Campaign Data Analyst

Overview

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy.

We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit

This role focuses on executing data-driven campaigns through segmentation, list generation, and data validation using established SQL frameworks and a legacy technology stack. You’ll combine strong SQL execution skills with Python-based analytics and automation to improve data quality, reduce risk, and streamline recurring campaign workflows.

This is an execution + analytics role — not a machine learning modeling or AI research position.

• Translate campaign requirements into segmentation logic, SQL queries, and executable workflows
• Execute campaign code and generate list pulls using existing frameworks
• Validate campaign outputs through reconciliation checks, exploratory analysis, and edge case detection
• Support validation, automation, and recurring QA tasks
• Perform statistical checks to confirm segment distributions, thresholds, and suppression logic
• Review historical campaign performance to identify patterns, risks, and execution improvements
• Use Tableau and Looker for slicing/filtering and validating data (not dashboard development)
• Write, optimize, and maintain SQL queries for large-scale extraction and analysis
• Support ETL workflows in SSIS (Visual Studio), including job monitoring and troubleshooting
• Ensure secure delivery and compliance through SFTP transfers, encryption/decryption, and governance standards
• Identify opportunities to automate campaign execution and validation to improve reliability

• Strong SQL skills for segmentation, extraction, and analysis
• Hands-on experience with SSIS and Visual Studio
• Experience validating large datasets and performing analytical QA checks
• Familiarity with secure data transfer processes (SFTP, encryption/decryption)
• Experience with Python and libraries such as pandas, Num Py, Sci Py is a nice to have
• Experience in marketing, CRM, customer data, or campaign operations is desired
• Familiarity with Git or version control workflows and experience improving or modernizing legacy data processes are preferred.

Advanced English proficiency is required for effective communication with international teams and stakeholders.

5+ years of experience in one or more of the following:

• data analytics
• campaign analytics / segmentation
• applied analytics / operational analytics
• data QA / validation work supporting production outputs

Benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.