Technical Data Operations Analyst

Palo Alto Networks

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$106,000–$170,500 / yr
Posted
30 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $148k
This role $138k
$98k most similar roles pay here $183k

This role pays less than 53% of similar roles. Most pay $121,350–$174,600 — the shaded band above. At the midpoint, this role pays about $138k versus about $148k for comparable roles.

Based on 240 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 34 open roles on FindRole.

Listed pay typically runs $159,000–$257,750 across 32 roles with salary data.

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View all roles at Palo Alto Networks

At a glance

TL;DR · Technical Data Operations Analyst

The Technical Data Operations Analyst sits within the digital marketing organization, serving as a critical bridge between marketing and IT to oversee end-to-end marketing data flow. This role involves operationalizing insights through AI agents, managing data governance, and coordinating privacy compliance initiatives like GDPR and CCPA. You will build scalable processes for tracking performance, manage Customer 360 on CDP platforms, and perform quantitative modeling across the marketing landscape. The position requires expertise in the MarTech stack, including Salesforce, Snowflake, BigQuery, LeanData, Demandbase, and Allocadia. Candidates must possess technical proficiency in SQL, Python, AI/ML, and Generative AI to automate data quality audits and orchestrate real-time data. By translating business objectives into technical requirements and managing development backlogs, you will ensure the technology foundation supports global growth through advanced marketing automation and predictive analytics.

What you'll do

  • Oversee the end-to-end marketing data flow and serve as the primary bridge between marketing and IT teams.
  • Partner with BI and IT to operationalize insights through AI agents and automated workflows.
  • Act as the marketing privacy coordinator to ensure compliance with global standards like GDPR and CCPA.
  • Manage marketing data governance and maintain transparency across the marketing technology stack.
  • Support the implementation of Customer 360 on CDP to enable unified segmentation on customer profiles.
  • Execute quantitative operational analysis and modeling to support optimization programs using AI.
  • Document and implement scalable operational processes, including SLAs and governance models, to improve workflow efficiency.
  • Translate business objectives into technical requirements and user stories for engineering team development backlogs.

What we're looking for

  • 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 MarTech stack integrations, including CDPs, CRMs (e.g., Salesforce), and data warehouses (e.g., Snowflake, BigQuery).
  • Hands-on experience with LeanData, Demandbase, and Allocadia platforms.
  • Technical proficiency in utilizing AI/ML, Generative AI, and predictive modeling for real-time data orchestration.
  • Demonstrated ability to translate business objectives into technical requirements and user stories (PRDs) and manage development backlogs.
  • Strong project management skills using agile methodologies to coordinate cross-functional technical projects.
  • Clear understanding and practical application of global data privacy and compliance standards like GDPR and CCPA.
  • Proficiency in utilizing SQL and Python for advanced data analysis, modeling, and automated data quality audits (preferred).
  • Ability to lead at the intersection of business and technology with a passion for marketing technology (preferred).
  • Demonstrated success integrating and scaling Marketing Automation, CRM, Predictive Analytics, and Data Enrichment solutions (preferred).
  • Strong cross-functional relationship development skills between Marketing and IT (preferred).

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