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Data Security Analyst Jobs in Raleigh, NC (NOW HIRING)

ULS) transforms safety, security and sustainability challenges into opportunities for customers in ... Experience in data, and statistical analysis strongly preferred. * Strong in Microsoft Excel and ...

ULS) transforms safety, security and sustainability challenges into opportunities for customers in ... Experience in data, and statistical analysis strongly preferred. * Strong in Microsoft Excel and ...

... Senior Systems Security Analyst with ongoing PCI compliance tasks and annual "PCI Report on ... data restoration when necessary. * Manage corporate hardware and retain an inventory of spare ...

... data security requirements. * Experience supporting production line development, workflow optimization, or automation initiatives. * Strong documentation, organizational, analytical, engineering, and ...

... data security requirements. * Experience supporting production line development, workflow optimization, or automation initiatives. * Strong documentation, organizational, analytical, engineering, and ...

... data security requirements. * Experience supporting production line development, workflow optimization, or automation initiatives. * Strong documentation, organizational, analytical, engineering, and ...

... data security requirements. * Experience supporting production line development, workflow optimization, or automation initiatives. * Strong documentation, organizational, analytical, engineering, and ...

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Data Security Analyst information

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$10

$45

$67

How much do data security analyst jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data security analyst in Raleigh, NC is $45.94, according to ZipRecruiter salary data. Most workers in this role earn between $36.92 and $55.14 per hour, depending on experience, location, and employer.

How does a Data Security Analyst typically interact with other departments within an organization?

Data Security Analysts work closely with various departments, including IT, legal, compliance, and operations, to implement and maintain security protocols. They often collaborate with IT teams to monitor network traffic, respond to incidents, and deploy security tools. Additionally, they may assist HR and management in developing employee security awareness training and ensure that business processes align with regulatory requirements. This cross-departmental interaction is vital for identifying vulnerabilities and ensuring the organization's data protection policies are effectively enforced.

What does a security data analyst do?

A security data analyst monitors and analyzes security data to identify potential threats and vulnerabilities within an organization’s systems. They use tools like SIEM (Security Information and Event Management) systems and perform data analysis to detect suspicious activity, helping to prevent cyber attacks and ensure data protection. Strong analytical skills, knowledge of cybersecurity principles, and relevant certifications are often required for this role.

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

AspectData Security AnalystNetwork Security Analyst
CertificationsCompTIA Security+, CISSP, CISACompTIA Security+, CISSP, CCNA Security
Work EnvironmentFocuses on data protection, encryption, and access controls within organizationsFocuses on securing network infrastructure, firewalls, and intrusion detection systems
Employer & Industry UsageUsed across finance, healthcare, and tech sectors to protect data assetsCommon in IT and telecommunications industries to safeguard network systems
Search & Comparison IntentOften compared for roles involving data security responsibilitiesCompared for roles emphasizing network infrastructure security

While both roles focus on security, Data Security Analysts primarily protect data integrity and confidentiality, whereas Network Security Analysts concentrate on securing network infrastructure. Both roles require similar certifications and are vital in safeguarding organizational assets, but their focus areas differ within cybersecurity.

Is SOC an entry level job?

A Security Operations Center (SOC) analyst role can be entry level, but many positions require some experience with cybersecurity tools, network monitoring, or security protocols. Entry-level SOC roles often focus on monitoring and alerting, while more advanced positions may require certifications like CompTIA Security+ or CISSP.

Is 40 too old for cyber security?

As a Data Security Analyst, age is not a barrier to entering cybersecurity. Many professionals successfully start or transition into cybersecurity roles at age 40 or older, especially with relevant skills, certifications, and experience in areas like risk management, network security, or compliance.

What are Data Security Analysts?

Data Security Analysts are professionals responsible for protecting an organization’s digital information from cyber threats and unauthorized access. They monitor networks for security breaches, investigate incidents, and implement security measures such as firewalls and encryption. Their role also includes conducting vulnerability assessments, developing security policies, and ensuring compliance with regulations. Data Security Analysts play a crucial role in maintaining the confidentiality, integrity, and availability of sensitive data.

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

To thrive as a Data Security Analyst, you need a solid understanding of information security principles, risk assessment, and cybersecurity frameworks, often supported by a degree in computer science or a related field. Familiarity with tools like firewalls, intrusion detection/prevention systems (IDS/IPS), SIEM platforms, and certifications such as CISSP or CompTIA Security+ is highly valued. Analytical thinking, attention to detail, and strong problem-solving abilities help distinguish top performers in this role. These skills and qualities are vital to proactively identify vulnerabilities, mitigate threats, and safeguard organizational data assets.

Can you make $500,000 a year in cyber security?

Data Security Analysts typically earn salaries below $200,000 annually, but senior roles such as Chief Information Security Officers or cybersecurity executives can reach or exceed $500,000 with extensive experience, certifications, and leadership responsibilities. Achieving this level often requires advanced skills, industry certifications like CISSP, and working in high-demand or executive positions.

What Is a Data Security Analyst?

A data security analyst specializes in cybersecurity designed to protect large amounts of data. As a data security analyst, your job duties are to monitor your organization’s current data security protocols and then suggest ways to improve security. You may design and develop software and strategies that provide increased network security. You help document changes and train workers on how to improve internal security and use your software. You also perform regular security audits on all computer systems in your organization.

