funding platform for businesses that use its booking software.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jul 2025
$80m
SERIES D
Aug 2022
$70m
SERIES C
Total funding: $188m
Company benefits
- Premier Health Benefits - 100% coverage plan options from Blue Shield of CA, Beam, and VSP
- Flexible Vacation & PTO
- Quarterly Bonus - Get rewarded when we reach our revenue targets
- 401k Match
- Boulevard Bucks - Get $200 to experience a Boulevard partner or self-care provider every quarter
- $250 upon signing and $75 monthly for your home workspace
- Fully Remote
Company HQ
Central LA, Los Angeles, CA
Leadership
Matt Danna
(CEO)Started their career with 6 years in Product at DeviantArt, before working at Fullscreen as VP of Product. After brief Product Consultancy roles, they co-founded Boulevard as CEO in February 2016.
Sean Stavropoulos
(CTO)They studied at California Polytechnic before working as a Honeywell Aerospace Systems Engineer and in Engineering at Fullscreen for almost 3 years. They spent a year as a Startup Consultant before co-founding Boulevard with Matt.
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