Everything you need to know about hiring a Data Security Analyst
Why hire a Data Security Analyst?
The rise of automotive hacking and data breaches round the clock. As companies add layers of sophisticated intelligence for safeguarding privacy, and data among many, demand for Data (Cyber) Security Analysts has grown exponentially.
Data Security is an integral part of the business ecosystem. Between 2013 to 2021, the number of vacant Data Security jobs grew by 350%.
In the U.S alone, 715,000 cyber security job roles remained unfilled at the end of2021.
Why is hiring Data Security a top priority for many business enterprises globally? Consider these stats:
- Cybercrime would be the 3rd largest economy , after China and the US
- Current cyber risk is -0.04
- For every 2 cyber(data) security jobs that are filled, 1 remains empty.
- There’s one cybersecurity job out of every 20 open jobs in the U.S alone.
Data Security has become an integral part of the business ecosystem as the war between cybercrime and intelligent solutions is skyrocketing. As a result, many industries are short-staffed for Cyber Security readiness.
Before we dive in, our tech hiring guide tells you what goes into hiring tech talent across diverse industries.
What is a Data Security Analyst?
A Data Security Analyst is a cyber professional who analyzes an organization’s data to produce proactive security measures. As a forefront warrior, the role is pivotal in real-time intrusion detection like potential fraud or scams, unusual network traffic patterns, and security breaches.
Also called an Information or Cyber Security Analyst, a career in data security needs to be well-versed in data mining and analysis, behavioral analytics, forensics, security audits, visualization, and reporting.
Career Avenues in Cyber Security
Why are Data Security Analysts in high demand?
A study from ResearchandMarkets reports that the global data-centric security market size is anticipated to reach USD 12.3 Billion by 2027, with a CAGR of 23.9% within the forecasted period. What drives this growth? Three reasons:
- Exponential demand for data-centric security solutions
- Rigorous regulations for adopting data-centric security solutions
- Accelerating threats to enterprise data adoption of data-centric security solutions
Many companies even consider every IT position for cyber security in recent times. In the words of Robert Herjavec, CEO of Global Cybersecurity Firm Cyderes,
“If you know cyber(data) security, then you have a job for life!”
The cybersecurity skills are so thin that last year Microsoft launched a national campaign with the U.S community colleges to prepare a cybersecurity workforce of 250,000 candidates by 2025. Additionally, their cybersecurity curriculum is available freely across the community colleges.
According to the U.S Bureau of Labor Statistics, careers in data or information security are the 10th fastest growing jobs in the coming decade with a projected growth rate of 33% between 2020 and 2030.
Related Read: How to Hire a Data Analyst
Average pay for a Data Security Analyst
As per Glassdoor estimates, the average salary for a Data Security Analyst in the USA is $71,226 per year, with an added compensation between $1,020 – $23,665.
Data Security Analyst KPIs:
The role of a Data Security Analyst is indeed challenging. Just like a marshal, they have to consistently dip deep to defend the cybersecurity of their organization.
One look at a Data Security Analyst’s KPIs and you will know the magnitude of their job performance.
- Compliance with PCI DSS
- Compliance with GDPR
- Compliance with GLBA Act
- Compliance with FISMA regulations
- Unidentified devices on internal networks
- Configuration of SSL Certificates
- Days for security patch implementation
- Email authentication implementation
Recommended Read: How to Track Talent Acquisition Metrics
Data Security Analyst Job Description
- Monitor, analyze, and participate in disaster recovery implementation and testing as per the NIST framework.
- Contribute towards security technology prioritization, and future utilization of security technology and process improvements to the security team.
- Assess data security risks and evaluate and implement network security products, vendors, and services.
- Conduct validation and testing of security architecture and design solutions, along with detailed engineering specifications with recommended vendor technologies.
- Manage and support the development, testing, and operation of firewalls, intrusion detection systems, enterprise malware systems, and software deployment tools
- Primary contact for updating Alnova roles and JIRA Support Requests.
- Identify and access management system functions including software installation, upgrades, and ongoing maintenance.
- Mitigate SoD conflicts for users and roles as per business approval
- Conduct weekly audit reports, and SOD reports
- Develop departmental procedures and job standards for new vendor roles.
Data Security Interview Questions
1) What professional certifications should a Data Security Analyst possess?
2) What are the critical responsibilities a Data Security Analyst possesses?
3) Explain the process of configuring traceroute in a cisco firewall for a group of windows users
4) How do risk, threat, and vulnerability differ from each other?
5) What is your approach to working with a large amount of data?
6) Are hashing and encryption the same?
7) What proactive measures do you take to protect your organization’s data?
8) On what terms do data leak and data breach differ from each other?
9) According to you, how should an organization strengthen its user authentication?
10) What do you mean by the MITM attack? How can you prevent such an attack?
Best Practices for hiring Data Security Analysts
Global tech talent reviews suggest that hiring tech talent for Data Security roles should cover 360 understanding of technology and dark technology as well.
For instance, a cyber threat may look small now but will spread its tentacles if ignored. That’s why technical hiring platforms must focus more on their hands-on experience and niche areas, than on academics only.
Many video interviews suggest that recruiters are on a hiring spree to find an excellent Data Security Analyst. Their mantra is, “If you find a good candidate, do not let them go at any cost.” But that doesn’t mean recruitment happens smoothly. Tech recruiters must be as updated as the candidates in this regard.
On the flip side, a majority of the technical recruiters are still stuck in the age-old recruitment methods. That’s why hiring red flags like over-reliance on credentials rather than competencies and lack of advanced evaluation tools in skill assessments have severely limited the talent pool.
Recruitment software like Glider AI takes candidate evaluation to the next level. Through a structured and standardized process, interviews are made candidate-friendly and also accurately assess skills and competencies. Hiring is not only bias-free but evaluated on real-world scenarios as well.