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Cybersecurity Data Analyst Jobs in Indiana (NOW HIRING)

Data Analyst

Indianapolis, IN · On-site

$75 - $110/hr

Cybersecurity and risk management. Recognized for its innovation-led culture, RADcube operates ... Data Analyst Hybrid - Indianapolis, IN About the Role We are seeking a Data Analyst with 3-5 years ...

New

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now-protect and innovate with ...

GadellNet is seeking a highly skilled Cybersecurity Analyst with a strong passion for information security and data protection. The ideal candidate is a technically proficient problem-solver who ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now-protect and innovate with ...

Cyber Security Analyst Information Technology Department Position Summary: The Cyber Security ... Ability to use data to drive activity, productivity, and cost * Significant knowledge system ...

What You Will Do The Cybersecurity Analyst III at EXOS CYBER is the senior technical escalation ... data exfiltration including scoping and impact assessment, containment orchestration via ...

The Cybersecurity Analyst is responsible for proactively and iteratively discovering signs of ... Understanding of data privacy concerns and cyber security best practices. Ability to deal with ...

The Cybersecurity Analyst is responsible for proactively and iteratively discovering signs of ... data privacy concerns and cyber security best practices. • Ability to deal with ambiguity and ...

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Cybersecurity Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do cybersecurity data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for cybersecurity data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What is a cybersecurity data analyst?

Cybersecurity Data Analysts are professionals who use data analytics techniques to identify, assess, and mitigate security threats within an organization’s information systems. They analyze large volumes of security data to detect anomalies, investigate incidents, and inform cybersecurity strategies. Their work helps organizations protect sensitive information, maintain compliance, and respond effectively to cyber attacks. Cybersecurity Data Analysts often collaborate with IT and security teams to ensure robust defense mechanisms are in place.

What are the key skills and qualifications needed to thrive as a cybersecurity data analyst?

To thrive as a Cybersecurity Data Analyst, you need a strong background in data analysis, cybersecurity principles, and a relevant degree such as computer science, information security, or data analytics. Familiarity with SIEM tools (like Splunk or QRadar), programming languages (Python, SQL), and industry certifications (such as CompTIA Security+ or CISSP) is highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate across teams. These competencies are crucial for identifying threats, mitigating risks, and ensuring an organization’s digital security.

How does a cybersecurity data analyst typically collaborate with other teams within an organization?

A Cybersecurity Data Analyst often works closely with IT, security operations, and risk management teams to detect, investigate, and respond to security threats. They regularly share insights from data analysis to help refine security policies, support incident response, and inform decision-making processes. Effective communication and collaboration are essential, as analysts must translate complex data findings into actionable recommendations for both technical and non-technical stakeholders. This cross-functional teamwork enhances the organization’s overall security posture.

What is the difference between Cybersecurity Data Analyst vs Cybersecurity Analyst?

AspectCybersecurity Data AnalystCybersecurity Analyst
CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentData-focused, analyzing security data and logsSecurity monitoring, incident response
Employer & IndustryTech firms, finance, healthcareIT departments, security firms
Search & Comparison IntentUnderstanding data analysis roles in securitySecurity operations and threat mitigation

While both roles require similar certifications and often work in related environments, the Cybersecurity Data Analyst primarily focuses on analyzing security data to identify trends and vulnerabilities. In contrast, the Cybersecurity Analyst handles real-time security monitoring and incident response. Both roles are vital in protecting organizations but differ in their core responsibilities and daily tasks.

What does a cybersecurity data analyst do?

A cybersecurity data analyst examines security data to identify vulnerabilities, detect threats, and monitor network activity. They use tools like SIEM systems and perform data analysis to support security decisions, often requiring knowledge of cybersecurity principles and data analysis skills. Their work helps organizations prevent and respond to cyber attacks.

What are popular job titles related to Cybersecurity Data Analyst jobs in Indiana?

For Cybersecurity Data Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Cybersecurity Data Analyst jobs in Indiana look for?

The top searched job categories for Cybersecurity Data Analyst jobs in Indiana are:

What cities in Indiana are hiring for Cybersecurity Data Analyst jobs?

Cities in Indiana with the most Cybersecurity Data Analyst job openings:

Infographic showing various Cybersecurity Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Data Analyst

RADcube

Indianapolis, IN • On-site

$75 - $110/hr

Other

Posted 3 days ago

New


Job description

Indianapolis, United States | Posted on 08/07/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:

Digital Transformation and strategy consulting.

Custom Software Development tailored to specific business needs.

Advanced Data Analytics and AI-driven platforms.

Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.

Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

Job DescriptionData Analyst

Hybrid – Indianapolis, IN

About the Role

We are seeking a Data Analyst with 3–5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role focuses on turning large, complex datasets into clear, actionable insight for business stakeholders. You will work closely with data engineering teams to access and shape data from modern cloud platforms, and with business groups to understand their questions and translate them into reporting, dashboards, and analysis.

Key Responsibilities
  • Analyze large datasets housed in Databricks and AWS data platforms to answer business questions and support decision-making
  • Build and maintain reports, dashboards, and visualizations for pharma business stakeholders
  • Partner directly with business groups to gather requirements, clarify data needs, and translate them into analysis deliverables
  • Write and optimize SQL queries against large-scale (Big Data) datasets, including data processed through Spark pipelines
  • Perform data validation and quality checks to ensure accuracy and consistency of reporting outputs
  • Present findings and recommendations to both technical and non-technical audiences
  • Apply pharma domain knowledge to contextualize analysis and ensure relevance to business needs
  • Collaborate with data engineers to flag data gaps or pipeline issues affecting analysis
Requirements

Required Qualifications

  • 3–5 years of data analysis / business intelligence experience specifically within the pharma industry
  • Working knowledge of Databricks for querying and analyzing data
  • Familiarity with AWS data services (e.g., S3, Redshift, Glue) in an analytics context
  • Comfortable working with Big Data and datasets processed through Apache Spark
  • Strong SQL skills; experience with Python for data analysis is a plus
  • Demonstrated ability to understand pharma business needs and speak to pharma business groups
  • Strong communication skills, with demonstrated ability to present data to business stakeholders
  • Bachelor's degree in a quantitative field (Statistics, Data Science, Business Analytics, or related), or equivalent practical experience
Preferred Qualifications

Preferred Qualifications

  • Experience with BI/visualization tools
  • Exposure to Delta Lake, Snowflake, or similar modern data platforms
  • Prior experience supporting pharma commercial, clinical, or R&D reporting functions
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