Business Analyst- eCommerce & Machine Learning

Job Title: Business Analyst Location: 700 Sylvan Ave Englewood Cliffs, NJ Onsite Job Type: Contract on W2 Only Duration : 6 months + Job Description Qualifications: • Experience building and maintaining infrastructure for training and deploying machine learning models. • 3+ years of experience in data manipulation using SQL, Python Preferred Qualifications: • Develop and manage cloud-based data solutions using platforms like AWS, Azure, or Google Cloud, Docker, Kubernetes. • Cursory knowledge of AI/ML algorithm frameworks and their applications. Interview Process: 3 rounds Round 1 intro and some technical eval with HM Round 2 - panel (will be on-site) HM and 1-2 others Round 3 - Sr director Top skills: SQL, Tableau, Python , Advanced level Tableau needed Qualifications • Bachelor’s degree in Engineering, Computer Science, Business, a related field • 3-8 years of hands-on experience in Data Analytics, specifically in Operations • 3-8 years of experience in data manipulation using SQL • 3-8 experience with design, execution, and measurement of A/B and multivariate tests • Experience in an eCommerce and/or Digital Commerce environment • Fluent in building reports and visualizations using Tableau (or similar BI tools) • Strong problem-solving ability • Excellent communication and data presentation skills Job Duties • Responsible for mining, developing and distributing data insights that will drive learnings and growth for the e-Commerce Operations Team. • Work closely with the Business Intelligence team to ensure data integrity, responsible for analyzing dashboards across Fulfillment, Returns, Operations, and NPS. • Develop customized Tableau dashboards as needed by Fulfillment Operations. • Identify Key Performance Indicators (KPIs), develop a holistic measurement plan, and historical benchmarking. • Analyze and develop insights for channel specific operations data using multiple data sources including Vertica, Tableau, Kibana, ecommerce business platform and other tools. • Responsible for various testing disciplines, including multivariate, A/B and user testing to validate hypotheses with data driven answers. • Utilize advanced knowledge of developing data driven insights to identify business growth opportunities. • Provide data-driven thought leadership to help the business identify areas to improve in terms of forward and reverse operations. Leverage predictive modeling techniques in the process. • Continually evolve analytics processes and tools; incorporate new sources of data to improve understanding Samsung’ digital business and operations. • Prepare reports and support stakeholders with deriving insights for WBRs (weekly business reviews). • Proactively work with business units and teams to understand and translate data-driven initiatives and potential ideas. Synthesize ideas and suggestions from stakeholders and users to determine what to build based on business priorities, strategy and vision Preferred Qualifications • MBA or Masters or in Analytics, Statistics, or other quantitative field • 5+ years of experience with statistical analysis and predictive modeling using tools such as R, STATA, SAS, Python, etc. Traits/Behaviors/Abilities For Success • Succinct/proactive/confident communication data-driven insights (translating data into “business speak”) to all levels of the business stakeholders from operational to executive • Experience working with cross functional teams to develop products and services. Ability to build interdepartmental relationships • Desire to make a difference, engage customers, shape a strategy and build the right solution • Exceptional critical reasoning, creative thinking and problem solving skills. • Familiarity with the identification and resolution of issues working with disparate sources of data and data quality issues • Ability to dig into the fine details of projects but also articulate strategy and vision • Familiarity with current data analytics technology and tools, and more importantly, you understand the point of it all – to produce solid insights to drive business decisions • High level of intellectual curiosity, boldness, and honesty, and comfort level with ambiguity • Ability to understand what we are building and why, i.e. you don’t take requests and issues at face value and know how to truly get to the core of the problem and act as a problem solver vs. a data provider • Self-starter mentality with the ability to deliver results under minimal supervision • You keep up to speed on the latest happenings in the big data landscape and can’t wait to pour through rich data sets to help make our products better, our users more informed, and our internal team more productive • You constantly think about experimentation and want to help drive a cultural of continuous testing • Focused on results and their implications (rather than methods/tools/process) • Comfort in reprioritizing items as situations evolve to maximize team’s impact • Ability to work with and influence partners from different cultures and working styles • Most importantly, you enjoy being an integral part of a fast-paced, collaborative team; possess an innate entrepreneurial spirit to explore the uncharted