Senior Data Analyst (Product Analyst)
Thunkable
- San Francisco, United States
- Senior Level
- 3+ years
- Bachelor's degree
- Posted
Skills
Required
- event tracking
- product analytics
- experimentation
- funnel analysis
- retention
- user behavior analysis
- visualization
- SQL
- Python
- Google Analytics
- Javascript
- Google tag manager
Preferred
- data pipelines
- data storage
- data cleaning
- data processing
- analyzing
- modeling
Join Thunkable, a global company focused on empowering individuals to create mobile apps without coding. As a Senior Data Analyst, you will turn product and business data into actionable insights that influence product strategy, growth, and customer experience. You will collaborate with various teams, drive end-to-end product and growth analyses, and improve the quality and accessibility of our data. Enjoy the flexibility of working from anywhere, a wellness and training budget, and the opportunity to challenge yourself and reach your full potential.
Responsibilities
- Collaborer avec les équipes Produit, Marketing et Direction pour identifier les opportunités, influencer la stratégie produit et prendre des décisions commerciales basées sur les données.
- Conduire des analyses de produits et de croissance de bout en bout, y compris l'analyse des entonnoirs, l'analyse des cohortes, la rétention, la segmentation, la monétisation et l'expérimentation.
- Développer des tableaux de bord, des rapports récurrents et des analyses en libre-service pour permettre une prise de décision éclairée par les données.
- Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy
Requirements
- Experience with product analytics, experimentation, funnel analysis, retention, and user behavior analysis
- You have strong analytical and problem-solving skills, with a keen attention to detail
- You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences
- 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects
- Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations
- Experience in data queries and statistical programming tools (SQL, R, Python, etc.)
- You are a self-starter who thrives in a start-up environment and has a strong follow-through
- BA/BS degree or above in a related field or equivalent experience required
- Experience with product and marketing analytics tools (Amplitude, Google Analytics, etc.)
- Event tracking (eg. Javascript, Google tag manager)
Preferred
- Experience with improving data pipelines, data storage and analytical frameworks
Pay
USD 90,000 - 140,000
