Revenue Intelligence Operations Analyst

🕒 il y a 1 jour

🇺🇸 États-Unis – Télétravail

💵 $61 200 - $102 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

⚙️ Opérations

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Veeam Software

Veeam Software

1001 - 5000 employés

Fondée en 2006

💼 Conseil

📦 Logistique

☁️ SaaS

💰 €500 000 000 Private Equity Round en 2019-01

Consulting • Logistics • SaaS

Veeam Software est un leader mondial de la résilience et de la protection des données, proposant un logiciel de protection des données autogéré pour les environnements cloud hybrides et multi-cloud. La Veeam Data Platform offre des solutions complètes de sauvegarde, de restauration et de sécurité des données, intégrant les principes Zero Trust et des outils d’IA pour l’intelligence des données. L’offre de Veeam comprend des services de sauvegarde et de stockage sécurisés pour des plateformes telles que Microsoft 365, AWS et Google Cloud, prenant en charge des charges de travail variées, notamment des environnements virtuels, physiques et SaaS. Réputé pour son innovation et la confiance de ses clients, Veeam accompagne un large éventail d’industries, garantissant la résilience des données face aux perturbations telles que les attaques par rançongiciel. Ses solutions permettent aux entreprises de bénéficier de la liberté des données, d’un stockage sécurisé et d’une gestion efficace, renforçant sa position de fournisseur de référence de logiciels de sauvegarde et de restauration pour l’entreprise à l’échelle mondiale.

Description

• Analyze marketing performance data to identify trends, performance drivers, and optimization opportunities • Evaluate customer acquisition, engagement, and conversion metrics to support marketing decision-making • Design and implement scalable lead ingestion solutions using AI-driven data parsing, validation, enrichment, and automation techniques • Translate complex data into clear insights and recommendations for stakeholders • Support ad-hoc analysis and proactively identify opportunities for deeper insights • Write efficient SQL queries to extract, transform, and analyze marketing and enterprise data • Use Python for data preparation, automation, and analysis • Assist with building and maintaining curated datasets, data models, and data quality checks • Utilize AI-assisted development tools, including Claude Code, to build interfaces, agents, and workflow automations • Develop and maintain dashboards and marketing performance reports using BI tools • Automate recurring reporting processes to improve efficiency and scalability • Partner with marketing, analytics, data science and data engineering teams to support reporting and data needs • Document data definitions, logic, and reporting methodologies

🎯 Exigences

• Strong working knowledge of SQL, including joins, aggregations, and data transformations • Basic to intermediate proficiency in Python with experience using data libraries such as pandas and NumPy through coursework, projects, or internships • Exposure to Databricks, Apache Spark, or cloud-based data environments • Experience working with real-world datasets and performing data validation and troubleshooting • Strong curiosity and willingness to learn • Strong analytical and problem-solving abilities with attention to detail • Ability to communicate technical findings to non-technical audiences • Ability to manage multiple priorities and collaborate effectively across teams • Bachelor’s degree in Data Analytics, Computer Science, Statistics, Business Analytics, Marketing Analytics, or related quantitative field • Experience with Tableau, Power BI, or similar visualization tools is nice to have • Familiarity with marketing analytics concepts or campaign performance metrics is nice to have • Exposure to marketing platforms such as Google Analytics or Salesforce is nice to have • Experience using version control tools such as Git is nice to have • Understanding of ETL or data pipeline concepts is nice to have

🏖️ Avantages

• Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents • Medical, dental, and vision coverage starting on your first day • Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program • 401(k) retirement plan with company matching contributions • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time • AirVet: 24/7 virtual veterinary care at no cost • Legal services, identity protection, and supplemental health insurance options • Tax-advantaged spending accounts for healthcare, dependent care, and commuting • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning • Mentorship and development in SQL, Python, Databricks, and modern analytics tools

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