Senior Data Analyst, Field Analytics
Okta is hiring a Senior Data Analyst, Field Analytics in Bengaluru, India. Level rates it ; you can apply on Okta.
Level's read on this job
- Uses AI ●●○○ is how Level rates this data analyst role: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Claude, Gemini and Copilot.
- Level classifies it as a senior role.
- Level lists 388 other open roles at Okta.
AI in this role
Build GTM analytics dashboards and data sets while championing generative ai workflows for query generation.
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.
Senior Data Analyst - Field Analytics
As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the global field organization. We serve as the core engine for the analytics and strategic analysis that enable our leaders to make data-driven decisions that determine the trajectory of Okta’s growth.
You will be responsible for building high-impact technical assets, ranging from executive Tableau dashboards to standardized Snowflake datasets, while staying at the forefront of AI-driven analytics workflows. You will partner with US-based leadership and local team members to ensure our reporting framework is scalable, accurate, and deeply aligned with Okta’s global GTM strategy.
Job Duties & Responsibilities:
- Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization
- Data Set Engineering: Build and optimize production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis.
- Documentation & Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible.
- AI Implementation: Champion the use of Generative AI tools to accelerate the analytics lifecycle, including automating SQL query generation, streamlining data preparation, and enhancing report documentation.
- Global Collaboration: Work cross-functionally with Field Operations, Business Systems, and Data & Insights teams to capture requirements and deliver technical solutions that support our go-to-market initiatives
Required Skills & Qualifications:
- 5+ years of professional experience in Data Analytics or Business Intelligence, ideally within a global delivery model.
- 2+ years of mandatory experience in Tableau
- Technical Stack Expertise in SQL (Snowflake), BI Visualization tool (Tableau), and CRM data (Salesforce)
- Practical experience using Generative AI (e.g., Claude Code, GPT, Gemini, or GitHub Copilot) to improve technical productivity.
- A strong "documentation-first" mindset with the ability to create clear, concise technical and functional manuals.
- A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global team.
- Proven ability to translate complex data logic into clear, concise narratives.
Preferred Qualifications:
- Deep understanding of enterprise software sales processes, field/sales operations, and cross functional GTM mechanics.
- Proven ability to operate independently within a global model, taking complex requirements from US-based stakeholders, execute high-quality technical work during India business hours, and provide comprehensive handoffs that allow projects to progress 24/7 without real-time oversight.
- Proficiency with scripting (python) & data modeling (dbt)
#LI-Hybrid
#P24940
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
How we rate this
Senior Data Analyst, Field Analytics at Okta rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $111k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
- Walk me through how you've used Claude in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Business Intelligence, Data Governance, Generative AI, and Claude. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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