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Data Analyst
1 month ago
At Intel, the International Trade Group (ITG) is responsible for ensuring that Intel can seamlessly transfer millions of items across borders in compliance with trade regulations. The data analyst and reporting team enables access to high-quality data, metrics, and reports for trade.
If you are looking for a role that allows you to influence and shape Intel's future, this is the role for you.
Responsibilities may include but are not limited to:
- Works directly with subject matter experts, vendors, and partner organizations to deliver key performance indicators, metrics, and datasets, including data/reporting requirements gathering, business process mapping, testing, documentation, and training.
- Design and implement the capability to ingest, harmonize, and analyze trade data from disparate sources, for example, SAP GTS, Supply Chain, shipping tools, and government trade data, to improve visibility and establish trends and metrics that provide insight into trade operations for decision-making.
- Engage with Supply Chain, Finance, IT, and other teams to integrate and optimize data sources, ensuring high-quality, consistent, and accessible data solutions.
- Understand AS-IS and TO-BE processes, business requirements, key gaps, and objectives with a focus on data design and integration.
- Communicate, explain, and clarify data issues with the customer/business groups and translate impacts to business requirements.
- Develop data flows and diagrams to validate the feasibility of an idea. Understands expectations from the solution, conducts design due diligence, and evaluates business value and risks based on solution expertise.
- Support ad-hoc data analysis, including evaluating compliance risk, impact of new regulations, etc., across the organization.
This position is not eligible for employment-based visa/immigration sponsorship. Intel sponsors individuals for employment-based visas for positions where we experience a shortage of US Workers. These skills shortage roles are typically STEM contributing positions requiring a Master's or PhD degree, or a Bachelor's degree with three years related job experience. This position does not qualify for Intel Sponsorship because it is either (1) a non-STEM contributing position, or (2) a STEM position that only requires a bachelor's degree and less than three years' experience.
The ideal candidate will have the following skills in addition to the qualifications listed below:
- Experience in project management with organizational skills and a track record for delivering objectives on schedule and within budget.
- Must be a team player, proactive, and have a self-driven approach.
- Strong problem-solving skills and the ability to tackle complex data-related challenges.
- Excellent communication skills and the ability to collaborate effectively with customers and team members.
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
- The candidate must possess a Bachelor's or master's degree in International Trade, Business, Management, Information Systems, Computer Science, Industrial Engineering, Data Science, or a related field.
- 5+ years of relevant International Trade experience, business analysis, and/or Data related roles.
- Advanced English level
- Costa Rican unrestricted work permit.
Preferred Qualifications:
- Familiarity with data visualization tools such as PowerBI or similar.
- Expert in data wrangling and analyzing massive, complex, structured, or unstructured datasets to build metrics and datasets.
- Experience in requirement analysis, design, and prototyping.
- International trade knowledge, including designing and deploying solutions in SAP GTS.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.