Senior Campaign Data and Operations Analyst

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Conduct advanced data analysis utilizing Python and SQL to enhance digital marketing campaigns, campaign operations, and optimize performance.

• Evaluate customer, prospect, audience, and campaign data to uncover trends, opportunities, anomalies, and actionable insights.

• Perform in-depth analyses of campaign performance to support marketing strategy, optimization, and informed business decision-making.

• Gain a thorough understanding of business goals, audience strategies, campaign requirements, and data mappings for precise execution and reporting.

• Manage comprehensive campaign operations from audience selection and setup through execution, validation, and reporting.

• Construct, validate, and optimize marketing audiences from various data sources.

• Oversee audience creation and data hygiene, which includes targeting criteria, suppression logic, exclusions, and data requirements.

• Provide accurate audience files through meticulous data validation and quality control procedures.

• Develop and enhance scalable frameworks for campaign execution, quality control, documentation, and reporting.

• Ensure data quality, consistency, and accuracy across marketing and campaign data sources.

• Maintain campaign metadata, data mappings, and reporting resources.

• Generate and improve campaign performance reports, dashboards, and ad-hoc analyses.

• Create reusable SQL queries and Python scripts to automate reporting, data preparation, validation, and ongoing analysis.

• Design dashboards and reports to monitor campaign KPIs, customer engagement, conversion rates, and marketing performance metrics.

• Streamline reporting processes and analytical frameworks for greater efficiency, scalability, and accuracy.

• Collaborate with marketing and campaign stakeholders to translate objectives and requirements into analytical and operational solutions.

• Work alongside cross-functional teams to resolve data, audience, and campaign execution challenges.

• Present findings, insights, and recommendations to business stakeholders.

⛳️ Requirements

• Over 5 years of practical experience with Python for data analysis, including expertise in Pandas, NumPy, data manipulation, and automation.

• Proficient in advanced SQL, including complex queries, joins, CTEs, window functions, and performance optimization.

• Capability to independently analyze data, troubleshoot problems, derive insights, and support end-to-end campaign execution.

• Familiarity with CRM and marketing automation platforms such as Adobe Campaign, Salesforce Marketing Cloud, Marketo, or Eloqua.

• Experience with visualization tools such as Power BI or Tableau.

• Advanced Excel skills for data analysis, reporting, validation, reconciliation, and quality assurance checks.

• Direct experience with email marketing, digital marketing campaigns, audience management, campaign operations, or campaign execution.

• Strong comprehension of marketing data, audience segmentation, targeting, suppression logic, and campaign data flows.

• Exceptional attention to detail coupled with a robust quality assurance mindset.

• Ability to identify data inconsistencies and campaign execution issues.

• Capacity to understand business context, campaign objectives, operational processes, data relationships, and data mappings.

• Excellent analytical and problem-solving abilities.

• Experience with statistical analysis and predictive modeling is a plus.

• Knowledge of A/B testing, attribution models, and customer lifecycle analytics is advantageous.

• Experience in Agile environments is beneficial.

• Advanced English proficiency required for effective communication with global teams.

🏝️ Benefits

• Certifications in AWS, Databricks, and Snowflake.

• Access to AI learning paths.

• Tailored study plans, courses, and additional certifications relevant to the role.

• Access to Udemy Business.

• English language lessons.

• Opportunities for travel to industry conferences and client meetings.

• Career development plans and mentorship programs.

• Special rewards for birthdays, work anniversaries, and other personal milestones.

• Company-provided equipment.

• Flexible working options.

• Additional benefits may vary based on location in LATAM.