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 www.blend360.com
We are seeking a Campaign Data Analyst to contribute to our next level of growth and expansion.
Job DescriptionWhat is this position about?
- 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
- 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
- Knowledge of Python and libraries such as pandas, NumPy, or SciPy is a plus
- Experience with version control workflows (Git) and modernizing legacy data processes is preferred
What about languages?
English: Advanced (required for effective communication with global teams)
How much experience must I have?
5+ years of experience in data analytics, campaign segmentation, data validation, or operational analytics roles, with strong hands-on SQL and ETL execution skills.
Additional InformationOur Perks and Benefits:
📚 Learning Opportunities:
- 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.
👩🏫 Mentoring and Development:
- Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support:
- 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. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
So what are the next steps?
Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we'll explore working together!
Skills Required
- 5+ years of experience in data analytics, campaign segmentation, data validation, or operational analytics
- 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)
- Experience using Tableau and Looker for data validation and analytical slicing
- Background in marketing, CRM, customer data, or campaign operations
- Knowledge of Python and libraries such as pandas, NumPy, or SciPy
- Experience with version control workflows (Git) and modernizing legacy data processes
- English advanced (required for effective communication with global teams)
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
