Data Scientist II, Brand Analytics

EG Brand Analytics serves as the trusted analytics partner and key point of contact for Brand Leaders to understand and accelerate B2C businesses. We are the cross-brand experts for end-to-end metrics who deliver insights that drive performance and experience improvements. Our team measures and improves Brand growth by identifying high-impact opportunities and guiding strategic investment decisions across the organization 

We are seeking an experienced Analyst to join our BEX (Brand Expedia) Analytics Team, within EG Brand Analytics, leading analytics projects related to BEX’s strategic pillars such as Multi Item Trip and Merchandising. This is an opportunity to make a significant impact using cutting-edge analytics while working with some of the industry's most complex and interesting datasets. 

In this role, you will:

• Apply your knowledge with Python, R, or any other major ML programming language.

• Write code in a way that enables efficient and accurate translation into a data pipeline.

• Apply appropriate analytical techniques (A/B testing, quasi-experimental methods, statistical modeling, etc.) to answer stakeholder questions. 

• Frame business challenges as an analytics problem and a concrete set of analytical tasks. 

• Pick analytically valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask. 

• Communicate across various levels of the organization, tailoring your messaging to that audience and filtering relevant information.

• Manage stakeholders with frequent communication, expectation management, meeting deadlines, and the backlog. 

Experience and Qualifications:

• 1-2+ years for Bachelors / Masters Graduate (preference for Mathematics or Science degree), OR Industry experience, OR completed data apprenticeship/certification

• Experience with large datasets and proficiency in SQL and another programming language (e.g. R, Python)

• Curiosity, passion for making an impact, and strong attention to detail.

• Display strong domain knowledge, business acumen, and critical reasoning skills.

• Strong communication skills, with the ability to present the business value of analysis concisely and clearly and an understanding of stakeholder management skills. 

• Experience and/or understanding of the AB testing methodologies is a plus.

• Familiarity with data exploration and visualization tools like Tableau.

• Ability to perform in a high-pressure, dynamic environment and be comfortable with a high level of ambiguity.

• High energy and a can-do attitude.

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