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Palo Alto Networks

Builds cybersecurity tools for organizations

Technical Data Operations Analyst

Data ManagementUpdated on Nov 10
Full-timeCalifornia, USA

About the Job

Requirements

  • Experience in Marketing Operations or Digital Marketing roles, with a track record of supporting technical initiatives.
  • Practical experience contributing to the design and implementation of data infrastructure for real-time decisioning.
  • Strong working knowledge of technical integrations across the marketing technology stack, including customer data platforms, customer relationship management systems such as Salesforce, and data warehousing solutions such as Snowflake or BigQuery.
  • Hands-on experience with LeanData, Demandbase, and Allocadia operations and orchestration platforms.
  • Technical proficiency in artificial intelligence and machine learning, generative artificial intelligence, and predictive modeling for real-time data orchestration.
  • Ability to translate business objectives into technical requirements and user stories (product requirements documents), and assist with development backlog management alongside engineering teams.
  • Project management skills using agile methodologies to coordinate cross-functional technical projects.
  • Understanding and practical application of global data privacy and compliance standards, including GDPR and CCPA, and their impact on data usage.

Responsibilities

  • Serve as a key point of contact for the marketing technology stack and partner with business intelligence and information technology teams to support operational insights.
  • Serve as the marketing privacy coordinator and support privacy compliance initiatives in partnership with legal and privacy teams.
  • Act as the marketing data steward to support data governance and operational transparency.
  • Support the operationalization of Customer 360 on a customer data platform and enable unified segmentation on unified profiles.
  • Assist in operationalizing data models and artificial intelligence by partnering with business intelligence, analytics, AdTech, and information technology teams.
  • Perform quantitative operational analysis and modeling across the marketing landscape and support optimization programs leveraging artificial intelligence.
  • Contribute to best practices for efficient and effective data operations.
  • Document and support the implementation of scalable operational processes, including service-level agreements and governance, to optimize workflow efficiency, productivity, and quality across digital operations.

Desired Qualifications

  • Proficiency in SQL and Python for advanced data analysis, modeling, and automated data quality audits.
  • Ability to lead at the intersection of business and technology, with a focus on marketing technology and distinguishing marketing ecosystem needs from traditional information technology infrastructure.
  • Success integrating and scaling technology solutions across marketing automation, customer relationship management, predictive analytics, and data enrichment.
  • Ability to develop cross-functional relationships and establish effective program management processes between Marketing and Information Technology.
  • Comfort with accountability and navigating ambiguity and competing priorities.

About the Company

Palo Alto Networks

Builds cybersecurity tools for organizations

Palo Alto Networks builds cybersecurity hardware and software for businesses and public institutions, protecting their networks, cloud workloads and digital identities. Its portfolio combines network firewalls with tools that detect attacks, investigate security alerts and manage access to sensitive systems. Security teams use these products across offices, data centers and cloud environments, with shared data and automated workflows connecting the company's platforms. It earns revenue from appliance sales and software licenses, plus subscriptions and support contracts that keep protections and services active over time. Palo Alto Networks began operations in 2005 and is headquartered in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2005

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