Top Data & Analytics Jobs

The Senior Data Engineer (Data Engineer III) at Chewy will be responsible for designing and optimizing data systems, managing data integration and management, providing collaborative leadership, mentoring peers, implementing innovative solutions, forming strategic partnerships, and following agile practices. The ideal candidate will have a Bachelor’s or Master’s degree in a related field, 5 years of data engineering experience with a focus on cloud environments and enterprise data warehouses, expertise in SQL and Python, and strong leadership and communication skills.

The Data Engineer III at Chewy will be responsible for developing and optimizing data systems, managing data integration and SSOT tables, providing leadership and mentorship, deploying innovative solutions, and collaborating with strategic partners. They must have a Bachelor's or Master's degree in a related field, at least 5 years of data engineering experience, expertise in SQL and Python, and strong problem-solving skills.

The Merchandising Analytics Manager will leverage large data sets to provide actionable insights supporting merchandising decisions. The role includes managing analytics initiatives, developing data products, conducting financial analyses, mentoring analysts, and optimizing customer experience and financial outcomes. Twenty-five percent domestic travel is required.

As a Data Scientist II, you will contribute to the entire data science lifecycle, focusing on data acquisition, analysis, and model development. Your role includes conducting exploratory analyses, constructing features, and building machine learning models while collaborating with cross-functional teams to deliver data-driven insights.

In this role, you will empower the Chewy Customer Care teams with data solutions, engaging in the entire data science lifecycle from data preparation to model deployment and analysis communication. You will conduct data analysis, build machine learning models, and collaborate with cross-functional teams to ensure data-driven decisions.

Design, develop, optimize, and maintain data architecture and pipelines, work closely with analytics teams and business partners, lead evaluation and implementation of data engineering tools and processes, mentor other data practitioners, document technical details of work

The Senior Healthcare Data Analyst will develop and enhance analytical solutions for strategic business insights, maintain data quality in the healthcare data warehouse, monitor customer behavior trends, and work with cross-functional teams to address data questions and produce actionable insights.