Data Analyst focusing on transforming data into strategic insights at V.tal. Collaborating with teams and leveraging tools like Power BI, Python, and SQL for impactful results.
About the role
- Data Analyst responsible for turning data into insights at Anomali, focusing on AI-Powered Security Operations. Analyzing datasets and collaborating with teams to support strategic decisions.
Responsibilities
- Collect, clean, and analyze data from multiple sources to identify meaningful patterns, trends, and meaningful insights.
- Create dashboards, reports, and data visualizations using tools like Tableau, Excel, or Python to support decision-making.
- Establish and monitor KPIs to measure business performance and effectiveness of strategic decisions.
- Write SQL queries to extract and manipulate datasets from databases for analysis and reporting.
- Collaborate with cross-functional teams (marketing, finance, operations, product) and work closely with management to understand data needs and deliver insights.
- Locate and define new process improvement opportunities.
- Communicate analysis and findings to stakeholders through clear and engaging reports and visualizations.
Requirements
- Bachelor's/Master’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics, Cybersecurity or related field.
- 1+ year of working experience or academic project work as a Data Analyst or Cybersecurity Analyst with Machine Learning.
- Core understanding of data modeling concepts.
- Strong knowledge of and experience with databases (SQL, etc.), programming (Python, R, etc), and either reporting packages or Machine Learning.
- Proficiency in querying (SQL or comparable), Excel (pivot tables and advanced formulas), and data visualization (Tableau, PowerBI, Looker, or comparable).
- Excellent communications skills with the ability to present technical findings to non-technical audiences.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Knowledge of and proficiency with statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.) preferred.
- This is a hybrid position working onsite at our Belfast office. This position is not remote.
- This position is not eligible for employment visa sponsorship. The successful candidate must be able to work freely at our location in Belfast.
Benefits
- Competitive Salary
- Medical
- Private Healthcare Plan
- Dental Plan
- Optical Plan
- Paid Public Holidays
- Accrued Paid Time Off – 25 days
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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