Lead Cyber Defense Data Analyst, ITC

Nike · Karnataka

  • Experience5–6 yrs
  • SalaryNot disclosed
  • Work modeunknown
  • Levelsenior
  • Posted18 Sept 2026

About Nike

Nike is hiring in Karnataka in consumer goods. This role looks for around 5+ years of experience.

Skills

  • Python
  • PySpark
  • Databricks
  • Microsoft Excel
  • pytest
  • Spark
  • Data pipelines
  • Data quality
  • Data lineage
  • Data auditability
  • Job orchestration
  • CI/CD
  • Dashboard development
  • Data visualization
  • Cyber incident management
  • Information security standards

The role

A cyber defense data analyst at a consumer goods company builds cyber incident analytics using PySpark pipelines, Databricks, and Python, then delivers data quality controls and analyst-facing dashboards for high-stakes investigations. Expertise in SIEM and SOAR supports incident response analysis and stakeholder decision-making.

Full job description

Who You’ll Work With

This role reports into the Cyber Defense team at Nike within Corporate Information Security. You will work with Privacy, Legal, Incident Response, Nike Cyber Defense Center teams, and leaders and stakeholders across the business.

Who We Are Looking For

We’re looking for a Lead Cyber Defense Incident Data Analyst in the Cyber Incident Response, Analysis and Management team. As the Incident Response team investigates the incident, Data Analysts jumps into action to understand the data impact. This role solves complex problems using highly technical solutions and playbooks, driving clarity through analysis and reporting.

The candidate needs to be a team player with strong analytics experience, curiosity, and communication skills. We are looking for an individual who is a problem solver, adept at making good decisions under pressure, comfortable with cross-functional and distributed teams, and flexible with changing priorities.

Bachelor’s degree in computer science or related field, or equivalent work experienceFive years of information technology experience with preferred three years in a cyber incident management or business continuity roleKnowledge of information security standards, principles, and practicesStrong project coordination skills including driving action across multiple stakeholdersExperience managing multiple complex workstreams simultaneouslyExpertise in MS Excel or similar tools to analyze data and extract meaningful insights and trends4+ years building production data pipelines, with substantial PySpark and Databricks experience (Unity Catalog, jobs, notebooks, volumes)Strong Python engineering: modular libraries, pytest, clear abstractions, and comfort debugging distributed Spark jobsAnalytical and curious — you dig into unfamiliar data, form hypotheses, validate them, and explain what you learnedComfortable working through ambiguity — incomplete specs, messy inputs, and evolving requirements do not paralyze you; you investigate, make reasoned decisions, and document uncertaintyExperience building outputs for non-technical audiences — dashboards, reports, or apps that business users can use without reading codeExperience with data quality, lineage, and auditability — grains, traceability keys, idempotent runs, and run logsComfort in time-bound, high-stakes environments where accuracy matters more than convenienceExperience with job orchestration (Databricks Jobs, CI/CD for data assets, failure triage and repair)Daily fluency with AI coding tools such as Cursor or GitHub Copilot — you use them to move faster but review, test, and own the outputProven track record of success in fast-moving organizations with complex technology applicationsPassion for Nike, for security, and a drive for continuous learningSIEM and SOAR experience a plusUnderstanding of Legal Privacy concepts and regulations worldwide a plusOne or more of the following professional certifications a plusCertified Information Security Professional (CISSP)Certified Business Continuity Professional (CBCP)Global Information Assurance Certifications (GIAC)

What You’ll Work On

If this is you, you’ll be working with the CIDA team and performing these key tasks:

Build and maintain PySpark pipelines and shared Python libraries for extraction, validation, entity resolution, and analyst-facing viewsNavigate ambiguous source data — investigate unfamiliar schemas, interpret unclear patterns, and make judgment calls when rules do not cover every caseInvestigate source data analytically — discover patterns, explain anomalies, and extract insights beyond raw field extractionBuild visualizations, dashboards, and in-app methodology guides that make results understandable to non-technical usersOperate production jobs on Databricks: deploy, monitor, triage failures, and optimize for speed without sacrificing correctnessEnforce data quality, traceability, and auditability — hard QC gates, versioned logic, run logs, and documented waiversUse AI coding tools (Cursor, GitHub Copilot) as part of your daily workflow while owning review, testing, and what ships