Product Data Analyst
Sintra AI provides AI employees and business automation tools for entrepreneurs and growing businesses. Its platform supports social media, customer support, website creation, SEO, sales, email marketing, and other business operations.
Funding history
Projects
About Sintra AI
Sintra AI offers a digital team of AI helpers that automate business tasks while allowing users to review and approve outputs. The platform includes Brain AI, a centralized knowledge hub that stores brand guidelines, documents, and business data for context-aware work, along with integrations for tools such as Shopify, Notion, Gmail, and hundreds of others. Its AI helpers serve functions including social media management, customer support, website building, SEO, sales outreach, copywriting, email marketing, business strategy, and bookkeeping. Sintra AI serves solo founders, entrepreneurs, small businesses, and growing teams across industries including beauty, restaurants, jewellery, construction, and auto services.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You partner with Product teams to design and evaluate experiments, analyze product usage and user behavior, identify growth opportunities, define product metrics, ensure accurate event tracking, assess feature performance and adoption, and deliver actionable recommendations for strategic decisions.
Requirements
- 4+ years of experience as a Product Data Analyst, Product Analyst, or similar
- Experience in a SaaS environment
- Strong SQL skills
- Experience with DBT
- Experience using Python for analytics and automation
- Understanding of experimentation and A/B testing methodologies
- Strong analytical thinking and problem-solving skills
- Ability to communicate insights to technical and non-technical stakeholders
Responsibilities
- Design, execute, and evaluate A/B tests
- Analyze product usage data and user behavior
- Identify product growth opportunities
- Support the product development lifecycle through analytics
- Define and maintain product metrics
- Ensure accurate event tracking and data collection
- Analyze feature performance and user adoption
- Partner with Product teams on strategic decisions
- Deliver recommendations based on data insights
- Build an experimentation culture
Benefits
- Hybrid work model
- Daily team lunch prepared by in-house chefs
- Stock options
- MacBook
- Equity package
- Flexible working model
- Private health insurance
- Workout sessions with a personal trainer
- Daily office-provided lunch
