Senior Campaign Data and Operations Analyst

🕒 Setembro 10

🇦🇷 Argentina – Remoto

⏰ Tempo Integral

🟠 Sênior

⚙️ Operações

👻 Score fantasma 19%

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Blend360

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

🏥 Saúde

🏨 Hospitalidade

✈️ Turismo

💰 $100.000.000 Private Equity Round em 2022-08

Healthcare • Hospitality • Travel

A Blend360 é uma empresa de serviços profissionais especializada em soluções de IA, análise de dados e soluções orientadas por dados. Eles trabalham com empresas da Fortune 1000 e grandes marcas empresariais para enfrentar desafios significativos, integrando pessoas e inteligência artificial. A Blend360 foca em vários domínios, incluindo inteligência de negócios, engenharia de dados, ciência de dados, MLOps e governança de dados. Suas indústrias de expertise englobam serviços financeiros, energia, saúde e ciências da vida, varejo, tecnologia, mídia & telecomunicações e viagens & hospitalidade. A Blend360 é reconhecida por suas soluções de IA e dados, tendo recebido prêmios como "Solução do Ano em Capacitação de IA" e sendo listada entre os "Principais Provedores de Serviços de IA Generativa de 2024.

Descrição

• 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 understanding of business objectives, audience strategies, campaign requirements, and data mappings for 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 across multiple data sources • Manage audience creation and list hygiene, including targeting criteria, suppression logic, exclusions, and data requirements • Deliver accurate audience files through rigorous data validation and quality control processes • Build and scale reusable campaign execution, QC, documentation, and reporting frameworks • Ensure data quality, consistency, and accuracy across marketing and campaign data sources • Maintain campaign metadata, data mappings, and reporting assets • Create and enhance campaign performance reports, dashboards, and ad hoc analyses • Develop reusable SQL queries and Python scripts to automate reporting, data preparation, validation, and recurring analysis • Create dashboards and reports monitoring campaign KPIs, customer engagement, conversion, and marketing performance metrics • Improve reporting processes and analytical frameworks for efficiency, scalability, and accuracy • Partner with marketing and campaign stakeholders to translate objectives and requirements into analytical and operational solutions • Collaborate with cross-functional teams to resolve data, audience, and campaign execution issues • Present findings, insights, and recommendations to business stakeholders

🎯 Requisitos

• 5+ years of hands-on experience with Python 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 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 and a strong quality assurance mindset • Ability to identify data discrepancies and campaign execution issues • Ability to understand business context, campaign objectives, operational processes, data relationships, and data mappings • Strong analytical and problem-solving skills • Experience with statistical analysis and predictive modeling is nice to have • Understanding of A/B testing, attribution models, and customer lifecycle analytics is nice to have • Experience working in Agile environments is nice to have • Advanced English required for effective communication with global teams

🏖️ Benefícios

• Certifications in AWS, Databricks, and Snowflake • Access to AI learning paths • Study plans, courses, and additional certifications tailored to the role • Access to Udemy Business • English lessons • Travel opportunities to attend industry conferences and meet clients • Career development plans and mentorship programs • Special day rewards for birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to location in LATAM