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Protocol Intelligence
Data-driven signals on your job's competitivenessGeneralist data analyst title, metro location, and common 1–3 year experience increase applicant competition.
Role mixes transferable Python/SQL ETL skills with specialized US consumer transaction research and merchant taxonomy.
Explicit 1–3 year requirement plus mandatory Python, SQL, regex, AWS, and US-timezone availability.
Job Description
Structured overview of role & requirementsAbout This Role
Analyze US consumer credit card spend data to research, classify, and map brands and merchants for accurate insights and analytical reporting.
Build and maintain data pipelines using Python and SQL to transform raw transaction data into analysis-ready datasets, collaborating with senior engineers and data scientists.
Produce clear analytical reports, support data workflow development and monitoring on AWS services, and ensure data quality with checks and reconciliation routines.
Minimum Requirements
1 to 3 years of professional experience in data analysis, data engineering, market research, or closely related role.
Strong proficiency in Python (production-quality scripting) and SQL including complex queries and optimization.
Mandatory working knowledge of regular expressions and AWS services (S3, Glue, Athena, Redshift).
Graduate degree required; working knowledge of ETL/ELT concepts, data modeling, Git, and AI-assisted coding tools.
Ideal Candidate Profile
Comfortable working with US Eastern time zone hours or hybrid half IST/half EST based on project needs.
Experienced in detailed online research and able to resolve ambiguous data records through unconventional information sources.
Capable of delivering well-documented, high-standard classification and data engineering work with client communication skills.