Senior Data Analyst, Marketing Analytics
Okta
San Francisco, CA, US
Onsite
2026-06-25
Announced salary
$127k–$175k
Low
$113K
Median
$149K
High
$196K
Market in San Francisco · BLS OEWS 2025
Job description
**Secure Every Identity, from AI to Human**
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real\-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career\-defining work. We're all in on this mission. If you are too, let's talk.
**The Marketing Data Operations Team**
Okta's Marketing Data Operations team is in the engine room of our growth strategy. We serve as the critical bridge between technical data infrastructure and marketing execution. We partner closely with the Marketing and Data \& Insights teams to deliver high\-fidelity data across our web, automation, and CRM platforms, ensuring every marketing dollar is backed by actionable intelligence.
**The Senior Data Analyst Opportunity**
We are looking for a **Senior Data Analyst** who is a fully qualified professional with a passion for assessing complex data challenges and resolving them through creative, data\-driven solutions. You will be successful if you are an expert in Marketing Analytics—meaning you understand web data deeply and can connect it to key business objects in Salesforce and Marketo. You are someone who thrives on "connecting the dots" between technical SQL logic and business strategy, and you are comfortable navigating the ambiguity of a fast\-paced marketing environment.
**What you'll be doing**
* **Serve as the SME for Marketing Analytics:** Take ownership of web data analysis, investigating performance across web platforms, marketing automation, and CRM to steer marketing strategy.
* **Bridge the Technical Gap:** Act as a primary partner to the Marketing and Data \& Insights teams, translating complex SQL logic into business jargon and vice versa to ensure stakeholders of
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