At Intel, we are committed to creating world-changing technology that enriches the lives of every person on earth. Our innovative solutions drive progress in computing, networking, and data analytics, empowering individuals and businesses to achieve more. As a leader in the tech industry, we foster a culture of collaboration, diversity, and inclusion, where every team member can thrive and contribute to our shared success.
We are seeking a highly skilled Senior Finance Data Modeler to join our Data and Reporting Center of Excellence (DARC). This pivotal role involves developing and optimizing data models within our Finance Analytics Environment (FAE), enabling Intel Finance and business partners to access critical financial data seamlessly. As a Senior Finance Data Modeler, you will collaborate with Intel IT and other stakeholders to drive innovation in financial reporting and analytics.
Key Responsibilities
Develop scalable and efficient data models to streamline the collection and analysis of key business metrics.
Translate complex business requirements into technical specifications for implementation by IT partners.
Communicate the impact of data models and analytics solutions to senior and executive leadership.
Collaborate with cross-functional teams, including Solution Architects, Scrum Masters, and Developers, to ensure seamless integration of financial analytics solutions.
Utilize advanced tools such as Power BI, DAX, and SQL to design and optimize financial reports and dashboards.
Stay abreast of industry trends and best practices to continuously enhance data modeling processes.
As a successful candidate, you must possess
Proficiency in data modeling, Power BI, SQL, and DAX (Data Analysis Expressions).
Strong analytical and problem-solving skills, with attention to detail.
Excellent communication skills, with advanced English proficiency.
Experience with Azure Analysis Services, SQL Server Analysis, and source control platforms such as GitHub or TFS.
Familiarity with corporate financial systems and processes, including ERP systems and costing practices.
If you are passionate about leveraging data to drive financial insights and eager to contribute to Intel's success, we invite you to apply for this exciting opportunity. Join us in shaping the future of financial analytics at Intel. Apply now through our careers page or reach out with any questions. We look forward to hearing from you!
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. This position is not eligible for Intel immigration sponsorship.
Minimum Qualifications:
Bachelor’s degree in finance, economics, business administration or a related field.
4+ years of relevant work experience in financial data modeling and analytics.
Preferred Qualifications:
3+ year of experience with: Data modeling for financial analytics solutions or with two or more of the following: Power BI, Power Query (M), DAX and SQL.
3+ years of experience in any of the following:
The Definitive Guide to DAX.
Azure Analysis Services, or SQL Server Analysis.
Experience using finance systems for forecast and close.
Experience with source control platforms such as GitHub or TFS.
Proficiency in Python and R.
Corporate Financial systems and processes, including Close processes, ERP systems, and costing practices.
Experience partnering with IT Departments (SAs, Scrum Masters, Developers).
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:
$115,840.00-226,690.00 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.
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.If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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