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Reporting into the Director of Analytics, the position will be responsible for designing, implementing and supporting an analytical data infrastructure providing ad-hoc access to large datasets and computing power.  The role will be responsible for extracting, transforming and loading data from a wide variety of data sources using SQL and AWS big data technologies.  This role needs a data-driven, strategic, flexible, curious and creative individual who is great at problem solving and synthesizing quantitative data into actionable insights. S/he is expected to thrive in a fast-paced environment with a strong focus on driving results. The right candidate will be excited about meeting aggressive goals and staying on top of a quickly evolving e-commerce landscape.

RESPONSIBILITIES

• Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
• Creation and support of real-time data pipelines built on AWS technologies including Redshift/Spectrum
• Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency
• Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.
• Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
• Contribute to the vision and further development of the Data Analytics and Insights practice
• Given a proven track record, this individual has the opportunity to advance quickly into a higher strategic role

MINIMUM QUALIFICATIONS

• 3+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
• Demonstrated strength in data modeling, ETL development, and data warehousing
• Experience using big data technologies (Hadoop, Hive, Hbase, Spark etc.)
• Knowledge of data management fundamentals and data storage principles
• Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos etc.)

PREFERRED QUALIFICATIONS 

• Degree/Diploma in computer science, engineering, mathematics, or a related technical discipline
• Experience working with AWS big data technologies (Redshift, S3, EMR)
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience working with distributed systems as it pertains to data storage and computing
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations