The Product Analyst will design experiments, analyze user behavior, and communicate insights to drive engagement and retention decisions effectively.
Product Analyst (Remote)
About Littlebird
The Role
What You'll Do
What We're Looking For
Interview Process
Details
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 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.
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.
- 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 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)
Interview Process
We keep it practical and respectful of your time:
- Intro call (30 min) -- get to know each other, talk through your experience
- Stats & analysis discussion ( ~1.5 hrs) -- assess your product analytics skills and stats fluency
- Culture & product chat with CEO (30 min) -- alignment on mission, working style, product thinking
Details
- 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!
Similar Jobs
Pharmaceutical
Hands-on Martech analyst supporting implementation, configuration, troubleshooting and optimization across CRM, email, CDP and other marketing platforms. Assist CRM migration planning/execution, translate business requirements into technical solutions, ensure cross-system data alignment, and provide tactical support to senior team members.
Top Skills:
CdpCrm PlatformsEmail PlatformsMarketing Technology (Martech) PlatformsSalesforce Marketing Cloud
.png)
Artificial Intelligence • Big Data • Information Technology • Other • Software • Database • Biotech
Lead product measurement and analytics as a Staff-level IC: define KPI frameworks, generate proactive insights, shape product strategy, improve data foundations, and build AI-enabled analytics workflows while mentoring analysts and influencing senior product leaders.
Top Skills:
LlmsPythonRSQLTableau
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead product analytics for a B2B SaaS product: define metrics and measurement frameworks, analyze user behavior and product performance, build self-service dashboards, partner cross-functionally to link usage to business outcomes, and translate data into strategic recommendations for product roadmap and GTM decisions.
Top Skills:
Ai ToolsBigQueryExcelGCPPendoSnowflakeSQLTableau
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
