Payments Data & Analytics-Data Scientist Associate

Bachelor’s or Master’s degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field with minimum 2 years’ of relevant work experience.
Experience in writing complex SQL queries, with knowledge of assessing and sourcing data, optimizing data structures, and managing database query performance.
Expertise in quantitative research techniques and analytics using Python.
Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables.
Strong written and oral communication skills to clearly present analytical findings and make business recommendations and prepare executive level communications.
Proven ability to collaborate effectively and cultivate strong partnerships.

Design and execute analytic projects by comprehending business objectives and conducting thorough analyses to recommend solutions that align with project goals.
Employ tools such as Snowflake, Python, and Tableau to develop data pipelines and dashboards, facilitating AI-driven insights and informed decision-making.
Provide merchants with actionable recommendations to enhance their cost strategies.
Sustain and enhance the capabilities of existing analytic products for both internal and external audiences.
Work collaboratively with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms.
Follow change control and testing procedures for any modifications to code and products.

Ability to perform rapid prototyping in Tableau and streamlit.
Experience in the payments industry and/or technology-enabled industries is desirable.
Familiarity with Snowflake and foundational understanding of cloud services.
Attention to detail with a proven ability to learn new concepts and skills quickly.
Ability to clearly develop and document analytic requirements with stakeholders.
Knowledge of machine learning/data science theory, techniques, and tools.