Data Analytics Specialist for eCommerce Platform
1 week ago
Estimate Salary: $140,000 - $200,000 per year
Overview of the RoleWe are seeking a highly skilled Senior Business Intelligence Engineer to join our Data Engineering and Analytics team at eCommerce Services (eCS). As a key member of our team, you will play a crucial role in driving continuous improvement for critical systems that enable our entire retail business.
Job DescriptionThis is an exceptional opportunity for an analytical, results-oriented, self-motivated, and customer-focused professional to lead our analytics efforts and provide actionable insights to inform strategic business decisions. Your primary responsibilities will include defining, developing, and maintaining critical business and operational metrics, analyzing historical data to identify trends and support decision making, collaborating with software development teams to implement analytics systems, identifying data needs and driving data quality improvement projects, and providing thought leadership on data mining and analysis.
Key Responsibilities:- Defining and developing critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis
- Analysis of historical data to identify trends and support decision making
- Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports
- Identifying data needs and driving data quality improvement projects
- Thought leadership on data mining and analysis
We are looking for an experienced and technically skilled individual with 7+ years of business intelligence and analytics experience, strong SQL skills, experience with ETL, data visualization using Tableau or similar tools, and experience with R, Python, Weka, SAS, MATLAB, or other statistical/machine learning software. Preferred qualifications include 4+ years of working with very large data warehousing environment experience and 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT, and reporting/analytics tools and environments.
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