Campaign Data Analyst

Location: Santiago, Santiago Metropolitan Region, Chile

Company

hirify.global is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver data-driven solutions for clients.

What you will do

• Translate campaign requirements into segmentation logic, SQL queries, and executable workflows.
• Execute campaign code, generate list pulls, and maintain large-scale extraction queries.
• Validate campaign outputs through reconciliation, exploratory analysis, statistical checks, and edge-case detection.
• Support SSIS ETL workflows in Visual Studio, including job monitoring and troubleshooting.
• Use Tableau and Looker for data validation and analytical slicing.
• Improve campaign reliability through automation, secure SFTP delivery, encryption, and governance controls.

Requirements

• 5+ years of experience in data analytics, campaign segmentation, data validation, or operational analytics.
• Strong hands-on SQL skills for segmentation, extraction, and analytical validation.
• Experience with SSIS and Visual Studio for ETL workflow execution.
• Experience validating large datasets and performing analytical QA checks.
• Familiarity with SFTP and encryption/decryption processes.
• Advanced English required for communication with global teams.

Nice to have

• Knowledge of Python, pandas, NumPy, or SciPy.
• Experience with Git and modernization of legacy data processes.
• Background in marketing, CRM, customer data, or campaign operations.

Culture & Benefits

• Flexible working options.
• Access to AWS, Databricks, Snowflake, and AI learning paths.
• Study plans, courses, certifications, and Udemy Business access.
• English lessons, mentorship, and career development plans.
• Industry conference and client travel opportunities.
• Company-provided equipment and location-dependent LATAM benefits.

Hiring process

• Submit a resume or LinkedIn profile for review.
• Continue discussions with the hiring team regarding potential collaboration.