Job description
Who we are:
PikPok is a global video game studio with more than 25 years of experience, with offices in New Zealand and Colombia. In New Zealand, we operate as a medium-sized company, while the current structure in Colombia is that of a small business. Our team is multicultural, with English serving as the primary working language.
We have a portfolio that spans games at various stages of the product lifecycle, supported by diverse revenue models, with a presence on mobile, PC, consoles, and virtual reality platforms. Today, we distribute our titles in more than 30 countries, connecting with players around the world.
About the role:
We are looking for an experienced data analyst who will partner with our production and marketing teams in shaping the direction of our live service games. We expect this person to go beyond reporting numbers; they should use data to interpret player behavior, challenge assumptions, and provide actionable recommendations to support product and live operations teams in making data-driven decisions. We are seeking an individual with a mature and professional attitude who knows how to work effectively with multidisciplinary teams.
We encourage you to apply even if you are hesitant about meeting every single requirement. Our ideal candidate is not a pre-existing perfect fit but an individual who is curious and eager to learn, with the core skills and knowledge to succeed in this role. We believe that valuable skills are gained from a variety of experiences, including those from non-traditional paths or periods of caregiving. Our commitment to flexible work arrangements and a supportive environment reflects our belief that a rewarding career should integrate with a full life. If this role excites you and you’re passionate about growing with us, we encourage you to apply.
The experienced data analyst’s responsibilities include:
Generate actionable insights to guide product and marketing decisions by analyzing player and business data, challenging assumptions, and integrating historical and industry learnings to support strategic planning and optimize outcomes.
Design and interpret experiments to evaluate features, events, promotions, and monetization strategies in order to generate actionable learnings, guide release planning, and optimize product performance while minimizing risk.
Proactively work with people from different parts of the organization to understand their needs, build relationships, and help them understand and use data effectively.
Working with developers to design, document, and implement effective telemetry & A/B tests that are robust and understandable for future analysis.
Creating and maintaining dashboards to support the development of new features, communicate results, and provide clear answers to stakeholder questions.
The experienced data analyst’s required knowledge and experience should include:
Strong understanding of statistics and statistical modeling (descriptive, inferential, regression) for designing experiments, hypothesis testing, and analyzing results.
Knowledge of experimental design, including but not limited to A/B testing, multivariate experiments, and bias detection (selection, survivorship, confirmation).
Knowledge of data storytelling and visualization techniques to communicate technical subjects effectively to non-technical stakeholders.
A solid understanding of cognitive biases and logical fallacies to help teams identify gaps in thinking and risky assumptions.
2+ years of experience in roles such as Data Analyst, Data Scientist, BI Developer, or any other related field, where high-level insights are generated.
Bachelor’s or specialization degree in a related field, such as Engineering, Software engineering/computer science/information systems, statistics, mathematics, economics, finance, Data analytics, data science, Science, or a similar field not listed.
A minimum English Level B2 (assessed)
Other desirable knowledge
Working knowledge of big data handling and processing concepts.
Basic understanding of economic principles.
Working knowledge of the F2P games industry, specifically the key drivers of player retention and revenue.
Working knowledge of consumer-based data, particularly within gaming, e-commerce, or advertising.
Hybrid modality, Monday to Friday (2 days office/3 days home). Schedule from 9 am to 6 pm.
Health insurance.
One-time home buyer bonus.
Staff referral recruitment bonus.
Partial rebate on mobile phone and tablet upgrades.
Monthly self-directed Lab Days, annual game jams, and a variety of training and learning opportunities
