Product Data Analyst

Littlebird

3h • Remote

About The Position

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.

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.

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.

Requirements

• 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

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed