DARC Reporting and Data Analyst
Intel2 Locations$84k – $139kPosted 27 March 2026
Tech Stack
Job Description
Job Details:
Job Description:
As a Business Intelligence Analyst, you will play a pivotal role in shaping data-driven decisions across Intel's diverse business domains. In this position, you will transform complex business data into actionable insights, empowering stakeholders with innovative visual approaches to make strategic decisions. Your expertise will contribute to Intel's success by designing business intelligence solutions and utilizing data to build compelling narratives that drive strategic improvements.
The Data, AI, and Reporting Center of Excellence (DARC) is a team of financial analysts and business intelligence experts who partner closely with Intel IT to create and maintain the Finance Analytics Environment (FAE). The FAE is a series of tabular data models and Power BI reports built on Intel's financial systems of record. Joining DARC means becoming part of an organization that thrives on innovation, collaboration, and leveraging data to create impactful solutions.
As a DARC Data and Reporting Analyst, your responsibilities will include, but are not limited to:
Supporting the business intelligence domain and learning from experienced team members.
Assisting with data extraction, transformation, and loading processes.
Contributing to technical and business documentation for data structures and processes.
Supporting business analysts and requirements gathering activities.
Building dashboards and performing testing and validation per established processes.
Learning about business intelligence governance, privacy, and security frameworks.
Supporting the maintenance of BI interfaces, data visualization, and reporting tools.
Qualifications:
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. This position is not eligible for Intel’s immigration sponsorship.
Minimum Qualifications:
Bachelor’s degree in Finance, Economics, Sales, Marketing, Data Science, or related field with at least 6 months of relevant experience – OR –
Master’s degree in Finance, Economics, Sales, Marketing, Data Science, or related field
Experience with Power BI, Tableau or other data visualization tools
Preferred Qualifications:
Basic understanding of financial concepts and reporting
Proficiency with PowerQuery, DAX, Python , or other programming languages
Knowledge of Power BI Datasets, Azure Analysis Services, or SQL Server Analysis.
Familiarity with database concepts
Skills with source control platforms such as GitHub or TFS.
Experience with Corporate financial systems and processes, including Close processes, ERP systems, and costing practices
Strong analytical and problem-solving skills
Ability to work in a fast-paced, collaborative environment
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Job Type:
College Grad
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, Arizona, Phoenix
Business group:
Join Intel's Finance Group, a key player in driving strategic business decisions that enhance shareholder value. Our team is dedicated to facilitating change and improvement across finance and the operations we support. As strategic partners, we lead acquisitions and inorganic growth initiatives, managing transactions from ideation to completion while serving as trusted advisors to executive leadership. Additionally, we enhance employee experiences by maintaining Intel sites globally and advancing environmental sustainability efforts.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military an ... (truncated, view full listing at source)
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