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By joining our project, you will be working on an initiative of the European Commission focused on creating a more efficient, modern and secure customs environment within the European Union. Being part of this initiative set on a 5 years’ timeline, you will have the opportunity to work on topics such as digitalization of customs processes, streamlining customs procedures to facilitate trade and reduce costs, harmonization of customs rules across all EU member states and combating fraud.
Job Responsibility:
Extracting, cleaning, and analyzing data from various sources to produce meaningful reports
Designing and maintaining dashboards and reporting tools to monitor business metrics and KPIs
Collaborating with stakeholders to understand reporting needs and deliver tailored insights
Performing trend analyses and developing forecasts to support strategic planning and operational efficiency
Identifying opportunities for process improvement through data-driven workflow analysis
Validating the accuracy and completeness of reports, ensuring data integrity at all times
Providing ad hoc analyses to support time-sensitive business decisions
Training and supporting team members in using reporting tools and interpreting data outputs
Staying current with new data analysis tools, techniques, and best practices
Applying AI technologies to automate reporting processes and enhance analytical capabilities
Requirements:
Bachelor’s degree in Computer Science, Engineering, or related field
Minimum 5-10 years of experience as a Reporting Analyst, Data Analyst, or similar role
IT Infrastructure knowledge mandatory
Hands-on experience with AI tools and techniques for automating reporting and data analysis
Strong proficiency in data visualization tools such as Tableau, Power BI, or Looker
Advanced SQL skills for querying and manipulating data from relational databases
Expertise in Excel, including pivot tables, VLOOKUP, and macros
Ability to translate complex data into clear, actionable insights for non-technical stakeholders
Strong attention to detail and a commitment to data accuracy and quality
Excellent organizational and time-management skills, with the ability to manage multiple projects simultaneously
Familiarity with programming languages such as Python or R for data analysis and automation
Experience with ETL processes or managing data pipelines
Knowledge of CRM, ERP, or financial systems such as Salesforce or SAP
Exposure to statistical analysis and forecasting techniques
Excellent command of both spoken and written English
Nice to have:
ITIL and ITSM knowledge is an advantage
What we offer:
Smooth integration and a supportive mentor
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