Zencoder is seeking a Senior Data Analyst to enhance data collection, analysis, and action across its AI-powered coding platform.
The role involves building scalable data infrastructure, designing high-quality data models, evaluating AI agents, and providing insights to decision-makers including engineers, product managers, and the founder.
The position is part of a small, ambitious Data & Analytics team, offering a unique opportunity to influence analytics at a rapidly growing AI company.
Responsibilities include designing and running A/B tests, developing standardized processes for tracking analytical events, transforming raw data into insights, improving reporting systems, ensuring data quality, and architecting data warehouse (DWH) models.
Requirements:
Candidates must have a strong statistical or mathematical background.
A minimum of 5 years of experience in quantitative analysis, particularly in evaluating product performance, is required.
Hands-on experience in designing and analyzing A/B experiments is essential.
A passion for data-driven decision-making and the ability to address complex questions through metrics and analytics is necessary.
Proficiency in SQL, including the ability to write and optimize complex queries, is required.
Understanding of Data Governance and Data Quality processes is important.
Experience in creating reports and dashboards using BI tools is needed.
Willingness to undertake data engineering tasks when necessary is expected.
Benefits:
Employees will have the opportunity to make a massive impact in the evolving field of AI and software development.
The company prioritizes meaningful work, eliminating busywork to allow focus on interesting problems.
Leadership is experienced, with Andrew Filev having a successful track record in scaling companies.
The team consists of high talent density, ensuring minimal oversight is needed.
The company is remote-friendly, hiring globally and valuing output over time zones.
Employees will receive equity, making them part of the company's success.