At a Glance
- Tasks: Analyse data to uncover trends and support national security initiatives.
- Company: Join Radiance Technologies, a 100% employee-owned company focused on innovation.
- Benefits: Enjoy remote work flexibility, competitive pay, and professional development opportunities.
- Other info: Collaborative culture with exposure to advanced analytics and AI technologies.
- Why this job: Kickstart your data analytics career while making a real impact on national security.
- Qualifications: Bachelor's degree in a quantitative field and relevant analytics experience required.
The predicted salary is between 30000 - 40000 £ per year.
Radiance Technologies is seeking a motivated Junior Data Analyst to support U.S. Customs and Border Protection's (CBP) Advanced Trade Analytics Platform (ATAP). In this role, you will work alongside data scientists, engineers, and government stakeholders to support analytics, reporting, machine learning initiatives, and mission-focused decision-making. This is an excellent opportunity for an early-career professional to build technical skills while contributing to programs that directly support national security and trade enforcement.
What You'll Do
- Analyze datasets to identify trends, patterns, and actionable insights.
- Support data extraction, transformation, and loading (ETL) activities.
- Assist with the development, testing, and implementation of analytical tools and software.
- Prepare data for analytics, reporting, and machine learning initiatives.
- Support data scientists and analysts in research, modeling, and analytical projects.
- Develop reports, dashboards, and technical documentation.
- Perform data quality reviews and validation activities.
- Identify opportunities for process improvement and automation.
- Communicate analytical findings to technical and non-technical stakeholders.
- Participate in Agile development activities and team collaboration efforts.
Required Qualifications
- Education: Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Information Systems, Analytics, or a related quantitative discipline.
- Experience: Two (2) years of relevant experience in analytics, business intelligence, data science, statistics, computer science, operations research, or related fields. A Master's degree in a related field may substitute for required experience.
Knowledge & Skills
- Understanding of data analytics, statistics, data visualization, and databases.
- Familiarity with programming or scripting languages used in analytics environments.
- Strong analytical, problem-solving, and communication skills.
- Ability to work effectively in a collaborative team environment.
- Strong attention to detail and willingness to learn new technologies.
Preferred Qualifications
- Experience supporting federal, DHS, CBP, defense, intelligence, or law enforcement programs.
- Familiarity with Python, SQL, R, Power BI, Tableau, or similar analytics tools.
- Exposure to machine learning concepts and methodologies.
- Experience working with large datasets and reporting solutions.
Security Requirements
- Active Top Secret security clearance required.
- Ability to obtain and maintain access to DHS and CBP systems and facilities.
Why Radiance?
- 100% Employee-Owned (ESOP)
- Remote Work Flexibility
- Career Growth and Mentorship
- Exposure to Advanced Analytics and AI Technologies
- Collaborative and Innovative Culture
- Professional Development Opportunities
- Competitive Compensation and Benefits
Join Radiance Technologies and help transform data into mission success. Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Junior Data Analyst employer: Radiance Technologies
Radiance Technologies is an exceptional employer for aspiring data analysts, offering a unique opportunity to contribute to national security while working remotely. With a strong emphasis on employee ownership, professional development, and a collaborative culture, team members are encouraged to grow their skills in advanced analytics and AI technologies. The company’s commitment to mentorship and innovation ensures that employees are well-equipped to tackle complex challenges in a supportive environment.
