Responsibilities

• Drive business impact: Partner with SEM, Marketing Leadership, and cross-functional teams to deliver insights that improve acquisition efficiency, conversion performance, and long-term customer value.
• Own the analytics lifecycle: Design, build, and maintain scalable datasets, transformations, and reporting in our marketing data lakehouse, ensuring data is accurate, trusted, and decision-ready.
• Identify growth opportunities: Proactively uncover trends, performance gaps, and experimentation opportunities across channels, keywords, audiences, and campaigns.
• Innovate with data: Apply analytics best practices, modern modeling techniques, and automation to enhance reporting speed, insight depth, and self-service analytics adoption.
• Be a subject-matter expert: Serve as a go-to expert for marketing data, metrics, and measurement methodology, influencing how success is defined and tracked.
• Communicate with impact: Translate complex analyses into clear narratives and actionable recommendations for both technical and non-technical stakeholders.
• Produce a continuous flow of data-driven insights, hypotheses, and recommendations that drive optimization and growth
• Collaborate with key stakeholders to develop reports and validate results using our marketing data lakehouse
• Answer ad-hoc business questions related to ecommerce and brick and mortar sales, website, app, advertising, consumer, and general marketing data
• Expand our measurement of best customers and products that are important to them

Requirements

• Bachelors Degree, Masters Degree in Marketing, or direct job experience in Analytics, Economics, Finance, Statistics, or Data Science
• 5+ years experience in analytics working with ecommerce marketing data
• Remote Work Qualifications Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
• Access to a home router and modem.
• A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).
• A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.
• The desire and ability to work and communicate with other team members via chat, webcam, etc.
• Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, MT, NC, ND, NE, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only.

Preferred

• +5 years experience using BigQuery and Google Cloud Platform
• +5 years performing Analysis in ecommerce (customer and product) marketing data working
• +5 years experience using data visualization software (preferably Looker Studio; Tableau or Power BI optional)
• Advanced SQL, database querying, and ETL/ELT experience
• Expert Google Analytics (Google Analytics 360 preferred) knowledge
• Expert Paid Platform knowledge  Adwords, Bing and Meta etc knowledge
• Expert in working with and connecting data lakehouses or star schemas
• Expert in working with large-scale paid media accounts
• Python or R Studio
• Proficiency with MS Office required (Outlook, Word, Excel, PowerPoint)
• Expert analytical and problem-solving skills required
• Strong verbal and written communication skills; ability to tell a story; ability to explain technical and complex concepts in a simple and concise way
• Demonstrated ability to manage multiple assignments and deadlines in a fast-paced environment
• Ability to quickly adapt as business needs change; ability to address difficult situations with diplomacy and emotional intelligence
• Customer service-oriented attitude with a demonstrated desire to exceed expectations

Benefits

• Medical
• Vision
• Dental
• PTO
• Paid Maternity Leave
• Paid Parental Leave
• Life Insurance
• Disability
• Dependent Care FSA
• 401(k) matching