Business Data Engineering & Analyst

About Zengo

At Zengo, we’re revolutionizing secure self-custody. Our mission is simple: to provide unparalleled, secure, user-focused products in a landscape where assets are often at risk.

Founded in 2019, Zengo was the first crypto wallet to leverage cutting-edge MPC cryptography to eliminate traditional (and vulnerable!) seed phrases. Today, Zengo stands as the industry leader in consumer MPC wallets, trusted by over 1,000,000 users worldwide, with a track record of zero wallets ever hacked, phished, or drained. Backed by top-tier VCs, we are expanding our rockstar team: Come and join the most disruptive crypto wallet platform building a suite of the most secure products in the industry.

Description

As a Business Data Engineering & Analyst at Zengo, you will be responsible for leading and managing the data function to support the company’s business analysis needs. Your role will include:

Key Responsibilities:

• Data Infrastructure: Create and maintain robust data infrastructure to support all business analysis needs.
• Business Requirements: Specify and manage business requirements and data needs for different functions within the company.
• Reporting: Develop and maintain comprehensive business reports using data inferences and visualization tools.
• Experiment Analysis: Analyze product and marketing experiments to enable optimization towards key performance indicators (KPIs).

Required Qualifications:

• BS degree in Mathematics, Computer Science, Information Management or Statistics
• 2-4 years minimum experience as a Data analyst, data infrastructure management, and business intelligence.
• Experience in B2C mobile product company. 
• Advanced knowledge of SQL, Python, or R for data manipulation and analysis.
• Advanced knowledge of AWS services (Lambda, S3, DMS, RDS, DynamoDB, Redshift)
• Strong analytical skills with the ability to translate business needs into technical specifications.
• Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker).
• Experience in designing and analyzing experiments to drive product and marketing improvements.
• Excellent communication skills to effectively convey data-driven insights to stakeholders.
• Familiarity with mobile product metrics and KPIs.