About Scentbird
Scentbird offers a digital subscription service that lets members choose from more than 1,000 designer perfumes each month. Its fragrance brands offer scented products, including clean and vegan fragrances, and products inspired by endangered species and their habitats.
Responsibilities
•Roll out a data-as-a-service approach for the Product team, making data easy to access, understand, and use for decisions
•Communicate with Product and cross-functional teams to define metrics, plan report structures, make reports visually appealing and easy to understand, and automate reporting in Looker
•Measure the impact of existing and new product features and growth experiments on key metrics, including conversion rate, active subscriptions, and customer lifetime value
•Conduct ad hoc analysis to investigate data changes and turn findings into action items
•Build and maintain analytical tools and services, including LLM-powered automation, that let the Product team answer questions without waiting for an analyst
Requirements
•3+ Years of data analytics work experience
•Experience delivering analytical solutions for complex product-related tasks, including user pattern research, experiment support, feature analysis to improve product metrics, and use-case analysis
•Understand overall business value, not just numbers and charts
•Strong knowledge of statistical methods and quantitative analysis for key decisions
•Advanced A/B testing experience, including designing, running, and analyzing complex experiments; variance reduction, sequential testing, multiple comparisons, sample ratio mismatch checks, and heterogeneous treatment effects
•Solid command of causal inference methods beyond A/B testing and understanding of when their assumptions hold
•Hands-on experience applying machine learning to product problems, such as churn and propensity models, uplift modeling, segmentation, or recommendations, and taking a model from analysis to a working part of a product or decision process
•Experience writing SQL queries and working with large data sets
•Experience with product analytics and BI tools such as GA, Mixpanel, Amplitude, Looker, Tableau, or similar
•Strong Python engineering habits, including building maintainable services and tools with packaged code, version control, tests, APIs, and scheduled pipelines; actively use LLMs to speed up coding and automate analytical workflows
•High-level written and verbal communication skills
•English at upper-intermediate level or higher
•Proactive, propose approaches and follow through; communicate opinions simply and support them with numbers; embrace new technologies, including AI tools; be willing to make mistakes and admit when something is unknown
Conditions
•Competitive base compensation
•Bonus program
•Paid time off
•Contractor role
