Senior Data Analyst

affinipay1; United States; Remote; USD 95,000 - 165,000; Full time

Job summary

affinipay1 is seeking a Senior Data Analyst to support FP&A, Partnerships, and Product through analytics, automated reporting, and actionable insights. The role collaborates with Data Engineering to build scalable data models, with an Employer of Record partner and work aligned to the Czech Republic calendar and statutory framework.

The candidate will perform ad hoc analysis, automate data transformations, and create rich visualizations while communicating insights to both technical and

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.

Responsibilities

• Perform ad hoc analysis to surface trends and root causes across the product ecosystem.
• Partner with Data Engineering to automate data transformations.
• Collaborate with Finance, Accounting, Partnerships, and Product to convert findings into business insights.
• Manage the full data lifecycle from collection to presentation, including qualitative and quantitative analysis.
• Build interactive visualizations to help stakeholders understand their area of the business.
• Communicate insights clearly through written summaries and data storytelling for both technical and non-technical audiences.

Skills

SQL

Excel

Python

Tableau

Sigma

Snowflake

Redshift

Problem scoping

Education

Bachelor's degree in quantitative field

Tools

Tableau

Sigma

Snowflake

Redshift

Job description

Role overview

A Senior Data Analyst is needed to support FP&A, Partnerships, and Product functions by delivering analytics, automated reporting, and actionable insights. The position sits at the intersection of analytics, finance, and business strategy, partnering closely with Data Engineering to build scalable data models. The role is hired through an Employer of Record partner, with work aligned to the Czech Republic calendar and statutory framework.

Responsibilities

• Perform ad hoc analysis to surface trends and underlying root causes across the product ecosystem
• Partner with Data Engineering to automate data transformations based on analytical findings
• Work cross-functionally with Finance, Accounting, Partnerships, and Product teams to convert findings into business insights
• Manage the full data lifecycle, from collection and measurement through interpretation and presentation, including qualitative and quantitative analysis
• Build rich, interactive visualizations that help stakeholders understand their area of the business
• Communicate insights clearly through written summaries, presentations, and data storytelling tailored to both technical and non-technical audiences

Requirements

• Bachelor's degree, preferably in a quantitative field such as Statistics, Business, Computer Science, or Engineering, or equivalent experience
• Advanced SQL and Excel skills for data transformation
• Proficiency with Python for transforming, analyzing, and visualizing data
• Hands-on experience with a BI or visualization platform such as Tableau or Sigma
• Familiarity with modern data stacks, including cloud data warehouses like Snowflake or Redshift
• 4+ years of experience in banking, payment processing, or other finance technology, plus 2+ years in B2B SaaS or other subscription-based businesses
• Demonstrated ability to scope ambiguous problems independently and present data-driven recommendations

Nice to have

• Prior exposure to experimentation, cohort analysis, or product usage analytics
• Experience using generative AI tools to create interactive data tools and improve workflows

Benefits and work setup

• Employment structured through an Employer of Record in the Czech Republic, with paid time off and sick leave aligned to the Czech calendar
• Statutory benefits including public health insurance, social security, pension, and work accident coverage, plus additional paid paternity leave
• Maternity, paternity, and parental leave in line with Czech regulations
• Access to a learning platform (including a Gen AI Academy) and ongoing professional development with clear growth paths
• International collaboration across European and U.S. teams, with occasional travel for company events
• Wellness, learning, and community programs, plus team outings and engagement initiatives