Junior Predictive Analytics & Finance Strategy Analyst

Socket.dev; Olde West Chester (OH); On-site; USD 60,000 - 90,000; Full time

Job summary

Worldpay is seeking a Business Data Analyst I - Predictive Modeling, Statistics, Finance & Strategic Planning to join our Pricing Data Analytics team and help shape the future of global commerce.

This hybrid role is based in the US, with in-office work three days a week in Cincinnati, OH or Atlanta, GA, and requires 1–2 years of relevant experience. You will work with Snowflake, R, Python, SQL and Tableau to build models, analyze data, present insights, and support cross‑functional stakeholders.

Qualifications

• 1–2 years of relevant professional experience.
• Strong understanding of internal business segments (stakeholders) and presentation skills.
• Experience with relational database structures, research methods, sampling techniques and system testing.
• Proficiency in large-scale data sets; scripting in Snowflake, R and Python; knowledge of SQL and Tableau.

Responsibilities

• Using predictive modeling, statistics, trend analysis and other data analysis techniques to collect, explore and identify right data to be analyzed from internal and external sources.
• Assists business analysts with finding patterns and relationships in data.
• Builds predictive models using data, tests the model on results outside of the sample size and verifies model in real world.
• Proactively and effectively interacts with other internal groups throughout Global Payments

Skills

Communication

Presentation

Analytical thinking

Team collaboration

Tools

Snowflake

R

Python

SQL

Tableau

Job description

Worldpay is seeking a Business Data Analyst I - Predictive Modeling, Statistics, Finance & Strategic Planning to join our Pricing Data Analytics team and help shape the future of global commerce.

This hybrid role is based in the US, with in-office work three days a week in Cincinnati, OH or Atlanta, GA, and requires 1–2 years of relevant experience. You will work with Snowflake, R, Python, SQL and Tableau to build models, analyze data, present insights, and support cross‑functional stakeholders.