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Cia Data Analyst Jobs (NOW HIRING)

Booz Allen Hamilton

AI Systems Analyst

Charlottesville, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Ability to examine artifi cia l intelligence and machine learning technical implications, data clustering met hodologies, advanced data analytics, model distillations, and systems update cycles

CIA

Marketing Manager

Hyde Park, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... helping strengthen the CIA's discoverability and brand presence. Analyzes data and makes ... Makes recommendations for enhancements to AI-related tools based on analysis and best practices.

Booz Allen Hamilton

Mid Analytic Methodologist

Washington, DC · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree in Statistics, Data Science, Computer Science or Quantitative So cia l Science or ... analysis, and reports * Possession of excellent organizational skills * Possession of excellent ...

Booz Allen Hamilton

Data Scientist, Mid

Reston, VA · On-site

$78 - $176/hr

  • Medical

  • Life

  • Retirement

  • PTO

... artifi cia l intelligence ( AI ) . In an increasingly connected world, massive amounts of ... Experience analyzing structured and unstructured data sources * Experience developing predictive ...

Booz Allen Hamilton

$78 - $176/hr

  • Medical

  • Life

  • Retirement

  • PTO

... artifi cia l intelligence ( AI ) . In an increasingly connected world, massive amounts of ... Experience analyzing structured and unstructured data sources * Experience developing predictive ...

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Cia Data Analyst information

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$34K

$82.6K

$136K

How much do cia data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for cia 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.

What is a CIA data analyst?

CIA Data Analysts are intelligence professionals who collect, evaluate, and interpret data from a variety of sources to provide actionable insights that inform national security decisions. They work with classified and open-source information to identify trends, assess threats, and support policy makers. Their analyses help guide the CIA's strategic operations and responses to global events. The role requires strong analytical skills, attention to detail, and the ability to synthesize complex information under tight deadlines.

What skills and qualifications are needed to thrive as a CIA data analyst?

To thrive as a CIA Data Analyst, you need strong analytical and critical thinking skills, proficiency in data interpretation, and a relevant bachelor’s or advanced degree in fields like international relations, political science, or computer science. Familiarity with data analytics software, intelligence databases, and statistical tools such as Python, R, or SQL is typically required. Excellent communication, discretion, and the ability to work under pressure are crucial soft skills for this role. These skills and qualities enable analysts to accurately assess complex data, support decision-making, and protect national security.

What are common challenges faced by CIA data analysts, and how can new hires prepare for them?

CIA Data Analysts often work with large volumes of complex, sometimes incomplete data, requiring strong analytical skills and attention to detail. They must also adapt quickly to rapidly changing intelligence priorities and maintain strict confidentiality. New hires can prepare by developing solid research and critical thinking abilities, staying current with analytical software tools, and practicing effective communication, as collaboration with other analysts and intelligence professionals is key. Being comfortable with ambiguity and having a proactive approach to problem-solving are also valuable assets in this role.

Does the CIA hire data analysts?

Yes, the CIA hires data analysts to support intelligence operations by analyzing large datasets, identifying patterns, and providing actionable insights. Candidates typically need strong analytical skills, proficiency with data tools, and a security clearance. These roles often require relevant experience or education in data science, statistics, or related fields.

How can I become a CIA Data Analyst?

To become a CIA Data Analyst, candidates typically need a bachelor's degree in fields such as data science, computer science, or related areas. Strong analytical skills, proficiency in data analysis tools like SQL or Python, and the ability to obtain a security clearance are also required. Relevant experience and specialized training can enhance prospects for this role.

How much does a CIA data analyst make?

A CIA data analyst typically earns between $70,000 and $120,000 annually, depending on experience, education, and security clearance level. Salaries may also include benefits such as health insurance and retirement plans, and the role often requires strong analytical skills and knowledge of data tools like SQL and Python.
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Cia Data Analyst jobs near you
Infographic showing various Cia Data Analyst job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data & Automation Analyst - Internal Audit

Celanese International Corp.

Irving, TX • On-site

Other

Posted 3 days ago

New

Job description

Overview:
The Data & Automation Analyst (Advanced Specialist, Data Analytics) is responsible to develop and support the Internal Audit Data and testing requirements through AI-driven solutions, advanced analytics, and intelligent automation. This role will develop and deploy scalable solutions that enhance SOX testing, continuous auditing, audit reporting, risk monitoring, and data-driven decision-making. The ideal candidate combines expertise in Microsoft Copilot, Power BI, SQL, Snowflake, Alteryx, and ETL/ELT technologies with a strong understanding of Risk and controls. This role will design repeatable analytics, automate audit activities, and enable auditors with actionable insights that improve efficiency, coverage, and audit quality.
This position will be on-site at the Irving, TX office.
Responsibilities:
  • Build and enhance Microsoft Copilot-enabled solutions that support audit testing, SOX control procedures, evidence summarization, issue tracking, and reporting activities.
  • Develop automated and semi-automated testing routines for SOX, operational audits and continuous auditing.
  • Create reusable analytics workflows, data models, dashboards, and audit testing templates.
  • Identify opportunities to reduce manual audit effort through automation, workflow standardization, process mining, and data-enabled testing.
  • Support modernization of audit analytics platforms, including migration of existing Microsoft SQL Server assets to Snowflake.
  • Partner with auditors and business stakeholders to translate audit requirements into practical analytical and automation solutions.
  • Provide technical guidance and working support to auditors using analytical procedures, dashboards, automated testing, and Microsoft Copilot-enabled tools.
  • Stay current with trends in Microsoft Copilot, generative AI, audit analytics, data visualization, cloud data platforms, and automation technologies.
Qualifications:
  • Build and enhance Microsoft Copilot-enabled solutions that support audit testing, SOX control procedures, evidence summarization, issue tracking, and reporting activities.
  • 4+ years of experience in data analytics, audit analytics, automation or related disciplines.
  • Demonstrated ability to translate business and audit requirements into reliable analytics, dashboards, automated tests, and repeatable workflows.
  • Experience working with large datasets, enterprise applications, and governed data environments.
  • Strong analytical thinking, attention to detail, written communication, and stakeholder collaboration skills

Technical Skills
  • AI & Automation: Microsoft Copilot, Copilot Studio, AI agents, Power Automate.
  • ERP Knowledge: SAP S/4HANA, ERP table structures, Salesforce.
  • Data Platforms: Snowflake, Microsoft SQL Server, Advanced SQL, Alteryx, Python, R, ETL/ELT design, data transformation, data validation, and automated analytics workflows.
  • BI & Reporting: Power BI, DAX, data modeling.

Preferred Certification
  • Power BI Data Analyst Associate, SnowPro, Alteryx Designer, Microsoft AI/Copilot/Power Platform certifications, CIA, or CISA.
Celanese is a global leader in chemistry, producing specialty material solutions used across most major industries and consumer applications. Our businesses use our chemistry, technology and commercial expertise to create value for our customers, employees and shareholders. We support sustainability by responsibly managing the materials we create and growing our portfolio of sustainable products to meet customer and societal demand. We strive to make a positive impact in our communities and to foster inclusivity across our teams. Celanese Corporation employs more than 11,000 employees worldwide with 2024 net sales of $10.3 billion. For more information about Celanese Corporation and its product offerings, visit

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