Data Analyst

5 hours ago

Gurugram Haryana India, IN Driffle Full time

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.

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