What are popular job titles related to Data Security Analyst jobs in Raleigh, NC? For Data Security Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
Infographic showing various Data Security Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $95,561 per year, or $45.9 per hour.
Business Intelligence Analyst - Business Development & Marketing Analytics

Business Intelligence Analyst - Business Development & Marketing Analytics

DPR Construction

Raleigh, NC • On-site

Full-time

Posted 4 days ago


DPR Construction rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

19th of 79 rated construction


Job description

Job Description

DPR Construction is seeking a Business Intelligence Analyst to serve as the lead Data Analyst working closely with cross-functional teams in our Get Work Integrated Workgroup to build relationships, identify pain points, create and drive data strategy, and deliver actionable insights. The Get Work Integrated Workgroup is composed of leaders from the business and technology functions who support the strategic planning and delivery of critical technology and analytics to drive the business forward. It includes Business Development, Sales, Marketing, Content Operations, Brand & Design, and Internal and External Communications. This lead role is part of the Data Analytics team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics.

The Ideal candidate would have experience in the following:

  • Strategic thought partnership - Someone who isn't just reporting numbers but helps the business think differently about how we win work. They should connect dots across sales, CRM, marketing, and communications to influence strategy.
  • Data integration & insight creation - Can pull together data from multiple systems (CRM, marketing engagement, customer feedback, pipeline) and turn it into meaningful insights - market trends, hit rates, portfolio health, customer intelligence.
  • Market & customer perspective - Brings a sales mindset and understands how customers buy; can surface patterns to help prioritize where to focus our efforts.
  • Clear storytelling & influence - Takes complex data and makes it actionable for leaders; creates visuals, dashboards, and narratives that drive decision making.
  • Change leadership - Helps elevate how the Get Work team uses data, drives adoption of tools, improves data quality, and pushes DPR to be more disciplined and insight-driven.
  • Trusted advisor - Builds relationships with BD, Marketing, Sales, and Comms so people proactively seek their input on strategy and pursuits.
  • Sales & Marketing Insight:Deep understanding of sales cycles, marketing funnels, and customer experience metrics; proven ability to connect data to revenue impact.

Responsibilities


Strategic Partnership / Roadmap / Execution / Delivery

  • Develop and maintain Strategic Partnerships with business stakeholders and a deep understanding of their people, processes, tools, and goals.
  • Drive strategic conversations with stakeholders to fully understand and document pain points and business requirements, define the key insights and metrics required to improve business processes, and develop appropriate business intelligence datasets and analytics.
  • Create, maintain, and execute on data analytics roadmap for stakeholder groups in alignment with overall goals and objectives.
  • Participate in and collaborate with the Integrated Workgroup and functional teams to align Data Analytics (DA) efforts and resources with business goals and objectives.
  • Identify opportunities for business process optimization and technical optimization and collaborate with stakeholders, as required, for implementation.
  • Translate business problems into technical requirements and communicate technical solutions in business terms.


Visualization / Storytelling / Data Modeling

  • Be responsible for taking data analysis and insights capability to the next level by working with data infrastructure to ensure the data is accessible; working with stakeholders to understand and align on business requirements; and recommending and developing new reporting and actionable insights to improve business processes and inform strategic conversations.
  • Create complex data models in visualization tool, and make transformations as needed.
  • Query Data Warehouse using SQL to quickly analyze datasets; clean data as required.
  • Identify potential new datasets to add to the Data Warehouse and/or potential new integrations between source systems and the Data Warehouse.
  • Work with Technical Data Analysts to build requirements for views in data modeling tool (dbt) and the data warehouse (Snowflake).
  • Create and maintain dashboards and apps and perform ad-hoc analyses as required.
  • Identify root cause of data integrity issues (report, DFL, data warehouse, source system).
  • Complete impact analysis on reports when changes are made to source systems or tables upstream.
  • Identify, quantify, and communicate impacts to stakeholders and customers.
  • Follow, implement, and enhance data security and governance guidelines.


Collaboration / Training / SME

  • Identify opportunities for data collaboration and integration between disciplines.
  • Coordinate alignment, as applicable, across other Technology and innovation (T&I) groups.
  • Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery.
  • Train end-users on how to use and interpret information/insights on deployed dashboards/reports.
  • Identify opportunities to improve data literacy throughout DPR.
  • Operate as the Subject Matter Expert (SME) for the Get Work business across data availability, quality, processes, and technology for all Get Work functions.
  • Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users.

Qualifications
  • Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus five (5) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus seven (7) years of experience.
  • Construction Experience including industry trends, terminology, and typical processes is strongly preferred.
  • Construction Sales, Business Development, and Marketing experience strongly preferred.
  • Experience with and first-hand knowledge of CRM Tools, strongly preferred.
  • Passion for the use of data and business intelligence principles and their ability to optimize business outcomes.
  • Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data.
  • Proven analytic skills, including data mining, evaluation, analysis, and visualization.
  • Ability to create data models and understand dependencies between source systems.
  • Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows.
  • Experience with consuming APIs from the client side including REST and GraphQL.
  • Experience with SQL scripting required.
  • Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making.
  • Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed.
  • Demonstrated success in building trusted relationships with internal/external clients and customers.
  • A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities atwww.dpr.com/careers.


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