Senior Campaign Data and Operations Analyst

Blend360

Región Centro

On-site

MXN 700,000 - 900,000

Full time

7 days ago
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Benefits offered by this job

Christmas Bonus
Saving Fund
MetLife Life Insurance with funeral""s
MetLife Medical Insurance including"d
Vacation days
Flexible working options
English lessons

Job summary

Blend is a premier AI services provider seeking a Senior Campaign Data Analyst to support Digital Prospects Marketing and Campaign Operations Retainer. You will analyze large datasets using Python and SQL, develop actionable insights, and support campaign strategy through audience analysis and performance reporting.

Responsibilities span data analysis, audience management, and stakeholder collaboration, with a focus on scalable processes and quality control.

Qualifications

  • 5+ years hands-on Python data analysis and SQL; ability to write complex queries and optimize performance.
  • Experience with CRM/marketing platforms (Adobe Campaign, SFMC, Marketo, Eloqua).
  • Experience with Power BI or Tableau for visualization.
  • Advanced Excel skills for data analysis and QA.
  • Experience with email/digital marketing campaigns and audience management.

Responsibilities

  • 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.
  • 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.
  • Deliver accurate audience files and ensure flawless campaign execution through QC processes.
  • Create dashboards and reports to monitor KPIs and marketing performance.

Skills

Python (Pandas)
SQL
CRM platforms
Power BI
Tableau
Excel
Email marketing
Campaign operations
Audience management
Data analysis

Tools

Adobe Campaign
Salesforce Marketing Cloud
Marketo
Eloqua

Job description

Senior Campaign Data and Operations Analyst
  • Full-time

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 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.
  • 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.
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 optimizationwith 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)

Our Perks and Benefits:
  • Christmas Bonus.
  • Saving Fund.
  • MetLife Life Insurance with funeral coverage.
  • MetLife Medical Insurance including dental discounts and vision plan.
  • Dependents optional with additional cost.
  • Vacation days with annual increases based on tenure.
  • Official holidays by law.
  • Holy week.
  • Day of the Dead.
  • Christmas Eve.
  • Flexible working options to help you strike the right balance.
  • Study plans, courses, and professional development opportunities.
  • English lessons to support your professional communication.
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