Data Analyst

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November 4

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Mem0

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Artificial Intelligence • SaaS • B2B

Mem0 is a universal, self-improving memory layer for large language model (LLM) applications that enables persistent, personalized context across AI interactions. It provides a memory compression engine to reduce token usage and latency, developer-friendly one-line installs and APIs, and enterprise features such as SOC 2/HIPAA compliance, BYOK, and on‑prem/private cloud deployment. Mem0 targets developers and enterprises building personalized AI experiences across healthcare, education, e-commerce, customer support, and sales, offering observability, traceability, and local-first options (OpenMemory) for consumer privacy.

1 - 10 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

📋 Description

• 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 • Support experimentation and A/B testing initiatives with analytical rigor and evaluation frameworks • Answer urgent, ad-hoc data questions from any part of the organization with speed and accuracy • Develop internal tools and dashboards that enable non-technical stakeholders to access data independently • Create standardized reporting templates and processes that reduce repetitive requests • Build documentation and data definitions that keep the entire organization aligned on metrics and methodology • Train and support team members across the company on how to interpret and use data effectively • Partner with Product to establish measurement frameworks and define success metrics for new features • Work with Engineering to ensure data collection is robust and metrics are accurate • Support Leadership and Go-to-Market teams with investor-ready analytics and strategic insights • Collaborate with Research on evaluation frameworks and hypotheses testing for memory and retrieval innovations

🎯 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 • 1-3 years of experience at growth-stage startups in data analysis, analytics engineering, or related roles • 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

🏖️ Benefits

• Competitive compensation with equity