Sr. Technical Data and Operations Analyst

Palo Alto Networks

Actively hiring Posted today Verified listing
Santa Clara, CA Posted 1 day ago $145,000$235,500 / year

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $157k
This role $190k
$107k most similar roles pay here $249k

This role pays more than 77% of similar roles. Most pay $126,775–$187,150 — the shaded band above. At the midpoint, this role pays about $190k versus about $157k for comparable roles.

Based on 239 similar postings.

Employer

About Palo Alto Networks

Palo Alto Networks is a global cybersecurity company offering network security, cloud security, and endpoint protection solutions.

Palo Alto Networks currently has 31 open roles on FindRole.

Listed pay typically runs $155,000–$251,000 across 29 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR

The Senior Technical Data and Operations Analyst role within the digital marketing organization requires a strategic leader to oversee end-to-end marketing data flow and operationalize insights through AI agents and workflows in partnership with IT and BI. This position involves serving as a technical bridge between marketing and IT, focusing on integrating artificial intelligence for performance tracking and workflow optimization at unprecedented scale. Key responsibilities include acting as the data subject matter expert, privacy champion, and data steward, leveraging SQL and Python to audit data quality and troubleshoot issues while operationalizing Customer 360 on CDPs and enabling unified segmentation. The ideal candidate has extensive experience in MarTech, Marketing Operations, or Digital Marketing, with expertise in AI/ML, predictive modeling, and global data privacy standards, as well as strong program management skills using agile methodologies to drive complex technical projects.

What you'll do

  • Oversee end-to-end marketing data flow and integrate AI for operational insights.
  • Lead privacy compliance efforts in partnership with legal and privacy teams.
  • Audit data quality and troubleshoot data flows using SQL and Python.
  • Operationalize Customer 360 on CDP and enable unified segmentation.
  • Design and implement scalable operational processes to optimize workflow efficiency.
  • Perform quantitative analysis and modeling to execute optimization programs leveraging AI.
  • Serve as a thought leader in efficient and effective data operations practices.

What we're looking for

  • Extensive experience in MarTech and Digital Marketing roles with a focus on technical initiatives.
  • Expert knowledge of technical integrations across the MarTech stack including CDPs, CRMs, and data warehousing solutions.
  • Deep fluency in leveraging AI/ML for real-time data orchestration and predictive modeling.
  • Proven ability to translate complex business objectives into detailed technical requirements using agile methodologies.
  • Strong understanding and practical application of global data privacy standards such as GDPR and CCPA.
  • Experience driving the design and implementation of scalable data infrastructure for real-time decisioning.

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