Product Data Analyst - Paze

Early Warning Services

Early Warning Services has been a trusted name in payments for over thirty years, partnering with thousands of institutions to enhance financial access and secure transactions for millions of consumers and small businesses. This Product Data Analyst role will involve providing product insights and growth opportunities, setting direction for data reporting, and communicating with senior leadership. This position is available in Scottsdale, San Francisco, Chicago, or New York and follows a hybrid work model.

In this role you can expect to have the responsibilities:

• Understand and communicate key data elements and their business implications
• Perform data mapping and data lineage activities to trace data from source to reports
• Conduct data profiling to ensure accuracy and identify quality issues
• Perform advanced ad hoc analysis using tools like Python and SQL
• Collaborate with reporting users to address key questions via dashboards
• Develop and implement data-related strategies and initiatives
• Communicate complex findings and recommendations to stakeholders
• Influence product direction based on data insights
• Support the company’s commitment to risk management and data integrity

This role comes with the following benefits:

• Competitive medical (PPO/HDHP), dental, and vision plans
• Company contributions to HSA and pre-tax savings through FSA for health and dependent care expenses
• 401(k) Retirement Plan with a 100% Company Safe Harbor Match on 6% deferral
• Unlimited PTO for exempt employees, generous PTO for non-exempt employees, 11 paid company holidays, and a paid volunteer day
• 12 weeks of paid parental leave
• Maven Family Planning support for parenting journeys such as fertility, adoption, surrogacy, and postpartum care

This role requires you to have:

• Bachelor’s degree in a quantitative field like Economics, Mathematics, Engineering, Finance, or related field
• Minimum 4 years of experience in data analytics, data science, business analytics, or related experience
• Strong analytical skills with attention to detail and the ability to work independently
• Proficiency in SQL and Python
• Strong working knowledge of data visualization tools, such as Tableau
• Excellent communication skills to articulate technical ideas to non-technical audiences

You would benefit from having:

• Experience with AWS, Redshift, Quicksight, Athena
• Master’s degree in quantitative discipline
• Prior experience in payments, financial services, or regulated industry

Early Warning Services is committed to equal employment opportunity and affirmative action. The company evaluates candidates based on ability, potential, and valid qualifications without regard to protected characteristics. Candidates responding to this posting must possess independent eligibility to work in the United States. The company also engages in fair wage practices and considers qualified applicants with arrest and conviction records.