Product Analyst

Tangem AG

Schweiz

Vor Ort

CHF 80.000 - 120.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Remote work flexibility
Growth opportunities

Zusammenfassung

Tangem AG in Zug, Switzerland is seeking a highly skilled Analytics Expert to analyze large-scale data and provide actionable insights. You will collaborate with product and business teams to optimize product performance and validate global hypotheses. The ideal candidate has proven experience in Big Data analytics, proficiency in Amplitude and Power BI, and strong analytical skills. This role offers the flexibility of remote work and participation in shaping the future of blockchain technology.

Qualifikationen

  • Proven experience in Big Data analytics and working with analytical systems.
  • Proficiency in Amplitude and other advanced analytics platforms.
  • Exceptional analytical skills and a solution-oriented mindset.

Aufgaben

  • Conduct advanced Big Data analysis to extract valuable insights.
  • Collaborate with business and product teams to identify key risks.
  • Develop and validate global hypotheses to optimize product performance.

Kenntnisse

Big Data analytics
Statistical modeling
Predictive analytics
Solution-oriented mindset
Business acumen

Tools

Amplitude
Power BI

Jobbeschreibung

Tangem is a high-tech company in the blockchain sector was founded in 2017, headquartered in Zug, Switzerland, with branches in North America, Eastern Europe, and APAC.

Tangem started with the idea of bringing digital assets to the masses using a unique combination of a smartcard-based hardware wallet and mobile applications. Company owns and promotes the technology of hardware cold-wallet for digital assets with secure and simple UX in 220 countries today. Our customers enjoy setup time within 1 minute with the ultimate security level for digital assets on their wallet. Tangem solutions offer multi-support of a growing number of thousands of tokens by a single wallet. SBI Crypto Investment Ltd., the digital asset venture investment company wholly owned by SBI Holdings Inc., has invested $15 million into Tangem in 2019 for mass adoption of blockchain technology.

About the Role:

We are looking for a highly skilled Analytics Expert to join our team at Tangem. In this role, you will work closely with our product and business teams to analyze large-scale data, develop global hypotheses, and provide actionable insights. Your expertise will help Tangem Wallet identify risks, predict future trends, and support critical decision-making processes.

Responsibilities:
  • Conduct advanced Big Data analysis to extract valuable insights and inform decision-making.
  • Collaborate with business and product teams to identify key risks and opportunities.
  • Develop and validate global hypotheses to optimize product performance and strategy.
  • Leverage Amplitude and other analytics tools to track user behavior and generate meaningful reports.
  • Design and execute A/B tests across website and mobile applications to optimize user engagement and validate hypotheses.
  • Build predictive models to forecast future trends and drive business growth.
  • Create and maintain dashboards for monitoring KPIs and metrics.
  • Present data-driven insights and recommendations to stakeholders in a clear and concise manner.
Requirements:
  • Proven experience in Big Data analytics and working with analytical systems.
  • Proficiency in Amplitude and other advanced analytics platforms.
  • Strong ability to develop and validate global hypotheses.
  • Advanced knowledge of statistical modeling, predictive analytics, and machine learning techniques.
  • Proficiency in Power BI.
  • Exceptional analytical skills and a solution-oriented mindset.
Preferred Qualifications:
  • Previous experience in fintech or blockchain-based products.
  • Familiarity with Tangem Wallet or similar products.
  • Strong business acumen with the ability to connect data insights to business goals.
Working conditions:
  • Stability, growth, participation in shaping the future unicorn;
  • Remote work from any location, schedule based on GMT+3;
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