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.