DARC Data Modeler

Job Details:

Job Description: 

The Data 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. The FAE allows Intel Finance and other business partners to securely and easily access critical financial data for reporting and analytics.

As a Senior Finance Data Modeler for DARC, 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.
• 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.
• Excellent verbal and written communication.

Qualifications:

You must possess the 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. This position is not eligible for Intel's immigration sponsorship.

Minimum Qualifications:

• Bachelor's degree in Finance and/or Economics, or related field.
• 7+ years of relevant work experience.
• 2+ year of experience with: Data modeling for Financial analytics solutions
• 2+ year of experience with 2 or more of the following:
  • Power Query M
  • DAX
  • SQL.
• 2+ year of experience with Microsoft Power BI.

Preferred Qualifications:

• Advanced English proficiency (both verbal and written).
• Familiarity with: The Definitive Guide to DAX; Cost or Revenue reporting; All levels of Product Master Data.
• Experience with Power BI Datasets, Azure Analysis Services, or SQL Server Analysis.
• Technical experience in: Finance and operations systems expertise.
• 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 costing 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:As members of the Finance team, employees act as full partners in making and supporting business decisions that are aimed at maximizing shareholder value. Intel Finance has a strong focus on facilitating change and improvement both within finance and in the operations supported.

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 and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/A

Benefits:

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation.  Find more information about all of our Amazing Benefits here:

https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003

Annual Salary Range for jobs which could be performed in the US:

$136,380.00-$192,540.00

Salary range dependent on a number of factors including location and experience.

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. * Job posting details (such as work model, location or time type) are subject to change.