About Scentbird
Scentbird offers a digital subscription service that lets members choose from over 1,000 designer perfumes each month. Its brands offer fragrance and scented products, including clean, vegan, and cruelty-free fragrances.
Responsibilities
•Collect and analyze customer, marketing, and web behavioral data
•Test campaigns, analyze key metrics, and identify opportunities to improve campaign performance
•Develop and present findings, actionable insights, and recommendations
•Develop digital campaign and web measurement strategies
•Create dashboards, data visualizations, and campaign performance reports
•Monitor and analyze digital media and marketing trends
•Communicate and present findings to colleagues, senior managers, and internal clients
•Collaborate with data engineers to optimize data workflows and ensure data consistency and coverage across domains and IT solutions such as Looker and Snowflake
Requirements
•3+ years of data analytics work experience
•Intermediate knowledge of statistical methods and experimental design, and experience using quantitative analysis to inform key decisions
•Experience writing SQL queries and working with large datasets
•Experience with product analytics and BI tools such as GA, Mixpanel, Amplitude, Looker, Tableau, or similar
•Ability to understand overall business value, not just numbers and charts
•Hands-on experience collaborating with engineering teams on event tracking and analytics implementation, including Google Tag Manager, custom events, and data validation
•High-level written and verbal communication skills
•English at upper-intermediate level or higher
•Programming skills in R or Python
•Experience applying LLMs via APIs for analytics use cases such as data exploration, anomaly detection, reporting automation, or building internal AI assistants
•Proactive, takes initiative, and proposes approaches rather than passing problems to others
•Communicates opinions clearly and supports them with data; follows through on started work
•Enjoys solving complex and new problems, trying new technologies, monitoring the market, and continuously developing
•Comfortable making mistakes or acknowledging when something is unknown
•Open to new and difficult challenges
Nice to have: familiarity with modern analytics stacks and data transformation tools such as dbt, understanding of attribution models, incrementality testing, or marketing mix modeling fundamentals
Conditions
•Contractor role
•Competitive base compensation
•Bonus program
•Paid time off
•Work from home
•Overseas applications only; U.S. domestic applications will not be considered
•Fun, creative, and energetic work environment
