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Ecommerce Data analyst

Job ID: 23-03398
Pay rate range - $70/hr. to $75/hr. on W2

Job Description: Data analyst

Top 3 must-haves:
1) SQL
2) Tableau
3) Communication

As the E-commerce Data analyst, you will be the part of e-commerce front-end product team for helping optimize our digital product toolkit, creating unique, personalized web experiences for our customers, and supporting existing product launches by contributing through our internal enterprise data and analytics capabilities.
You'll be deep diving into datasets and monitoring performance to understand our customer behavior, identifying and sharing insights with the team, and proposing new digital products and optimizations

Qualifications
You're a data-obsessed Data analyst who thinks about the best ways to leverage data for insights and improving product experiences.
You are familiar 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.
You have a high level of intellectual curiosity and a comfort level with ambiguity.
You represent the voice of the customer and are excited to understand business drivers and customer journeys.
You don't take requests and issues at face value and know how to truly get to the core of the problem to make sure we understand what we are building and why.
You also think big picture and cross-functionally for more correlated and integrated enterprise-level solutions.
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 culture of continuous testing.
Most importantly, you enjoy being part of a fast-paced, collaborative team and want to be an integral part of the process of developing apps that make users happy and more productive.

Day-to-day, you will:
• Track and identify underlying drivers of KPI targets & metrics, synthesize findings, and communicate insights
• Manage digital product performance to identify new product levers and opportunities for improvement of our existing product toolkit
• Ad hoc analyses and tasks to support personalization initiatives and product launches
• Collaborate with Product Manager(s) in making product and business decisions based on data insights and A/B testing experiment results
• Manage A/B Testing monitoring and analyses and execute strategy
• Analyze the impact of proposed and actual product changes Assist PMs in delivering product enhancements as defined by the Product Manager's Roadmap
• Develop, manage and maintain backend product data pipelines
• Own and execute ad hoc and long-term strategic projects

Your skillset likely includes:
• 3-4 years experience in a large IT organization with responsibility and demonstrated success in developing Data and Analytics products or services
• BS degree, preferably in Computer Science, Information Systems, or a related discipline or equivalent combination of education and experience
• Visualization tools such as Power BI, Tableau, and Microstrategy
• Good knowledge of metadata, and using/managing metadata
• Excellent communication skills and can confidently communicate to all levels of the business 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. Ability to Client out edge cases, identify dependencies and Client out the if/then in any scenario
• 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 product strategy and vision
• Experience working with the web, mobile logs, and transaction systems
• Experience with data analysis, experimentation and measurement tools like Google Analytics, Adobe Analytics or homebuilt systems
• Working experience building integrations between different products
• Ability to research and contribute (from a PM perspective) on API development
• Working SQL and database design knowledge
• Self-starter requires minimal supervision
• Strong project management skills
 
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