Senior Data Analyst

Description

• Trust Wallet is the world’s most inclusive, chain-agnostic, self-custody wallet, serving over 100 million users globally.
• It offers a secure, seamless, and intuitive gateway to Web3, enabling users to send, receive, stake, swap, and store over 10 million cryptocurrencies across 100+ blockchains.
• We are looking for a Senior Data Analyst to spearhead the development of our data analytics operations.
• As the first Data Analyst at our company, you will work closely with engineering, product, and leadership teams to build a data-driven culture.

Requirements

• Bachelor’s degree in a related field (Data Science, Statistics, Computer Science, etc.) or equivalent work experience.
• 5+ years of experience as a Data Analyst or in a similar analytical role, preferably in a fast-growing tech environment.
• Proven expertise in building and managing data lakes, with hands-on experience in AWS (S3, Athena, Redshift, Glue).
• Strong proficiency in SQL, data visualization tools (Tableau, Power BI), and experience with Python or R.
• Demonstrated experience in establishing data governance frameworks and ensuring data quality.
• Excellent communication skills with the ability to explain complex data to non-technical stakeholders.

Responsibilities

• Lead the development of data analytics initiatives, focusing on creating meaningful insights for business units.
• Utilize the AWS data lake to gather, process, and analyze large datasets, ensuring data is accessible, accurate, and actionable.
• Collaborate with cross-functional teams to understand business needs and develop metrics, reports, and dashboards that drive decision-making.
• Define and implement data governance practices, ensuring data integrity and security.
• Develop automated reporting systems and scalable analytics processes.
• Serve as the subject matter expert for data analytics within the organization.
• Mentor and train other employees on best practices in data analytics, visualization, and reporting.

Benefits

Required Skills