Finance Data and Reporting Analyst (DARC)

Intel Corporation•Hillsboro, OR

2d•Hybrid

About The Position

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.

Requirements

Bachelor's degree in finance and/or Economics, or related field with 5+ years of 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
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)

Nice To Haves

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)

Responsibilities

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