Product Analyst

# Product Analyst (Remote)

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## About Littlebird

Littlebird is your AI-powered personal operating system. We capture context from your daily life -- meetings, messages, browsing, notes -- and use it to help you remember everything, prioritize your day, and solve real problems. Think of us as the AI assistant that actually *knows* you. Check out the recent [TechCrunch news on our $11M seed funding](https://www.linkedin.com/feed/update/urn:li:activity:7442288049939533825) and what users are saying about the product.

We're growing fast, and we're entering a phase where gut instincts need to be backed by rigorous data. That's where you come in.

## The Role

We're looking for a sharp, stats-literate Analyst who can own product analytics end-to-end. We need someone with the *judgment* to know what questions to ask and the rigor to answer them properly.

Generative AI can write SQL. It can calculate p-values. What it can't do is design the right experiment, catch a subtle confound in your cohort analysis, or connect a qualitative user signal to a quantitative pattern. That's the job.

You'll work closely with our C-suite and product leadership to drive decisions on retention, engagement, conversion, and experimentation.

## What You'll Do

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• **Own experimentation.** Design A/B tests with proper sample size calculations, power analysis, and significance testing. Run them. Interpret them. Flag when results are misleading.
• **Analyze retention and engagement.** Build and maintain cohort analyses, retention curves, and conversion funnels. Identify what separates users who stick from users who churn.
• **Answer the hard questions.** "Does Meeting Notes drive paid conversion, or do power users just happen to use it?" -- that kind of thing. Correlation vs. causation is your bread and butter.
• **Define and track metrics.** Help us build the right metrics framework for our stage. Know when a metric is vanity and when it's signal.
• **Communicate findings clearly.** Present insights to technical and non-technical stakeholders in a way that drives action, not confusion.
• **Use LLMs as a force multiplier.** We expect you to use AI tools aggressively for query generation, data wrangling, and visualization -- so you can spend your time on the thinking, not the typing.

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## What We're Looking For
**Must-haves:**

• 3-5 years of experience in product analytics, data analysis, or a quantitative role at a tech company (startup experience strongly preferred)
• Strong statistical foundations: hypothesis testing, confidence intervals, Bayesian reasoning, power analysis, regression. Not textbook knowledge -- practical application.
• Demonstrated ability to design and analyze A/B tests and other controlled experiments
• Sharp product intuition -- you think about *why* users behave a certain way, not just *how*
• Excellent written and verbal communication

**Nice-to-haves:**

• Fluent in SQL. You'll be writing HogQL (ClickHouse-flavored SQL) against PostHog, so comfort with analytical SQL dialects is important.
• Python proficiency (pandas, scipy, statsmodels) for ad hoc analysis beyond what a BI tool can do
• Experience with PostHog or similar product analytics platforms (Amplitude, Mixpanel)
• Experience at an early-stage startup where you had to build analytics from scratch

**What we don't need:**

• ML/data science specialization (we're not building recommender systems)
• Data engineering / pipeline skills (this isn't a dbt or Airflow role)
• A Master's degree (we care about what you can do, not your credentials)

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## Interview Process

We keep it practical and respectful of your time

1. **Intro call** (30 min) -- get to know each other, talk through your experience
2. **Stats & analysis discussion** ( ~1.5 hrs) -- assess your product analytics skills and stats fluency
3. **Culture & product chat with CEO** (30 min) -- alignment on mission, working style, product thinking

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## Details
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• **Location:** Remote (some overlap with US PST hours expected)
• **Compensation:** commensurate with experience. Equity included.
• **Team:** You'll be joining a small, high-caliber team across the world. Direct line to founders and engineering leadership.
• We love to hear when birds chirp!