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Cyber Data Analyst Jobs (NOW HIRING)

Lockton, Inc.

AVP, Cyber Analytics

Overland Park, KS · On-site

The AVP - Cyber Analytics will lead Lockton's cyber analytics strategy, delivering advanced ... This role combines deep cyber expertise, data-driven decision-making, and AI-first mindset, and ...

Hunter Strategy

Cyber Data Scientist

$130K - $140K/yr

Cyber Data Scientist Salary Range: $130,000 - $140,000 annually Overview This role is responsible for developing and deploying analytical models on data and processes. They collaborate with digital ...

Amicis Global

Data Analyst

Jersey City, NJ · On-site

This is part of the overall cyber data initiative focusing on building the security and risk data ... analysts within the IT and CDAO departments as well as other stakeholders aligned with the ...

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Cyber Data Analyst information

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$44.5K

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$151K

How much do cyber data analyst jobs pay per year?

As of Jun 30, 2026, the average yearly pay for cyber data analyst in the United States is $107,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $126,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Cyber Data Analyst, and why are they important?

To thrive as a Cyber Data Analyst, you need strong analytical skills, a solid understanding of cybersecurity principles, and a degree in computer science, information security, or a related field. Familiarity with tools such as SIEM platforms (e.g., Splunk), data analytics software, and certifications like CompTIA Security+ or Certified Cybersecurity Analyst (CySA+) are typically required. Attention to detail, problem-solving abilities, and effective communication help analysts detect threats and present findings clearly to stakeholders. These skills are crucial for identifying vulnerabilities, mitigating cyber risks, and ensuring the organization's digital assets remain secure.

What is a Cyber Data Analyst?

A Cyber Data Analyst is a professional who analyzes data to identify and mitigate cybersecurity threats within an organization. They use statistical and analytical tools to detect unusual patterns, investigate security incidents, and help improve an organization's security posture. Their work often involves monitoring network traffic, analyzing logs, and collaborating with IT and cybersecurity teams to ensure sensitive data remains protected. This role is essential in preventing cyber attacks and responding effectively when breaches occur.

How does a Cyber Data Analyst typically collaborate with other departments within an organization?

Cyber Data Analysts frequently work cross-functionally, partnering with IT security teams, network engineers, and management to identify and address potential security threats. They analyze large data sets for unusual patterns, then communicate findings to both technical and non-technical stakeholders. This role often involves translating complex data insights into actionable recommendations, contributing to overall cybersecurity strategies, and sometimes participating in incident response efforts. Effective collaboration and clear communication are essential for ensuring timely and accurate threat mitigation.

What is the difference between Cyber Data Analyst vs Cyber Security Analyst?

AspectCyber Data AnalystCyber Security Analyst
Required CertificationsCompTIA Security+, Certified Data Professional (CDP)CompTIA Security+, CISSP
Work EnvironmentData analysis teams, cybersecurity departmentsSecurity operations centers, incident response teams
Employer & Industry UsageTech firms, finance, healthcareGovernment, finance, corporate security
Common Search & ComparisonYesYes

The main difference is that Cyber Data Analysts focus on analyzing and interpreting cybersecurity data to identify trends and vulnerabilities, while Cyber Security Analysts primarily focus on protecting systems from threats and responding to security incidents. Both roles require similar certifications and often work within the same industries, but their core responsibilities differ in data analysis versus security enforcement.

More about Cyber Data Analyst jobs
What states have the most Cyber Data Analyst jobs? States with the most job openings for Cyber Data Analyst jobs include:
What job categories do people searching Cyber Data Analyst jobs look for? The top searched job categories for Cyber Data Analyst jobs are:
Cyber Data Analyst jobs near you
Infographic showing various Cyber Data Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,522 per year, or $51.7 per hour.
Cyber Specialist - Cyber Data Services

Cyber Specialist - Cyber Data Services

DivIHN Integration Inc.

Little Canada, MN • On-site

Other

Posted 8 days ago

Key responsibilities

  • Serve as the primary point of contact for internal customers onboarding cyber data into the Cyber Data Lake and guide teams on platform capabilities and onboarding requirements.

  • Provide ongoing enablement and support to internal product, engineering, detection engineering, and security teams for queries, reports, analytics, dashboards, and interpretation of cyber events.

  • Develop and maintain onboarding and reporting standards, best practices, documentation, and continuously monitor cyber data feeds for ingestion health, latency, and data quality issues.

Job description

DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

Visit us at to learn more and view our open positions.

 
Please apply or call one of us to learn more

For further inquiries about this opportunity, please contact our Talent Specialist,  Ragu at .

Title: Cyber Specialist – Cyber Data Services
Duration: 6 Months with Possible extension/convert for strong performance; not guaranteed.
Location: Onsite at St. Paul, MN
 
Travel: No regular travel required.

Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.

Job Description:
We are seeking a Cyber Specialist to enable and support internal product teams.  This is an internal customer-facing senior role that blends cybersecurity expertise, data-platform enablement, and hands-on onboarding execution.
 
In this role, you will act as a trusted advisor to internal product, information technology, engineering, and security stakeholders, helping them successfully onboard, access, and operationalize cyber data for security analytics, detection, compliance, operational monitoring, and product security use cases. You will work across enterprise, cloud, IoT, and regulated environments, ensuring cyber data is usable, governed, and aligned to business and security objectives.
 
