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Splunk Data Analyst Jobs (NOW HIRING)

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

The Data Analyst Engineer I will provide critical support to Navy operations by developing ... This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ...

Splunk Engineer

Laurel, MD · On-site

$225K - $235K/yr

Work closely with the Data Analytics team to provide support to the Tools and Infrastructure teams Create and maintain Splunk dashboards Write Splunk Search Processing Language (SPL) queries Required ...

... analytical mind with creative problem-solving skills to use data to drive success. The ideal ... R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with ...

The ideal candidate approaches analysis as a path to strategic thinking that culminates in ... Database (SQL, MySQL, NoSQL, Splunk, etc.) * Experience with data visualization and/or an eye for ...

Senior Data Analyst

VA · On-site

$86K - $109K/yr

Position Overview The client are recruiting for a Senior Data Analyst who will support the critical ... Experience with Tableau, Splunk * Languages: SQL, R, Python, Java * Active TS/SCI clearance with ...

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

Position Overview The client are recruiting for a Senior Data Analyst who will support the critical ... Experience with Tableau, Splunk * Languages: SQL, R, Python, Java * Active TS/SCI clearance with ...

Data Analyst

Arlington, VA · Hybrid

$100K - $124K/yr

Experience working with Splunk, Microsoft Defender, Palo Alto Networks, or similar cybersecurity ... data environments. * Exposure to anomaly detection, trend analysis, statistical analysis, or ...

Experience with Splunk for data indexing and analysis is a significant plus. Salary Range: $130,000 - $190,000 The AV pay range for this job level is a general guideline only and not a guarantee of ...

Data Analyst

Annapolis, MD · On-site

$130K - $190K/yr

Experience with Splunk for data indexing and analysis is a significant plus. Salary Range: $130,000 - $190,000 The AV pay range for this job level is a general guideline only and not a guarantee of ...

Support integration of new data sources into Splunk environments * Assist in validating data and ... Strong analytical and problem-solving skills * Excellent communication and stakeholder engagement ...

Experience Creating Dashboards in Splunk Basic Requirements: * 2-4 years of experience with data analysis, logging solutions, system and network monitoring, and technical consulting * Ability to ...

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Splunk Data Analyst information

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$34K

$82.6K

$136K

How much do splunk data analyst jobs pay per year?

As of Jun 19, 2026, the average yearly pay for splunk data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How do Splunk Data Analysts typically collaborate with IT and business teams to deliver actionable insights?

Splunk Data Analysts work closely with IT teams to understand data sources and ensure proper data ingestion into Splunk, while also partnering with business stakeholders to identify key metrics and reporting needs. They often facilitate regular meetings to discuss data trends, build dashboards tailored to various departments, and translate technical findings into actionable business recommendations. This cross-functional collaboration helps ensure that insights generated from Splunk are aligned with organizational goals and lead to informed decision-making.

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

To thrive as a Splunk Data Analyst, you need a solid background in data analysis, log management, and querying languages, typically supported by a degree in computer science or a related field. Proficiency with Splunk Enterprise, SPL (Search Processing Language), and possibly certifications like Splunk Core Certified Power User are highly valued. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These skills ensure accurate data analysis, effective troubleshooting, and informed decision-making within organizations.

How much do Splunk analysts make?

Splunk Data Analysts typically earn a median annual salary ranging from $70,000 to $110,000, depending on experience, location, and certifications. Entry-level roles may start lower, while experienced analysts with advanced skills and certifications can earn higher salaries, especially in larger organizations or tech hubs.

What is a Splunk Data Analyst?

A Splunk Data Analyst is a professional who uses Splunk software to collect, analyze, and interpret machine-generated data from various sources within an organization. They create dashboards, generate reports, and provide actionable insights to improve business operations, security, and IT performance. Splunk Data Analysts often work with large datasets to identify patterns, trends, and anomalies that help organizations make data-driven decisions.

Is Splunk in high demand?

Splunk Data Analysts are in high demand due to the increasing need for cybersecurity, IT operations, and data analytics. Organizations seek professionals skilled in data visualization, log analysis, and using Splunk software to improve security and operational efficiency.

What does a Splunk analyst do?

A Splunk Data Analyst is responsible for analyzing large volumes of machine-generated data using Splunk software to identify patterns, troubleshoot issues, and generate insights. They often create dashboards, write queries in SPL (Search Processing Language), and collaborate with IT and security teams to improve system performance and security. Strong analytical skills and knowledge of data visualization tools are essential for this role.

What is the salary of data analyst in Splunk?

