Senior Data Analyst
Wallet
Wallet on Telegram is your gateway to the world of digital currencies, specially tailored for individuals in emerging markets. We understand the complexities and intimidation often associated with existing crypto solutions, which is why we've designed the Wallet to be the ultimate user-friendly platform for managing finances. No need to open a traditional bank account or wrestle with convoluted crypto exchanges and wallets.
Leveraging the power of advanced blockchain technology, Wallet delivers a seamless onboarding experience into the crypto ecosystem. It enables users to effortlessly store, send, and receive digital currencies, all via the familiar interface of Telegram. Managing your finances becomes as simple as sending a message.
At Wallet, we're committed to using technology to disrupt traditional banking systems, providing our customers with more flexible and inclusive financial services. Whether you're a crypto novice or seeking to simplify your digital finance experience, Wallet is crafted with your needs in mind.
Now, we are seeking a Senior Data Analyst
Responsibilities:
- You are going to work with large and complex data sets to solve challenging problems using analytical and statistical approaches.
- Identify and measure the success of our products through goal setting, forecasting, and monitoring key metrics to understand trends.
- Develop and maintain frameworks for multiple analytical products, e.g., A/B testing, marketing attribution, propensity and risk scores, etc.
- Use ML techniques to help business growing.
- Use data visualization tools to create clear, actionable insights for stakeholders.
- Engage in data modeling to effectively map out data structures that support business goals.
- Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy.
Requirements:
- Proven experience of more than 3 years as a Data Analyst, preferably in the fintech or crypto industry.
- Proficiency in SQL.
- Knowledge of Python (data processing and analysis).
- Knowledge of statistical analysis methods and excellent analytical skills.
- Experience with Python for ML will be a plus.
- English knowledge (at least level B1) is required.
- Communication skills (work with cross-functional teams).
Why it is a fantastic opportunity:
- Our business is growing at an exponential scale.
- Work in a well-funded startup environment with unique growth opportunities and a chance to join a rapidly growing company with a unique product.
- Be based remotely.
- Participation in the performance review and bonus programme.
- Compensation for medical expenses.
- Provision of necessary equipment.
- Annual vacation of 20 working days plus 10 paid days off.
- 14 days of paid sick leave to support your health and recovery when needed.
- Access to internal English courses for continuous learning and improvement in language skills.