Data Analyst Cohort Jobs (NOW HIRING)

Job Summary:
Inflection AI is dedicated to harnessing AI to enhance human well-being and productivity. As a Senior Data Analyst on the Product team, you will architect the understanding of user behavior, build predictive models, and drive growth through data analysis and experimentation.
Responsibilities:
• Model User Behavior Predictively: Build and deploy models that forecast retention, churn risk, and engagement trajectories — moving from reactive reporting to proactive intervention.
• Identify Leading Indicators: Discover early behavioral milestones — the "Aha! moments" — that predict long-term user success, using cohort analysis, survival modeling, and feature importance techniques.
• Drive Experimentation: Design, implement, and analyze A/B tests across product features, providing the statistical rigor needed to inform high-stakes launch decisions.
• Understand Audience-Level Performance: Analyze how different user segments and acquisition cohorts behave over time — identifying which audiences activate fastest, retain longest, and signal the highest long-term value. Translate these insights into actionable guidance for product and growth strategy.
• Own Attribution & Growth Measurement: Maintain the data bridge between acquisition channels, campaigns, and in-product behavior, ensuring we can reliably connect where users come from — and what brought them — to how they succeed. This includes working with tools like AppsFlyer and PostHog to ensure attribution data is accurate, consistent, and analytically useful, and that campaign-level performance can be evaluated against meaningful downstream outcomes, not just top-of-funnel metrics.
• Build the Behavioral Data Foundation: Manage the flow of data from our production Postgres environment and behavioral tools into Snowflake, building the transformation layers (dbt) that power self-serve analytics and model feature pipelines.
• Define Strategic Metrics: Partner with Product leads to define North Star metrics and develop the input/output maps that connect day-to-day product decisions to long-term growth outcomes.
• Combat Churn Proactively: Develop deep, model-driven insights into engagement patterns to identify at-risk users and surface actionable signals before churn impacts the bottom line.
Qualifications:
Required:
• 5–8 years of experience in product data science, growth analytics, or a related quantitative role, with demonstrated impact driving product and growth decisions through experimentation and data analysis
• Strong Product & Growth Analytics Foundation: Deep experience with funnel analysis, cohort modeling, experimentation, and behavioral event data — you understand how users move through a product, why they stay, and how acquisition source and campaign context shape long-term outcomes.
• Predictive Modeling Expertise: Hands-on experience building and validating ML/statistical models in a production or near-production context — churn models, propensity scores, LTV forecasting, or similar user behavior applications.
• Technical Mastery: Expert-level SQL and hands-on experience with modern data warehouses (Snowflake) and event-based tracking tools (PostHog, Segment, or similar). Proficiency in Python for data modeling and analysis.
• Strategic Mindset: Proven ability to translate messy behavioral data into a clear narrative, identifying not just what is happening, but why and what to do next.
• Data Quality Advocate: A pragmatic approach to data governance — you are as comfortable debugging a broken tracking tag as you are presenting model results to leadership.
• Startup Agility: An innovation-focused mindset that thrives in a high-velocity environment where you are both the strategist and the executor.
• Academic Foundation: A bachelor's degree or equivalent in a quantitative field (e.g., Computer Science, Statistics, Economics, or Engineering).
Preferred:
• Familiarity with mobile attribution frameworks (e.g., AppsFlyer, Adjust) is a plus.
Company:
Inflection AI is a public benefit corporation leveraging its world class LLM to build an AI platform focused on the needs of the enterprise. Founded in 2022, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.