The salary of a Splunk Data Analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and certifications. Entry-level roles may start lower, while experienced analysts with advanced skills in data visualization and Splunk tools can earn higher salaries.
More about Splunk Data Analyst jobs
What job categories do people searching Splunk Data Analyst jobs look for? The top searched job categories for Splunk Data Analyst jobs are:
Infographic showing various Splunk Data Analyst job openings in the United States as of June 2026, with employment types broken down into 6% Locum Tenens, 41% As Needed, 29% Full Time, and 24% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Systems Engineer/Senior Data Engineer - Splunk, ServiceNow & AppDynamics

KDA Consulting Inc

Herndon, VA • On-site

$107K - $147K/yr

Full-time

Posted 14 days ago


Job description

***Security Clearance: Must possess an active TS/SCI with Full Scope Polygraph***
KDA is seeking a highly skilled and experienced Systems Engineer/Senior Data Engineer with a strong background in designing, implementing, and optimizing data pipelines and solutions for critical security and operational platforms, specifically Splunk, ServiceNow, and AppDynamics. The ideal candidate will be a proactive, problem-solving individual with a proven track record of managing complex data ingestion, normalization, and correlation processes within highly visible, operationally driven environments. This role requires an individual who thrives in a collaborative setting, possesses excellent communication skills, and is dedicated to continuous improvement and innovation.
Key Responsibilities:
  • Splunk Data Engineering:
    • Design, engineer, and maintain robust Splunk infrastructures, including clustered environments, for large-scale data ingestion, correlation, and reporting.
    • Automate complex data ingestion methods (e.g., S3, syslog, JSON, APIs) from diverse sources across multiple enclaves.
    • Develop and implement methods for data tagging and cataloging to ensure compliance with evolving security standards and facilitate efficient data discovery.
    • Optimize data ingest performance and efficiency across various network environments. Familiar with Technical Add-ons.
    • Parse and normalize non-standard data sets to enable comprehensive analysis and correlation within Splunk.
    • Develop and refine Splunk queries, dashboards, and reports to visualize security events, infrastructure health, and operational metrics.
    • Collaborate with IT operations and cyber security teams to enrich data sets, ascertain cyber threats, and bolster security posture.
    • Maintain ITSI and SIEM-like tools and custom content within virtualized environments.
    • Perform tuning and filtering of events and information, creating custom views and content.
    • Familiar with UBA and Splunk.
    • Collaborate with cross-functional teams to design and implement data integrations between various security and operational tools (including Splunk and AppDynamics) and ServiceNow.
    • Develop and maintain data pipelines to ensure accurate and timely flow of security incidents, alerts, and operational metrics into ServiceNow for incident management, problem management, and reporting.
    • Assist in defining and implementing data models within ServiceNow to support security operations and compliance initiatives.
    • Work with third-party services for design review and optimal deployment configuration for enterprise cloud service utilization (relevant to integrations).
    • Design and implement data collection strategies for AppDynamics, ensuring comprehensive monitoring of application performance and infrastructure.
    • Integrate AppDynamics data with Splunk for centralized visibility and correlation with other security and operational logs.
    • Troubleshoot problematic service deployments and data flows, utilizing forensic tools and audit log review (relevant to monitoring and analysis).
    • Develop methods to leverage AppDynamics data for identifying potential risks and optimizing application performance.
  • General Data Engineering & Systems Expertise:
    • Collaborate with mission partners to develop long-term enterprise audit solutions and normalize non-standard data sets.
    • Engineer and maintain secure virtualized and cloud environments for data platforms.
    • Deploy and harden servers running Linux OS in accordance with CIS and other STIG guidelines.
    • Develop runbooks, SOPs, and documentation for new processes and systems.
    • Perform liaison duties between service providers and clients to bridge communication gaps and ensure adherence to SLAs.
    • Review and evaluate data integrity and develop use cases for various data sets.
    • Maintain system baselines and configuration management for data engineering tools.
    • Contribute to the development of plans to safeguard data against unauthorized modification, destruction, or disclosure.
    • Strong understanding of cyber security principles and experience with various security tools (e.g., Next-Gen Firewalls, IPS/IDS, Tenable Nessus, Rapid7 Nexpose, McAfee EPO, Symantec SEP).

Required Skills & Experience:
  • 20+ years of progressive experience in Information Technology and Security, with a strong focus on data engineering and systems integration.
  • Security Clearance: Candidate must possess an active TS/SCI with Full Scope Polygraph
  • Demonstrated expertise in engineering and maintaining large-scale Splunk environments, including data ingestion, parsing, normalization, and content development.
  • Experience with automating complex data ingestion methods (e.g., S3, syslog, JSON, APIs).
  • Strong understanding of data tagging, cataloging, and data governance best practices.
  • Proficiency with Linux OS administration and hardening.
  • Familiarity with cloud security principles and deploying commercial services into protected/secured enclaves (e.g., AWS).
  • Experience with SIEM solutions and their implementation, configuration, and maintenance.
  • Strong scripting skills (e.g., BASH, Python, PowerShell).
  • Excellent collaboration and communication skills, with the ability to work effectively in small teams and large collaborative efforts.
  • Ability to troubleshoot complex technical issues and perform root cause analysis.
  • Proven ability to develop and maintain documentation (runbooks, SOPs).

Desired Skills (Plus, but not required):
  • Experience with ServiceNow platform administration, development, or integration.
  • Experience with AppDynamics for application performance monitoring and data collection.
  • Experience with configuration management tools - Git, Ansible