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Splunk Cybersecurity Defense Analyst Jobs in Michigan

... intersection of cybersecurity, data, and artificial intelligence, Deloitte's Cyber Defense ... Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks while advancing AI and analytics ...

... intersection of cybersecurity, data, and artificial intelligence, Deloitte's Cyber Defense ... Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks while advancing AI and analytics ...

Cyber Security Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Skilled at teaching security analysis, threat modeling, and defensive strategy implementation ... Familiar with cybersecurity curricula and certification pathways including CompTIA Security+ and ...

Cyber Security Tutor

Detroit, MI · Remote

$18 - $40/hr

Skilled at teaching security analysis, threat modeling, and defensive strategy implementation ... Familiar with cybersecurity curricula and certification pathways including CompTIA Security+ and ...

Cyber Security Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Skilled at teaching security analysis, threat modeling, and defensive strategy implementation ... Familiar with cybersecurity curricula and certification pathways including CompTIA Security+ and ...

As a Senior Consultant - Cyber Defense and Resilience, you will help deliver security engineering ... Collaborating with security operations center analysts, threat hunters, and client stakeholders to ...

... Analyst, Global Information Assurance Certification Certified Incident Handler, Splunk, or cloud ... As a Consultant - Cyber Defense and Resilience, you will support the design and deployment of ...

... Analyst, Global Information Assurance Certification Certified Incident Handler, Splunk, or cloud ... As a Consultant - Cyber Defense and Resilience, you will support the design and deployment of ...

Vice President of Cybersecurity

Detroit, MI · Hybrid

$148K - $186K/yr

Champion zero-trust, secure-by-design, and defense-in-depth principles * Lead executive-level incident response, cyber crisis management, and post-incident analysis * Ensure cybersecurity is embedded ...

Lead SOC Analyst

Grand Rapids, MI · On-site

$90 - $120/hr

This role reports to the Manager of Cyber Defense. The position requires on‑site, full‑time ... Experience with Splunk, Microsoft Sentinel, Defender XDR, and/or similar platforms. * Experience ...

The Threat Detection Analyst Expert works closely with Incident Response, Cybersecurity Operations ... Professional experience with Palo Alto Cortex XSIAM, Microsoft Sentinel, Splunk, Microsoft Defender ...

This role reports to the Manager of Cyber Defense. Location: this role must work on-site, full-time ... Experience with Splunk, Microsoft Sentinel, Defender XDR, and/or similar platforms. * Experience ...

This role reports to the Manager of Cyber Defense. Location: this role must work on-site, full-time ... Experience with Splunk, Microsoft Sentinel, Defender XDR, and/or similar platforms. * Experience ...

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Showing results 1-20

Splunk Cybersecurity Defense Analyst information

How does a Splunk Cybersecurity Defense Analyst typically collaborate with other IT and security teams?

A Splunk Cybersecurity Defense Analyst frequently works alongside network administrators, incident response teams, and other security professionals to detect, investigate, and remediate threats. Collaboration often involves sharing threat intelligence, creating automated alerts, and developing dashboards to provide visibility into security events across the organization. Analysts also participate in regular meetings to coordinate response strategies, review incident post-mortems, and ensure that Splunk configurations align with evolving security requirements. This cross-functional teamwork is essential for maintaining an effective and proactive cybersecurity posture.

What is a Splunk Cybersecurity Defense Analyst?

Splunk Cybersecurity Defense Analysts are professionals who use the Splunk platform to monitor, analyze, and defend an organization’s digital infrastructure against cyber threats. They collect and interpret security data, investigate incidents, and create alerts and dashboards to detect suspicious activity in real-time. Their work helps organizations respond quickly to threats, ensuring the safety and integrity of sensitive information and systems. These analysts often collaborate with IT and security teams to develop best practices for threat detection and response.

What are the key skills and qualifications needed to thrive as a Splunk Cybersecurity Defense Analyst, and why are they important?

To thrive as a Splunk Cybersecurity Defense Analyst, you need a solid understanding of cybersecurity principles, threat analysis, and incident response, typically supported by a degree in information security or related certifications like CompTIA Security+ or GIAC. Proficiency with Splunk Enterprise Security, SIEM platforms, and scripting languages such as Python or PowerShell is essential. Strong analytical thinking, problem-solving abilities, and effective communication are important soft skills for collaborating with teams and responding to security incidents. These skills and qualities are critical for quickly identifying, investigating, and mitigating cyber threats to protect organizational assets.

What is the difference between Splunk Cybersecurity Defense Analyst vs Security Operations Center (SOC) Analyst?

AspectSplunk Cybersecurity Defense AnalystSecurity Operations Center (SOC) Analyst
CertificationsSplunk certifications, CompTIA Security+CompTIA Security+, GIAC certifications
Work EnvironmentPrimarily uses Splunk platform for data analysisMonitors security alerts across various tools in a SOC
Industry UsageFinancial, healthcare, tech sectors leveraging SplunkBroadly in all sectors with security teams
Job FocusAnalyzing security data with Splunk, threat detectionMonitoring, incident response, alert management

While both roles focus on cybersecurity, the Splunk Cybersecurity Defense Analyst specializes in using Splunk for data analysis and threat detection, whereas the SOC Analyst performs broader security monitoring and incident response across multiple tools. The roles often overlap but differ in platform focus and scope of responsibilities.