This role focuses on cyber data readiness, adoption, and use, and partners closely with detection engineering, event detection, and incident response teams by enabling high-quality, accessible, and well-governed data.  Operational detection and response activities remain owned by their respective teams.
 
Key Responsibilities

Cyber Data Lake Onboarding & Enablement
  • Serve as the primary point of contact for internal customers onboarding cyber data into the Cyber Data Lake
  • Guide teams on platform capabilities, supported use cases, locales, data residency requirements, connectors, and onboarding prerequisites
  • Maintain an inventory of available and in-use connectors for the Cyber Data Lake
  • Support technical implementation for batch and streaming ingestion
  • Partner with platform and data engineering teams to validate pipelines, schemas, and data quality
  • Ensure structured, reusable, and well-governed cyber data onboarded for analytics, detection, and assurance
Internal Customer Support & Data Consumption
  • Provide ongoing enablement and support to product, engineering, detection engineering, and security teams
  • Assist with queries, reports, analytics, and dashboards using cyber data
  • Help internal customers interpret cyber events and telemetry for monitoring, detection tuning, and assurance
  • Act as a contact point for onboarding, access, or data-usage issues
  • Help teams mature from raw log ingestion to repeatable, value-driven analytics
Support for Detection Engineering & Incident Response Teams
  • Enable detection engineering teams with high-quality, consistently structured data suitable for detection development and tuning
  • Provide guidance on logging coverage, schemas, and data availability
  • Ensure required telemetry is accessible and retained to support investigation and analysis needs
  • Serve as a liaison between platform, detection, and response teams to address data gaps
  • Partner with incident response teams without performing IR operational activities
Product Security, Compliance & Assurance
  • Ensure cyber telemetry supports monitoring, assurance, audit readiness, and compliance reporting
  • Advise on cybersecurity data requirements for regulated environments, including applications and platforms supporting medical devices
  • Support product security and IoT / connected product telemetry
  • Maintain and support RBAC and least-privilege access in the cyber data lake
  • Partner with legal, privacy, and compliance teams on regulatory alignment
Governance, Standards & Continuous Improvement
  • Develop and maintain onboarding and reporting standards, best practices, and documentation
  • Apply project or program coordination practices across onboarding efforts
  • Identify and address onboarding anti-patterns such as low-value ingestion or schema drift
  • Continuously monitor cyber data feeds for ingestion health, latency, and data quality issues
  • Proactively flag intake anomalies that may impact analytics, detection, or compliance use cases
  • Contribute to onboarding metrics, usage insights, and improvement initiatives
  • Represent cyber data platform perspectives in architecture and governance forums
Required Qualifications
  • 4+ years of experience in security analytics or security data platforms
  • Experience in a technical, internal customer-facing role
  • Strong understanding of cybersecurity logging, events, and telemetry
  • Familiarity with Security Information and Event Management (SIEM) and data pipeline technologies and processes
  • Hands-on experience with security data lakes, SIEMs, or large-scale telemetry platforms
  • Experience with analytics, reporting, or dashboarding on security data
  • Understanding of RBAC in shared data environments
  • Experience working within global, regulated environments and supporting compliance requirements
  • Knowledge of product security including IoT or connected products
  • Strong written and verbal communication skills
  • Bachelor’s degree in Cybersecurity, Computer Science, Engineering, or equivalent experience.
Top 3 REQUIRED Skills

Required Skill - Tool / Technology /System - Depth -  What the candidate  must be able to do
  • Cyber data/telemetry - Databricks, Splunk - Intermediate- Advanced -Manage ingestion, integrity, and access to cyber data.
  • Data lake/platform experience - Databricks(preferred), Snowflake - Intermediate- Advanced -  Support data ingestion, pipelines, and ensure quality.
  • Stakeholder enablement - NA - Intermediate- Advanced -Work with internal teams, onboard data, communicate effectively.
 
Preferred Qualifications
  • Experience with modern data-lake or lakehouse platforms (e.g., Databricks, Snowflake, BigQuery)
  • Experience onboarding cyber or security data at scale
  • Experience supporting reporting and dashboarding from data-lake platforms
  • Program or project management experience
  • Experience working in global or multi-regional environments
  • Experience with the cyber regulatory landscape for medical devices
  • Relevant certifications such as CISSP, CCSP, cloud security certifications (AWS, Azure, or Google Cloud Platform), or equivalent security and data platform credentials
Top 3 PREFERRED Skills
 
Preferred Skill  - Tool / Technology / System -  Value to Role - Willing to Flex
  • Modern data platforms - Databricks, Snowflake - Strong advantage - Yes
  • Detection engineering exposure -Splunk / SOC tools  -Strong advantage - Nice-to-have - Yes 
  • Project coordination - NA - Strong advantage - Yes​​​
Additional Details
  • Education: Bachelor’s preferred; equivalent experience accepted.
  • Industry: Medical/pharma not required; regulated environment helpful.
  • Systems: Databricks data lake, Splunk, analytics tools.
  • Personality: Collaborative, strong communicator, detail-oriented, multitasker.
Interview Process
  • Format: Teams video.
  • Rounds: Multiple.
  • Interviewers: Product cybersecurity + SOC.
  • Start date: Target July.
  • Scheduling: Limited availability around July 4 week.
About us:
DivIHN, the ''IT Asset Performance Services'' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.

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