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Campaign Data Analyst

RemoteArgentina only
Published
Role
Data Engineering
Experience
Senior
Employment
Contract
Salary not disclosed
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Open to AR only. Set where you work from to check your eligibility.

No BS summary

Senior campaign/data analyst with 5+ years in data analytics, campaign segmentation, data validation, or operational analytics. Must have strong SQL, SSIS/Visual Studio ETL execution, analytical QA, secure data transfer experience, and advanced English.

Core skills

SQLSSIS

Required skills

Visual StudioSFTP

Optional skills

PythonpandasNumPySciPyGit

Required languages

English Advanced required for effective communication with global teams.

What you'll do

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

What they require

  • Strong SQL skills for segmentation, extraction, and analytical validation
  • Hands-on experience with SSIS and Visual Studio for ETL workflow execution
  • Proven experience validating large datasets and performing analytical QA checks
  • Familiarity with secure data transfer processes (SFTP, encryption/decryption)
  • Background in marketing, CRM, customer data, or campaign operations
  • Preferred: Knowledge of Python and libraries such as pandas, NumPy, or SciPy
  • Preferred: Experience with version control workflows (Git) and modernizing legacy data processes
  • English: Advanced (required for effective communication with global teams)
  • 5+ years of experience in data analytics, campaign segmentation, data validation, or operational analytics roles, with strong hands-on SQL and ETL execution skills.

Benefits

  • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
  • Access to AI learning paths to stay up to date with the latest technologies.
  • Study plans, courses, and additional certifications tailored to your role.
  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
  • English lessons to support your professional communication.
  • Travel opportunities to attend industry conferences and meet clients.
  • Career development plans and mentorship programs to help shape your path.
  • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
  • Company-provided equipment.
  • Flexible working options to help you strike the right balance.
  • Other benefits may vary according to your location in LATAM.

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What people say about this company

3.8/ 5

Details

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Salary not disclosed