Oakland, California, United States
Oakland or Remote | Full-time
The Data Team at Babylist powers data-driven decision making through all aspects of the company’s business. We are not a service team. We are a product function with a strong focus on 3 core aspects of data -- engineering, analysis and data science. We are looking for a Data Analyst to join our small and growing team.
The ideal candidate is someone who has the right blend of analytical/data skills, a strategic product mindset and excellent organization and communication skills. They are not merely builders of dashboards but critical thinkers who ask the right questions and seek answers with data. They also have several years of professional experience in a cross-functional, analytical role.
The Data Analyst will work directly with stakeholders across Marketing, Product, Engineering and Operations to both help us understand the health of the existing business but more importantly, to identify new opportunities for growth. This is an excellent opportunity for someone who wants to have a deep business impact while honing their craft as an analytics professional.
The ideal candidate will:
Design and develop core data team products (e.g. dashboards, reports, analyses)
Work directly with stakeholders to translate questions and hypotheses into structured analysis
Effectively present and communicate analytics findings across the company
You are someone who has:
A bachelors or masters degree with a strong quantitative focus
Statistical methodology: experiment design, multivariate analysis
Strong SQL fluency: ability to work with large datasets and advanced queries
Experience with a scripting language like Python
Superb problem synthesis and communication skills
Experience with tools of the trade: Periscope or other BI platforms, Excel, Jupyter Notebook
Understanding of data warehousing and relational data modeling fundamentals
An impact oriented mindset; Demonstrated ability to ask the right questions, prioritize work and manage stakeholder expectations
Keen attention to detail and data integrity