What are popular job titles related to Splunk Cybersecurity Defense Analyst jobs in Michigan? For Splunk Cybersecurity Defense Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Splunk Cybersecurity Defense Analyst jobs in Michigan look for? The top searched job categories for Splunk Cybersecurity Defense Analyst jobs in Michigan are:
What cities in Michigan are hiring for Splunk Cybersecurity Defense Analyst jobs? Cities in Michigan with the most Splunk Cybersecurity Defense Analyst job openings:
Infographic showing various Splunk Cybersecurity Defense Analyst job openings in Michigan as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Cyber - SecOps - Consultant

Deloitte

Detroit, MI

Full-time

Posted 12 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

If you're looking for an opportunity to work at the intersection of cybersecurity, data, and artificial intelligence, Deloitte's Cyber Defense & Resilience team offers the scale, complexity, and growth environment to build your career. In this role, you will support organizations as they modernize security operations through advanced analytics, cyber data engineering, and AI-enabled capabilities. You will work with leading technologies and help clients strengthen cyber defense while enabling innovation across the enterprise.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Cyber SecOps Consultant on the Cyber Defense & Resilience team, you will be responsible for...

  • Supporting the design and modernization of cyber data and analytics programs that improve organizational intelligence and enable scalable delivery models
  • Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response
  • Working with technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks to support cyber data platforms and operational outcomes
  • Assisting with the maintenance, enhancement, governance, and administration of data platforms and applications using standardized, automated, and AI-enabled DataOps capabilities
  • Contributing to AI and analytics initiatives by helping clients experiment, operationalize, and scale solutions using cyber and information technology telemetry data

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, advanced cyber data engineering, and the use of artificial intelligence and machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI, and machine learning to address cyber-specific challenges.

Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a-service delivery models, and strengthen day-to-day security operations. The team also helps clients harness technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks while advancing AI and analytics capabilities through scalable assets, curated datasets, and operational experience.

Qualifications

Required:

  • 2+ years of analytics consulting or industry experience
  • 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone or Elastic, and development frameworks such as LangChain or CrewAI
  • 2+ years of experience in statistical analysis, machine learning, and data mining
  • 2+ years of experience using statistical computer languages such as Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, perform exploratory analysis, generate features, and support data science workflows
  • 2+ years of experience using cloud-based cybersecurity platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure
  • 1+ years of experience with security operations center threat hunting and incident response
  • Experience supporting at least one full lifecycle analytics engagement across strategy, design, and implementation
  • Bachelor's degree in Engineering, Mathematics, or Statistics, or 4 years of equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience architecting, designing, developing, and deploying enterprise data science solutions that include natural language processing (NLP), chatbots, virtual assistants, computer vision, cognitive services, and big data tools used to manage large datasets
  • Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration
  • Experience parsing and normalizing cybersecurity or information technology telemetry datasets
  • Experience using Python machine learning and deep learning frameworks and libraries, including PyTorch, Keras, TensorFlow, scikit-learn, NumPy, and SciPy
  • Experience designing and implementing Apache open-source frameworks, including Kafka, Storm, and Spark, to support end-to-end data management lifecycle activities
  • Experience managing multiple concurrent task assignments and developing presentation materials using Microsoft Visio and Microsoft PowerPoint

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 - $162,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

If you're looking for an opportunity to work at the intersection of cybersecurity, data, and artificial intelligence, Deloitte's Cyber Defense & Resilience team offers the scale, complexity, and growth environment to build your career. In this role, you will support organizations as they modernize security operations through advanced analytics, cyber data engineering, and AI-enabled capabilities. You will work with leading technologies and help clients strengthen cyber defense while enabling innovation across the enterprise.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Cyber SecOps Consultant on the Cyber Defense & Resilience team, you will be responsible for...

  • Supporting the design and modernization of cyber data and analytics programs that improve organizational intelligence and enable scalable delivery models
  • Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response
  • Working with technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks to support cyber data platforms and operational outcomes
  • Assisting with the maintenance, enhancement, governance, and administration of data platforms and applications using standardized, automated, and AI-enabled DataOps capabilities
  • Contributing to AI and analytics initiatives by helping clients experiment, operationalize, and scale solutions using cyber and information technology telemetry data

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, advanced cyber data engineering, and the use of artificial intelligence and machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI, and machine learning to address cyber-specific challenges.

Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a-service delivery models, and strengthen day-to-day security operations. The team also helps clients harness technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk, CrowdStrike, and Palo Alto Networks while advancing AI and analytics capabilities through scalable assets, curated datasets, and operational experience.

Qualifications

Required:

  • 2+ years of analytics consulting or industry experience
  • 2+ years of experience with artificial intelligence development tools, including vector databases such as Pinecone or Elastic, and development frameworks such as LangChain or CrewAI
  • 2+ years of experience in statistical analysis, machine learning, and data mining
  • 2+ years of experience using statistical computer languages such as Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, perform exploratory analysis, generate features, and support data science workflows
  • 2+ years of experience using cloud-based cybersecurity platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure
  • 1+ years of experience with security operations center threat hunting and incident response
  • Experience supporting at least one full lifecycle analytics engagement across strategy, design, and implementation
  • Bachelor's degree in Engineering, Mathematics, or Statistics, or 4 years of equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience architecting, designing, developing, and deploying enterprise data science solutions that include natural language processing (NLP), chatbots, virtual assistants, computer vision, cognitive services, and big data tools used to manage large datasets
  • Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration
  • Experience parsing and normalizing cybersecurity or information technology telemetry datasets
  • Experience using Python machine learning and deep learning frameworks and libraries, including PyTorch, Keras, TensorFlow, scikit-learn, NumPy, and SciPy
  • Experience designing and implementing Apache open-source frameworks, including Kafka, Storm, and Spark, to support end-to-end data management lifecycle activities
  • Experience managing multiple concurrent task assignments and developing presentation materials using Microsoft Visio and Microsoft PowerPoint

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 - $162,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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