Data Analyst

About Driffle : Driffle is a global digital goods marketplace specializing in digital gaming products, including games, gift cards, DLCs and more across 140 countries. We offer a convenient and diverse selection, from the newest release to timeless classics, all in one place.About the Role : We are seeking a highly analytical and detail-oriented Data Analyst to join our team. In this role, you will be instrumental in analysing our vast data sets to derive insights that drive decision-making across various departments including Business, Marketing, and Operations.Key Responsibilities : Collaborate with the tech and product team to define key performance indicators (KPIs) for the product.Design and implement robust metric tracking systems, ensuring consistent and accurate data collection.Design A / B tests and other experiments to validate product hypotheses. Analyse results to provide insights on product changes and their impact on user behaviour.Generate product insights from data analyses to suggest new features or improvements.Bridge the gap between data and product by translating findings into actionable product strategies.Dive deep into the data to determine the root causes of observed patterns or anomalies.Identify key drivers influencing metrics and advise on potential interventions.Conduct ad-hoc analyses to answer specific business questions or to inform product strategy.Create clear and impactful visualizations that convey complex data insights.Collaborate with stakeholders to communicate findings, provide recommendations, and influence product direction.Required Skills : Strong proficiency in Python or R.Demonstrated experience in SQL (experience with other data storage technologies is a plus).Mastery of statistical hypothesis testing, experiment design, and causal inference techniques.Hands-on experience with A / B and multivariate testing methodologies.Familiarity with behavioural data and experimentation platforms such as Mix panel, Growth Book.Strong visual, written, and verbal communication skills and ability to convey complex analytical results to non-technical audiences.Preferred Requirements : Familiarity with ML algorithms and techniques, including but not limited to regression models, clustering, and classification.Expertise in building, evaluating, and deploying ML models.Experience in e-commerce, marketplace business-models, proficiency in digital marketing.