BlueThrone is a remote-first company that works from all around the world.
Our specialty is turning product market-fit apps into companies.
We have over 50 million organic downloads and 4.6 million monthly active users.
With a mission to transform iOS and Android applications to a new scale, we've achieved a remarkable ARR in just 25 months, exemplifying sustainable growth and innovation.
Product Analyst - Social Discovery App First things first, if you are looking for a fully remote role with flexible hours and unlimited time off, and are based somewhere in Europe or Asia, read on.
This role is not just a job; it's a calling for those who dare to lead, inspire, and transform the digital landscape.
Join us, and let's chart a course to a future written in the stars of success.
About our social discovery app You will join one of our brightest stars: a social app rapidly becoming the global go-to platform for Gen Z to discover like-minded people and create meaningful friendships.
Our product, live in multiple countries, has achieved 30 million organic downloads, demonstrating a strong product-market fit.
We are now ready to scale the product exponentially.
Your Mission We are looking for a Senior Product Analyst .
In this role, you will support the General Manager and CPO and work closely with the cross-functional product team to enable them to make better decisions faster.
We have a strong culture of data-driven decision-making, and we're great believers in powerful, real-time analytics and empowerment of the wider business.
What you'll be doing Analyse data to uncover actionable insights and inform product recommendations through funnels, cohort analyses, long-term trends, user segmentation, regression models, and more.
Leverage your expertise in analytics, data science, and storytelling to gain insights beyond raw data and understand how our users interact with our products and how those insights can inform our product strategy.
Detect and resolve data anomalies, pinpoint shifts in metric trends, and ensure data integrity through rigorous analysis and systematic problem-solving.
Collaborate with the product team to define, plan, run, and evaluate experiments, including A/B and multivariate tests.
Partner with engineering to implement, document, validate, and monitor our logging and metrics and ensure we collect the correct data to produce relevant insights.
Build practical self-serve tools and visualization dashboards to streamline analytics operations and speed decision-making.
Support data engineering by crafting simple, reliable data pipelines and automated reporting for metric tracking.
Collaborate with product management to define outcome-focused product goals and an experiment-driven roadmap, balancing effort, impact, and risk.
Strengthen our experimentation culture and promote best practices for data-driven decision-making.
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