Mem0 is looking for a Data Analyst to build the data infrastructure and analytics foundation from scratch, enabling the company to measure product performance, track key business metrics, and translate data into actionable insights for decision-making.
Requirements
- Expert-level SQL skills with strong experience in PostgreSQL or similar relational databases
- Proficiency in Python for data analysis, automation, and building data pipelines
- Hands-on experience with product analytics platforms (PostHog, Mixpanel, Amplitude, or similar)
- Proficiency with data visualization and BI tools (Tableau, Looker, Metabase, or similar)
- Understanding of API integrations, data extraction, and ETL concepts
- Familiarity with cloud platforms and modern data warehousing solutions
- Experience with LLM data analysis, AI/ML workflows, or working with model outputs
Responsibilities
- Build and maintain reliable data pipelines that consolidate information from Postgres databases, PostHog product analytics, LLM outputs, and external APIs into a unified data warehouse
- Design data models and establish schemas that scale with our product and business needs
- Implement data quality monitoring and validation processes to ensure accuracy and reliability
- Set up automated ETL workflows and establish best practices for data collection and storage
- Define and track key business and product metrics that measure our success (retention, usage, monetization, feature adoption, and more)
- Build automated dashboards and reports for daily, weekly, and monthly business reviews
- Conduct deep-dive analysis to surface trends, identify opportunities, and provide recommendations that influence product and business decisions
Other
- Prior experience as a first data hire or building analytics infrastructure from the ground up is strongly preferred
- Demonstrated ability to work with diverse, unstructured data sources and complex data environments
- Understanding of product development cycles and the ability to think like a builder, not just an analyst
- Track record of moving fast and iterating in resource-constrained environments
- Business acumen—you understand what insights actually matter and can translate data into actionable recommendations
