Data Quality Analyst
Location: Austin, TX (hybrid-on site 3 days per week)
Job Type: This is a Full-Time W2 position with us here at Formula.Monks where you will be working as a consultant at this top FAANG company. Since you’re a full time-employee, you will receive an annual salary, full benefits, PTO, 401K etc. This position is on a high impact team working on a long-term engagement. You are also able to explore employment opportunities at this tech company while working via Formula.Monks!
Description
This role is crucial for ensuring high-quality data as a solution platform at scale, encompassing data quality and operational efficiency. You will collaborate closely with data engineering, data science, and data infrastructure teams. We seek a proactive self-starter who learns quickly, adapts to changing requirements, and excels in diverse, collaborative environments
In this role you will:
Deep dive into various financial data points in different sets of hierarchies, understanding the nuances of how complex data behaves
Document customer issues and recurring technical issues to support product quality programs and product development
Perform root cause analysis during failures and document scenarios for future references
Troubleshoot problems with malfunctioning software applications and being able to recommend and take corrective action
Work closely with technical teams, Product Manager, and QA to ensure the stability and reliability of business systems
Execute test scenarios in a repeatable manner, allowing for easy monitoring
Communicate status updates to users and stakeholders concisely in a timely manner
Key Qualifications
4+ years of experience working as a Quality Engineer, Quality Analyst, Developer, or in quality-related roles
Experience in customer service roles with a focus on quality assurance in data-related products/platforms
Testing, validating, and monitoring/supporting data platforms and data, optimizing existing solutions, and reporting service status.
Experience with SQL including performance tuning, and proficiency with at least one major data analytics platform like Snowflake
Excellent oral and written communication skills, with the ability to translate technical details for end users
Experience in monitoring daily operations for business systems, including performance, data loads, provisioning, and network traffic
Experience in test strategy, planning, and execution, including functional and non-functional testing
Proficiency with data visualization tools preferred (Tableau)
Familiarity with version control systems (e.g., GIT), CI/CD practices, and testing and migration tools for databases and software
