DARC Data Modeler

at  Intel

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 SQL Server Analysis Services (SSAS) 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 access critical financial data securely and easily for reporting and analytics.

As a Senior Finance Data Analyst for DARC, the primary responsibilities for this role will include, but are not limited to:

• Developing scalable tabular 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.

A successful candidate will have proven experience demonstrating the following skills and behavioral traits:

• Problem Solving.
• Attention to Detail.
• Collaboration and teamwork

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.
Minimum Qualifications:
Bachelor’s degree in finance and/or Economics, or related field.
5+ years of relevant work experience.

1+ year of experience in the following:

• Power Query M, DAX, or SQL.
• Microsoft Power BI.
• Data Analysis.

Advanced English proficiency (both verbal and written).
Must have unrestricted - permanent right to work in Costa Rica.

Preferred Qualifications:

• Familiarity with: The Definitive Guide to DAX.
• PNL, spending, Cost or Revenue reporting
• 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 with the Finance Analytics Environment [FAE].
• Experience partnering with IT (SAs, Scrum Masters, Developers).

• Developing scalable tabular 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