June 13
• The Senior Data Analyst will focus on pre-processing large, often disparate, data sets in order to identify opportunities for additional campaigns to answer large and complex internal or external questions. Strong technical skills as well as an acumen for data visualization allowing for rapid resolution and answers of common questions. Attention to detail and accuracy are critical. ...Be the analytic expert on all data sources, attributes and internal tools for the organization as it relates to answering ad-hoc questions ...Ability to “data wrangle” known or new data sources by examining data, cleanse/prepare it as needed by removing duplicates, identifying and correcting illogical entries, and creating KPIs and compound metrics used to evaluate the effectiveness and “tell the story” of each campaign • Designing, measuring, and interpreting A/B tests • Develop ETL processes to pre-process data to ensure that ad-hoc questions can be answered rapidly • Be the analytic expert on all data sources, attributes and internal tools for the organization as it relates to answering ad-hoc questions • Continually innovate and enhance ROI and performance computations to create additional insights from business KPIs such as revenue or conversion lift ...Balance multiple projects and accompanying timelines • Work collaboratively within members of multiple teams to meet aggressive goals and pre-defined measurement criteria • Develop requirements of more common requests to be implemented in the product for automated access • Ensure the accuracy, reliability, and integrity of the data through effective quality assurance processes.
• 3+ years of experience in data analytics, ideally in a marketing or eCommerce environment • Bachelor’s degree (or equivalent) required, degree in technical or business discipline ideal • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. • 5+ years of experience in data analytics, ideally in a marketing or ecommerce environment or an analytically-driven role (analytics, consulting, e-commerce, etc.) • Strong working knowledge of SQL and/or experience with Python or R • Practical and theoretical knowledge of A/B testing • Excellent communication and presentation skills. • Ability to translate complex data findings into actionable business strategies. • Strong interpersonal skills and ability to work cross-functionally and influence both technical and non-technical audiences • Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment
• Competitive salary and stock options • Opportunity for continuous learning • Fully sponsored EAP services • Excellent work culture • Opportunity to be an integral part of our growth story and grow with our company • Health insurance for employees and dependents • Flexible work hours • Remote-friendly company
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