Sr. Technical Data and Operations Analyst

Palo Alto Networks

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $145,000–$235,500 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k

This role $190k

$114k most similar roles pay here $249k

This role pays more than 67% of similar roles. Most pay $126,787–$197,287 — the shaded band above. At the midpoint, this role pays about $190k versus about $162k 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 30 open roles on FindRole.

Listed pay typically runs $154,000–$249,500 across 27 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR · Sr. Technical Data and Operations Analyst

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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. This position involves partnering with IT and BI teams to ensure flawless technical execution while serving as the primary technical architect for aggressive global business growth. Day-to-day responsibilities include acting as a data subject matter expert, driving privacy compliance, auditing data quality, and optimizing operational processes using SQL and Python. The ideal candidate will have extensive experience in MarTech, Marketing Operations, or Digital Marketing, with expertise in AI/ML, predictive modeling, and real-time data orchestration across platforms like CDPs, CRMs, and internal data warehousing solutions such as Snowflake and BigQuery.

Skills

SQL Python CDP CRM Snowflake BigQuery AI ML Generative AI Predictive Modeling Agile Methodologies GDPR CCPA CI/CD

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 scalable operational processes to optimize global digital operations 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 Marketing Operations with a track record of leading 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 (GDPR, CCPA).
Experience operationalizing Customer 360 on CDPs and enabling unified segmentation.