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Technical Data Operations Analyst

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Palo Alto Networks, Inc.
Full Time position
Listed on 2026-09-27
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 106000 - 170500 USD Yearly USD 106000.00 170500.00 YEAR
Job Description & How to Apply Below

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting‑edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values:
Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real‑time problem‑solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

We are seeking a Technical Data Operations Analyst responsible for overseeing the E2E marketing data flow and partnering with IT and BI to operationalize insights through AI agents and workflows. Firmly seated within the digital marketing organization, this role is explicitly differentiated from traditional IT functions; instead, you will serve as the critical bridge, partnering closely with IT for flawless technical execution.

Reporting to the Director of Marketing Data and Operations, this leader will drive digital acquisition capabilities, focusing on integrating artificial intelligence, enabling end‑to‑end performance tracking, and optimizing operational workflows for unprecedented scale and efficiency. The successful candidate will be a creative problem‑solver who thrives in a fast‑changing environment, acting as the primary operations contact to ensure our technology foundation actively supports aggressive global business growth.

Key Responsibilities
  • Data Knowledge Base:
    Serve as a key point of contact for the marketing technology stack—partnering with BI and IT to support operational insights.
  • Privacy Coordinator:
    Serve as the marketing privacy coordinator and support privacy compliance initiatives in partnership with legal and privacy.
  • Data Governance:
    Act as the marketing data steward to support data governance and operational transparency.
  • Customer 360:
    Support the operationalization of Customer 360 on CDP and enable unified segmentation on unified profiles.
  • AI Implementation:
    Assist in operationalizing data models and AI by partnering with BI, Analytics, AdTech, and IT.
  • Operational Analysis:
    Perform quantitative operational analysis and modeling across the marketing landscape and support the execution of optimization programs leveraging AI.
  • Process Efficiency:
    Contribute to best practices for efficient and effective data operations.
  • Process Documentation:
    Document and support the implementation of scalable operational processes (SLAs, governance) that optimize workflow efficiency, productivity, and quality across digital operations.
Qualifications
  • 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 that meets the demands of real‑time decisioning.
  • Strong working knowledge of technical integrations across the Mar Tech stack, including CDPs, CRMs (e.g., Salesforce), and internal data warehousing solutions (e.g., Snowflake, Big Query).
  • Hands…
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