
Data Analyst
3 days ago
**About Triple-A**:
Triple-A is a licensed crypto payment gateway that helps businesses increase their revenue by enabling crypto payments and payouts, giving them access to the spending power of the fast-growing 420m+ cryptocurrency users.
Triple-A’s white label crypto payments solutions allow businesses from all industries to leverage the benefits of the growing crypto market without being exposed to volatility risk or having to handle or convert digital currencies. Our solutions are compatible with all wallets, easy to integrate and offer instant confirmation, locked-in exchange rates and chargeback protection.
**Join the team**:
Triple-A is looking for an experienced and highly motivated individual to join as our first Data Analyst and help shape our data strategy and culture. In this role, you will have the opportunity to work on diverse set of problems. Examples include building dashboards and reports to help the sales team understand our metrics and data, conducting deep-dive analyses to determine drivers of business trends, and building automated insights to proactively surface data trends for internal users.
**Responsibilities**:
- Work closely with business teams (sales, finance, compliance) and product to solve complex challenges at the intersection of business and technology using data.
- Design, build and maintain business intelligence infrastructure to improve the availability and usability of data and insights.
- Provide operational support for initiatives across a range of technical and non-technical topics.
- Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
- Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets
- 5+ years of experience in Data Engineering, Data Analyst and/or Data Science role, with a focus on building data pipelines and/or analyzing large data sets to solve problems.
- Expert knowledge of SQL.
- Expertise in visualization, and using data insights to deliver actionable recommendations and drive business goals.
- Ability to communicate results clearly and a focus on driving impact.
- Experience working with cross-functional teams to deliver results.
- Prior experience with writing and debugging data pipelines
**Big pluses that would benefit you and us**:
- A passion for cryptocurrencies.
- Payment or fintech experience.
- Prior experience at an early-stage startup.
- Knowledge of data processing frameworks such as Python, Spark, Scala
- Good understanding of the development process and best practices (e.g. engineering standards, code reviews, testing and validation) with an appreciation for maintaining a high-quality bar with low operational overhead.
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