Senior / Lead Data Analyst

About Us:

We’re a fast-growing, product-driven startup.

No heavy bureaucracy, no endless approval chains — instead, you get ownership, speed, and the ability to build things the right way from day one.

We’re looking for someone who wants to go far beyond “just analyzing reports” — someone who will help shape our entire data culture and infrastructure from the ground up.

Who We’re Looking For

A Senior / Lead Data Analyst who:

• Sees the product through the lens of data, business impact, and long-term value.
• Is ready to own and develop the entire analytics ecosystem.
• Feels comfortable in a startup environment, where not everything is set up yet — and that’s exactly what makes it exciting.
• Can act as a bridge between product, engineering, finance, and leadership to drive truly data-informed decisions.

What You’ll Work On:

Build the analytics ecosystem from scratch

• Design and launch end-to-end analytics infrastructure: event tracking, data warehouse, data models, access layers, standards.
• Set up scalable foundations that support rapid product growth.

Predictive analytics & ML

• Work with product and engineering to identify high-impact use cases.
• Build prototypes, run experiments, and bring models into production.

Data pipelines & ETL

• Design, automate, and maintain ETL processes to ensure teams always have timely, accurate, and structured data.

Dashboards & actionable insights

• Build dashboards for product, marketing, finance, and operations.
• Turn raw data into insights that directly influence decisions.

A/B tests & experimentation

• Design, run, and analyze experiments.
• Build or improve the experimental framework that will drive product strategy and roadmap.

Finance collaboration

• Work with finance on forecasts, LTV models, unit economics, growth scenarios, plans vs actuals.

C-level & product partnership

• Shape hypotheses, prioritize work, and help foster a culture where decisions are truly data-informed.

What We Expect From You:

• 2+ years of experience in data analytics within product-driven companies.
• Strong, hands-on experience with A/B testing and experiment frameworks.
• Solid skills in Python, SQL, and analytics automation.
• Experience with GTM, GA4, Amplitude or similar tools.
• Understanding of key product metrics:
• retention, conversion, cohorts, LTV, CAC, unit economics.
• Practical experience with BI tools (Tableau, Looker, Power BI, etc.).
• Ability to translate complex analytical findings into clear, actionable recommendations for non-technical teams.
• Proactive mindset, focus on outcomes, and passion for building — not just maintaining.

Nice to Have:

• Experience building analytics from scratch or leading large-scale analytics transformations.
• Experience with B2C SaaS or subscription-based products.
• Familiarity with predictive analytics, machine learning, or advanced statistical modeling.