[Hiring] Data Analyst at Eneba

December 19, 2023

Job Overview

  • Date Posted
    December 19, 2023
  • Location
  • Expiration date
    --
  • Experience
    Fresh, 1 Year, 2 Years, 3 Years, 4 Years, 5 Years
  • Gender
    Both
  • hiringOrganization

    Eneba

Job Description

About Eneba

We’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports more than 9m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.

About your team

Behind every groundbreaking product, there’s an awesome team! In Product, we gather folks with diverse backgrounds and expertise in areas such as product development, management, design, QA, UX, analytics, and more. We move fast, experiment, learn a lot, and build new products for our growing base of 9+ million active users.
At the same time, we continue to iterate and improve on our flagship products: Digital, a safe and affordable marketplace for gamers. Physical, where we enable users to turn their second-hand items into someone’s first-tier gaming experience. Or Payments & Risk, where we provide a smooth, secure and reliable purchase experience.

Responsibilities

      • Collaborate with your 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. Analyze results to provide insights on product changes and their impact on user behavior.
      • 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.

Minimum Requirements

      • 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 behavioral data and experimentation platforms such as Mixpanel, GrowthBook.
      • 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 using libraries like scikit-learn, TensorFlow, or PyTorch.
      • Experience in e-commerce, marketplace business-models, proficiency in digital marketing.
€30,000 – €48,000 a year
*Salary ranges may vary. We’re seeking candidates with varied experience levels; from individual contributors to functional leaders in this space.
*We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred.

What it’s like to work at Eneba

*Opportunity to join our Employee Stock Options program.
*Opportunity to help scale a unique product.
*Various bonus systems: performance based, referral, additional paid leave.
*Paid volunteering opportunities.
*Work location of your choice: office, remote, opportunity to work and travel.
*Personal and professional growth at an exponential rate supported by well defined feedback and promotion processes.