Product Data Analyst - Paze

Early Warning Services

Early Warning Services has been a leader in securing the U.S. financial system for over three decades, offering innovations like Zelle® and Paze℠. Operating with thousands of partner institutions, they provide widespread access and transaction protection for millions. The role of Product Data Analyst focuses on harnessing data to guide product insights and growth opportunities, collaborating closely with data engineering and senior leadership.

In this role you can expect to have the responsibilities:

• Understand and interpret key data elements, including their business definitions and implications.
• Execute data mapping and lineage activities to track data from origin to reports.
• Conduct data profiling to ensure accuracy and cleanliness, identifying issues and providing critical insights.
• Perform advanced analyses using tools like Python and SQL to support business requirements.
• Collaborate with stakeholders to ensure reporting meets their needs.
• Craft and communicate strategies and findings to stakeholders, including senior management.
• Influence product direction through data insights.
• Uphold risk management principles and ensure system and data security.

This role comes with the following benefits:

• Competitive healthcare plans covering medical, dental, and vision.
• 401(k) plan with company match for retirement savings.
• Unlimited paid time off for salaried employees, plus 11 paid holidays.
• 12 weeks of paid parental leave.
• Maven Family Planning support for various parenting needs.

This role requires you to have:

• Bachelor’s degree in a quantitative field.
• Minimum of 4 years in data analytics or a related field.
• Strong analytical and independent work capabilities.
• Proficiency in SQL and Python.
• Experience with data visualization tools, such as Tableau.
• Exceptional organization skills, multi-tasking ability, and project management.

You would benefit from having:

• Experience with AWS and Redshift.
• Master’s degree in a quantitative discipline.
• Background in payments or financial services.

Early Warning Services is committed to addressing the employment needs of qualified candidates with arrest and conviction records in accordance with the San Francisco Fair Chance Ordinance. They adhere to equal employment opportunity practices and affirm non-discrimination based on various protected factors.