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DARC Data Modeler

San José, Provincia de San José, Costa Rica Anzeigen-ID JR0269359 Stellenkategorie Data, UX, and Ecosystem Sciences Arbeitsmodus Hybrid Erfahrungsstufe Experienced Arbeitszeitmodell Vollzeit
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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).


Inside this 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.

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.


Working Model


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.
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Ich wollte schon immer etwas tun, das die Welt verändert – bei Intel fühle ich mich geschätzt und ich habe mehr Selbstvertrauen gewonnen. Die Arbeit gibt mir das Gefühl, dass ich in der Lage bin, Großes zu leisten.
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