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Junior Data Analyst - Belfast

Anomali

Belfast, United Kingdom Hybrid permanent

Posted: January 30, 2026

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Job Description

Company Description
Anomali is headquartered in Silicon Valley and is the Leading AI-Powered Security Operations Platform that is modernizing security operations. At the center of it is an omnipresent, intelligent, and multilingual Anomali Copilot that automates key workflows and empowers your team to deliver critical threat insights to leadership in seconds.

Anomali unifies ETL, SIEM, XDR, SOAR, and the world’s largest repository of global intelligence into a single, cloud-native platform that improves detection, speeds investigations, and reduces costs at scale.

Do more with less. Be Different. Be the Anomali.
Learn more at www.anomali.com

Position Description:

We are seeking a Data Analyst who is passionate about turning data into information, information into insight, and insight into business decisions. As a Data Analyst at Anomali, you will be responsible for analyzing large data sets to identify trends, develop charts, and create visual presentations to help the company make strategic decisions.

o Collect, clean, and analyze data from multiple sources to identify meaningful patterns, trends, and meaningful insights.
o Create dashboards, reports, and data visualizations using tools like Tableau, Excel, or Python to support decision-making.
o Establish and monitor KPIs to measure business performance and effectiveness of strategic decisions.
o Write SQL queries to extract and manipulate datasets from databases for analysis and reporting.
o Collaborate with cross-functional teams (marketing, finance, operations, product) and work closely with management to understand data needs and deliver insights.
o Locate and define new process improvement opportunities.
o Communicate analysis and findings to stakeholders through clear and engaging reports and visualizations.

Qualifications
Required Skills/Experience:

o Bachelor's/Master’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics, Cybersecurity or related field.
o 1+ year of working experience or academic project work as a Data Analyst or Cybersecurity Analyst with Machine Learning.
o Core understanding of data modeling concepts.
o Strong knowledge of and experience with databases (SQL, etc.), programming (Python, R, etc), and either reporting packages or Machine Learning.
o Proficiency in querying (SQL or comparable), Excel (pivot tables and advanced formulas), and data visualization (Tableau, PowerBI, Looker, or comparable).
o Excellent communications skills with the ability to present technical findings to non-technical audiences.
o Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
o Knowledge of and proficiency with statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.) preferred.
o This is a hybrid position working onsite at our Belfast office. This position is not remote.
o This position is not eligible for employment visa sponsorship. The successful candidate must be able to work freely at our location in Belfast.

Benefits:
o Competitive Salary

Medical
o Private Healthcare Plan
o Dental Plan
o Optical Plan

Work-Life Balance
o Paid Public Holidays
o Accrued Paid Time Off – 25 days


Equal Opportunities Monitoring

It is our policy to ensure that all eligible persons have equal opportunity for employment and advancement on the basis of their ability, qualifications and aptitude. We select those suitable for appointment solely on the basis of merit without regard to an individual's disability, race, religion, sex, age or sexual orientation. Monitoring is carried out to ensure that our equal opportunity policy is effectively implemented.

If you are interested in applying for employment with Anomali and need special assistance or accommodation to apply for a posted position, contact our Recruiting team at [email protected]. We are happy to discuss reasonable adjustments.

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