BlueThrone is a remote-first company that work 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.
Our team, rich in tech entrepreneurship and mobile marketing expertise, thrives in an environment that values agility, growth mindset, flexibility, creativity, and tangible outcomes.
Product Analyst - Social Discovery app First things first, if you are looking for a fully remote role with flexible hours, 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 BlueThrone Embark on a transformative journey with BlueThrone, a pioneer in the mobile app domain.
Our specialisation: Turning indie apps into market leaders, boasting over 49.5 million downloads and 4.6 million monthly active users.
Our mission: Propel iOS and Android applications to new heights.
We've organically achieved a remarkable $8M ARR in just 25 months, exemplifying sustainable growth and innovation.
Our team: Rich in tech entrepreneurship and mobile marketing expertise, we thrive in an environment that values agility, growth mindset, flexibility, creativity, and tangible outcomes.
At BlueThrone, your career is more than a job—it's a journey toward excellence in an innovative culture where high performance is as valued as innovation.
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, from 1 to 10 and then from 10 to 100.
You'll love it here if: You prefer flexible hours, unlimited time off, and the ability to work from anywhere.
You are naturally curious and eager to make an impact for both the users and the business.
You enjoy wearing multiple hats - we value experts but appreciate jacks of all trades.
You thrive in a drama-free, calm, and systematic problem-solving environment.
You love challenges and are always ready to roll up your sleeves.
You believe in working smarter, not harder - prioritizing productivity and quality over punching the clock.
Above all, you follow your passion and have fun while doing it.
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.
The perfect fit for this role is someone who's practically a pro at diving into massive datasets, churning out actionable insights, setting product goals and metrics like it's second nature, and juggling multiple experiments like a champ, all without breaking a sweat.
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 at our app.
What you'll need to succeed You've extensive experience working as a product analyst and get excited about analyzing millions of rows of raw data to uncover insights (large and complex data is your thing).
You know your way around SQL, such as Postgres and Standard SQL, and can quickly jump into using statistical software such as Python and R. You're well-versed in behavioural analytics and believe in scientific methods like experimentation analytics, including A/B testing and multivariate testing, and when needed, can lean on significance analysis, non-parametric methods, bootstrapping and causal inference.
And yes, you know the pros and cons of choosing a Bayesian statistical approach versus a frequentist approach.
You are an expert at turning data into insights and insights into stories that you present with ease (data visualization and storytelling are the ingredients).
You're passionate about building great products for users but also deeply understand what makes the product succeed commercially.
You're experienced in defining effective goals and product metrics and establishing KPIs that serve as reliable benchmarks for evaluating the success of every launch.
You can work and communicate effectively with a diverse range of people and working styles to get stuff done and can thoughtfully and constructively challenge and influence the people you work with.
Bonus points If you've worked on online dating, social discovery, community or entertainment products, but it's not essential.
A degree in mathematics, operations research, statistics, computer science or other related quantitative fields.
Experience working with BigQuery (big bonus!).
Experience with data products, machine learning-driven products, and recommendation algorithms.
The interview process Initial call with the people team to understand your motivation (30 minutes).
Technical interview with a Data Engineer to assess your technical skills, including SQL (45 minutes).
Hiring Manager interview with a focus on experimentation, product metrics and leadership behaviours (1 hour).
Meet the CEO (45 minutes).
Our average process takes 3-4 weeks, but we will always work around your availability.
Being Speedy Gonzales is important to us as it is for you.
Equal opportunities for everyone To truly represent our vibrant and diverse BlueThrone community, we prioritize diversity and inclusion.
We are committed to fostering an environment where everyone can do their best work.
We strongly encourage applicants of all backgrounds.
We consider all candidates regardless of age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity, or disability.
If you need reasonable adjustments at any point in the application or interview process, please let us know.
