Data Analyst

At Duomo, we’re building a platform for spiritual growth grounded in Christian values. We are modernizing the way over 2+ billion Christians worldwide connect with their faith.

We launched in March 2024, and in a year, we built a team of 40 professionals, quickly found strong unit economics, released a mobile app, and managed to become the top-2 player in the niche revenue-wise. Here are some more facts:

• 300k+ users worldwide

• Users from 40+ countries

• 4.8 average App Store and Trustpilot ratings

• Read more about us here

Best thing? Our users love us and share their recognition publicly:

• “Duomo has changed my life and my relationship to God and myself. It has been the first study in which I am consistent. More than 60 days, not in a row but quite almost, which is incredible for me!” by Sailawaysarah

• “I intended for this to be something to help me through a difficult relationship issue, and it brought some consistency to my walk with the Lord, and gave me a deeper desire to continue to learn scripture and to feel confident and where he’s brought me. Highly recommend.” by Pearlsylvania

“I’ve tried a lot of Christian apps, but Duomo is hands-down the best when it comes to real, lasting spiritual growth. It’s not just another Bible app—it actually helps you grow in your relationship with Jesus in a way that feels natural and achievable.” by Andy Oaks

We're looking for a sharp and curious Product Analyst who turns data into clear product decisions for our partner company Duomo. You'll own the experiment lifecycle, dig into user behaviour, and partner with the team to figure out what's worth building next.

As Product Analyst, you will:

• See the direct impact of your work — experiments run constantly and results come fast

• Deepen your expertise in product analytics, experimentation, and user behaviour

• Shape product direction — not just report on it

• Work alongside sharp, results-oriented teammates across product, design, and engineering

Responsibilities:

• Monitor all running A/B tests to ensure data quality and experiment health

• Analyse experiment results end-to-end — understand what drove the change, why users dropped off, and what it means for the product

• Co-generate hypotheses with designers, PMs, and engineers — helping build a strong experimentation pipeline

• Evaluate feature viability — help the team decide whether a feature is worth investing in, backed by data

• Proactively analyse user behaviour to uncover growth opportunities, friction points, and product risks before they become obvious.

• Translate data into clear product recommendations: what to improve, what to stop, what to scale, and what to test next.

Requirements:

• Strong analytical skills and critical thinking — you question assumptions and challenge weak conclusions

• Solid understanding of statistical analysis and A/B testing principles

• Strong communication skills — ability to translate complex data into clear insights and align people around a direction

• Fast learner with a strong bias for results

• Proficiency in SQL and BI tools (Tableau)

• Experience with user behaviour analytics tools — Amplitude, GA4, PostHog, or similar

Will be a plus:

• Python skills for deeper analysis and automation

• Experience in a startup or fast-growing team

What we offer:

• An opportunity to build a fast-growing career in a young company.

• A strong, results-driven team.

• A culture that values efficiency and common sense in decision-making.

Learning and development: mentorship from senior professionals, internal academies, 13 professional communities (including a marketing one), and participation in external courses and events.