Senior Campaign Data and Operations Analyst

Posted 8 Days Ago
Be an Early Applicant
Hiring Remotely in Santiago, Metropolitana de Santiago, CHL
In-Office or Remote
Senior level
Database • Analytics
The Role
Analyze campaign, customer, prospect, and audience data using Python and SQL; build and validate marketing audiences; manage campaign operations, data quality, reporting, dashboards, and automation. Partner with marketing stakeholders to optimize campaigns, investigate data issues, communicate insights, and establish scalable execution and quality-control frameworks.
Summary Generated by Built In
Company Description

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.

Job Description

We are seeking a Senior Campaign Data Analyst with strong Python and SQL skills to support our Digital Prospects Marketing / Campaign Operations Retainer. The ideal candidate will be responsible for analyzing large campaign datasets, developing actionable insights, and supporting campaign strategy through audience analysis and performance reporting. Experience working in big data environments and exposure to marketing campaign audience building and complex campaign analysis to support performance & strategy discussions.

Key Responsibilities:

Campaign Data Analysis & Insights

  • Perform advanced data analysis using Python and SQL to support digital marketing campaigns, campaign operations, and performance optimization.
  • Analyze customer, prospect, audience, and campaign data to identify trends, opportunities, anomalies, and actionable insights.
  • Conduct complex campaign performance analyses to support marketing strategy, optimization, and business decision-making.
  • Develop a strong understanding of business objectives, audience strategies, campaign requirements, and underlying data mappings to ensure accurate execution and reporting.

Campaign Operations & Audience Management

  • Own end-to-end campaign operations, from audience selection and campaign setup through execution, validation, and reporting.
  • Build, validate, and optimize marketing audiences for digital campaigns across multiple data sources.
  • Manage audience creation and list hygiene, including targeting criteria, suppression logic, exclusions, and data requirements.
  • Deliver accurate audience files and ensure flawless campaign execution through rigorous data validation and quality control (QC) processes.
  • Build and scale campaign processes from the ground up by establishing reusable execution, QC, documentation, and reporting frameworks.
  • Ensure data quality, consistency, and accuracy across multiple marketing and campaign data sources.
  • Maintain campaign metadata, data mappings, and reporting assets to support scalable and consistent campaign operations.

Reporting, Automation & Dashboards

  • Create, maintain, and enhance campaign performance reports, dashboards, and ad hoc analyses.
  • Develop reusable SQL queries and Python scripts to automate campaign reporting, data preparation, validation, and recurring analytical processes.
  • Create dashboards and reports to monitor campaign KPIs, customer engagement, conversion, and other marketing performance metrics.
  • Continuously improve reporting processes and analytical frameworks to increase efficiency, scalability, and accuracy.

Stakeholder Collaboration

  • Partner with marketing and campaign stakeholders to understand campaign objectives, audience requirements, and business priorities and translate them into analytical and operational solutions.
  • Collaborate with cross-functional teams to resolve data, audience, and campaign execution issues.
  • Present analytical findings, insights, and recommendations to business stakeholders in a clear, concise, and actionable manner.

Qualifications

Required Skills & Qualifications:

  • 5+ years of hands-on experience with Python for data analysis (Pandas, NumPy, data manipulation, automation) and advanced SQL skills with experience writing complex queries, joins, CTEs, window functions, and performance optimization with the ability to independently analyze data, troubleshoot issues, develop insights, and support end-to-end campaign execution.
  • Knowledge of CRM and marketing automation platforms (Adobe Campaign, Salesforce Marketing Cloud, Marketo, Eloqua, etc.).
  • Experience with visualization tools such as Power BI or Tableau.
  • Advanced Excel skills for data analysis, reporting, validation, reconciliation, and quality checks.
  • Hands-on experience with email marketing, digital marketing campaigns, audience management, campaign operations, or campaign execution.
  • Strong understanding of marketing data, audience segmentation, targeting, suppression logic, and campaign data flows.
  • Exceptional attention to detail with a strong quality assurance mindset and the ability to identify data discrepancies and campaign execution issues.
  • Ability to quickly understand business context, campaign objectives, operational processes, data relationships, and underlying data mappings.
  • Strong analytical and problem-solving skills, with the ability to investigate complex data issues and respond effectively to ad hoc analytical requests.

Nice to Have:

  • Experience with statistical analysis and predictive modeling.
  • Understanding of A/B testing, attribution models, and customer lifecycle analytics.
  • Experience working in Agile environments.

What about languages?

English: Advanced (required for effective communication with global teams)

Additional Information

Our 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 hands-on Python experience for data analysis, including Pandas, NumPy, data manipulation, and automation
  • Advanced SQL skills, including complex queries, joins, CTEs, window functions, and performance optimization
  • Ability to independently analyze data, troubleshoot issues, develop insights, and support end-to-end campaign execution
  • Knowledge of CRM and marketing automation platforms such as Adobe Campaign, Salesforce Marketing Cloud, Marketo, or Eloqua
  • Experience with Power BI or Tableau
  • Advanced Excel skills for analysis, reporting, validation, reconciliation, and quality checks
  • Hands-on experience with email marketing, digital marketing campaigns, audience management, campaign operations, or campaign execution
  • Strong understanding of marketing data, audience segmentation, targeting, suppression logic, and campaign data flows
  • Exceptional attention to detail and a strong quality assurance mindset
  • Ability to understand business context, campaign objectives, operational processes, data relationships, and data mappings
  • Strong analytical and problem-solving skills, including investigation of complex data issues and ad hoc analysis
  • Advanced English proficiency for communication with global teams
  • Experience with statistical analysis and predictive modeling
  • Understanding of A/B testing, attribution models, and customer lifecycle analytics
  • Experience working in Agile environments

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Columbia, MD
390 Employees
Year Founded: 2016

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.

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