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Boulevard

Staff Analytics Engineer (San Ramon)

Boulevard, San Ramon, California, United States, 94583

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Company Description Boulevard is the fastest-growing client experience platform, designed to empower appointment-based self-care businesses like salons, spas, and medspas nationwide. Our innovative platform combines online appointment scheduling, seamless business management, marketing, and payments to deliver personalized and reliable solutions. Developed in collaboration with industry leaders, we prioritize driving revenue, automating workflows, and enhancing customer experiences. Headquartered in Los Angeles, Boulevard is a venture-backed startup thats challenging norms to advance the intersection of beauty and technology. Join us as we help businesses provide exceptional, meaningful moments for their clients.

Role Description As a Staff Analytics Engineer, you will play a key role in developing and maintaining data analysis tools and infrastructure to support Boulevards business objectives. Your daily responsibilities will involve building and optimizing scalable data pipelines, performing data modeling tasks, supporting Extract, Transform, Load (ETL) processes, designing effective data warehouse solutions, and conducting in-depth data analytics to support decision-making. This is a full-time, on-site role located in San Ramon, CA.

Qualifications Proficiency in Data Engineering and experience with building scalable data solutions. Strong knowledge of Data Modeling and implementing structured data solutions for analytical use. Hands-on experience with Extract, Transform, Load (ETL) processes and ensuring efficient data integration workflows. Expertise in developing and maintaining Data Warehousing solutions and managing large datasets. Solid understanding and application of Data Analytics to generate actionable business insights. Proficient in SQL and programming languages such as Python or Scala. Comprehensive knowledge of cloud technologies and platforms like AWS or GCP. Excellent problem-solving skills and ability to effectively communicate technical concepts to various stakeholders. A Bachelors or higher degree in Computer Science, Engineering, Data Science, or a related field is preferred. Relevant professional experience may be considered.