Finance Data and Reporting Analyst (DARC)

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About This Role

  • The Intel Finance Data, AI, and Reporting organization 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.
  • The FAE allows Intel Finance and other business partners to securely and easily access critical financial data for reporting and analytics.
  • Joining this team means becoming part of an organization that thrives on innovation, collaboration, and leveraging data to create impactful solutions.
  • As a Senior Finance Data Modeler, your responsibilities will include but not limited to: • Developing scalable data models to help Intel finance reduce time spent manually gathering key business metrics • Translating business requirements into technical requirements that can be communicated to our partners in IT • Building experimental AI capabilities into scalable and production ready platforms for internal customers and stakeholders • Partnering effectively with cross-functional teams to bring analytics-focused products to production at scale • Communicating the business impact of your work to Senior and Executive leadership The successful candidate must demonstrate the following skills/ traits • Strong Analytical and Problem Solving • Attention to Detail • Collaboration and teamwork • Data Analysis • Financial Acumen • Excellent verbal and written communication • Advanced English proficiency (both verbal and written) Qualifications: You must possess the below minimum qualifications 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.
  • Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Requirements

  • Bachelor's degree in finance and/or Economics, or related field with 5 + years o f relevant work experience. 4+ years of experience with Data modeling for financial analytics solutions. 2 or more years of experience with one of the following: Microsoft Power BI, Power Query M, DAX, SQL. 2+ years of experience with technical experience in Finance and operations systems 2+ years of experience with Power BI Datasets, Azure Analysis Services, or SQL Server Analysis This position is not eligible for Intel's immigration sponsorship.

Nice to Have

  • Familiarity with: The Definitive Guide to DAX; PnL, OpEx, Revenue, and Cost reporting; All levels of Master Data Experience using finance systems for forecast and close Experience with source control platforms such as GitHub or TFS Proficiency in Python and R Familiarity with Corporate Financial systems and processes, including Close processes, ERP systems, and best reporting and data modeling practices Experience partnering with IT (SAs, Scrum Masters, Developers) Job Type: Experienced Hire 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.
  • It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
  • Find out more about the benefits of working at Intel .
  • Annual Salary Range for jobs which could be performed in the US: $116,010.00-228,070.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
  • Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

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