eCommerce Sr Analytics/Data Engineer

Primary Responsibilities: 

• Designs, tests, developments, manages and execution of complex data pipelines, reports and data visualizations for both internal operations and external client-facing tools. Strategizes and determines a course of action, assesses and resolves a wide range of issues, and provides counsel and advice as required
• Leads and executes  projects with minimal supervision, demonstrating strong project management and organizational skills
• Collaborates closely with business stakeholders to understand their data needs and translate them into effective and efficient solutions
• Builds strong relationships with team members using clear communication and fostering a collaborative and high-performing environment
• Creates fully formed, standardized tasks and adheres to company task management processes within project management tools
• Contributes to the development and maintenance of data governance policies, standards, and best practices within the organization
• Leads projects dedicated to the improvement of department processes and efficiency
• Effectively communicates complex technical concepts to both technical and non-technical audiences, including presentations and data visualizations
• Serves as an SME or Trainual content owner for multiple department-specific topics providing guidance and training to team members
• Mentors junior team members, fostering their development and ensuring alignment with team objectives
• Collaborates with cross-functional teams to identify and implement process improvements
• Stays updated on industry trends and engages in continuous learning to enhance technical skills and expertise
• Maintains or exceeds department-established performance standards
• Other duties as assigned

• Bachelor’s degree or Masters degree in Computer Science, Engineering, or a related field or equivalent work experience. Highly specialized knowledge of computer systems or software, and the ability to design, develop, document, analyze, create, test, and modify computer systems or programs
• More than five (5+) years of related experience in data analytics or related roles, two (2) years of which are highly relevant 
• Proven expertise in analyzing data and metrics to develop and communicate effective solutions clearly
• Expert proficiency in SQL and Python (or similar programming languages)
• Deep expertise in data transformation tools like dbt and cloud-based data platforms (e.g., AWS, GCP, Azure)
• Strong understanding of data warehousing concepts and data modeling techniques
• Experience with data version control tools (e.g., Git) and Agile development methodologies
• Excellent communication, presentation, and interpersonal skills
• Strong analytical, problem-solving, and critical thinking skills
• A strong work ethic, a passion for data, and a commitment to continuous learning
• Demonstrates excellent understanding of department practices, procedures, and specialized functions. Applies independent judgment in selecting methods and techniques for obtaining solutions for projects  
• Strong project management skills, with a track record of leading successful initiatives
• Proficiency in Microsoft Word, Excel, Google Docs, Sheets, or similar software
• Excellent organizational skills and the ability to manage multiple priorities effectively
• Proven ability to mentor and train team members