Jobs → Engineering → Analytics Engineer

About the Role We are seeking an experienced Analytics Engineer to join our team. This role involves working closely with business stakeholders to understand data requirements and develop analytics solutions using semantic models and medallion architecture. Key Responsibilities • Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions • Communicate findings effectively to stakeholders primarily using Looker to ensure information is automated and not created manually • Work closely with business leaders to understand objectives and provide actionable recommendations • Design and implement data models, ensuring data integrity, accuracy, and consistency across multiple sources • Utilize advanced statistical techniques and leverage machine learning models to solve business challenges • Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes • Stay updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence • Quickly familiarize yourself with new datasets and efficiently provide valuable insights Requirements • Experience with DBT Cloud, Looker, and LookML • Experience with Airflow for data orchestration • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intensive quantitative field • 5+ years of experience in analytics, data management, business intelligence • Proficiency in SQL for querying and managing large datasets • Strong understanding of data modeling, statistical analysis, and data visualization • Proficiency in programming languages such as Python (preferred) or R for data analysis and automation • Master's degree a plus • Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders • Strong ability to translate analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners • Strong problem-solving skills and a results-driven approach • Excellent time management skills and keen attention to detail