About Company
Intel (Nasdaq: INTC) is a world leader in the design and manufacturing of essential technologies that serve as the foundation for the world’s computing devices. With a relentless focus on innovation, we are pushing the boundaries of technology to create incredible experiences for our customers. From the cloud to the network to the edge and every kind of computing device in between, we are committed to building a better future through data-centric computing. Our culture thrives on collaboration, challenging the status quo, and empowering our employees to make a significant impact. Join Intel in Colorado Springs, where you’ll be part of a pioneering team dedicated to solving complex problems and driving technological advancements, contributing to a legacy of innovation.
Job Description
Intel Corp is seeking a highly motivated and analytical Data Analyst to join our dynamic team in Colorado Springs, Colorado. This is an an urgent hiring for a role critical to our continued innovation and operational excellence. As an Intel Data Analyst, you will play a pivotal role in transforming raw, complex data into actionable insights, driving strategic decisions across various facets of our operations, from engineering and manufacturing to sales and marketing. You will be instrumental in the end-to-end data lifecycle, including data collection, cleansing, processing, and performing rigorous statistical and quantitative analyses on large, diverse datasets. A key aspect of this role involves translating intricate data findings into clear, concise, and compelling presentations, dashboards, and reports for both technical and non-technical stakeholders, empowering informed decision-making at all levels.
Your work will directly influence critical areas such as product development lifecycles, operational efficiency enhancements, market trend identification, and strategic business initiatives, contributing significantly to Intel’s mission of creating world-changing technology. We are looking for an individual who possesses a deep intellectual curiosity for data, an unwavering meticulous attention to detail, and a profound passion for leveraging advanced analytics to uncover hidden opportunities, identify risks, and solve challenging, real-world problems. You will thrive in a collaborative environment, working closely with cross-functional teams including software engineers, product managers, business development specialists, and senior leadership.
You will utilize a wide array of cutting-edge tools and techniques to build robust data models, develop interactive and insightful dashboards, automate reporting processes, and conduct ad-hoc analyses that respond to immediate business needs. This is an exciting opportunity to immerse yourself in a fast-paced, high-tech environment where your analytical prowess and strategic insights will have a tangible and far-reaching impact on global technology. If you are a proactive, self-driven problem-solver with a strong analytical mindset, excellent communication skills, and are eager to contribute your expertise to a world-renowned technology leader, we strongly encourage you to apply and become a part of our pioneering team. Join us in shaping the future of computing.
Key Responsibilities
- Collect, clean, and process large, complex datasets from various sources to ensure data quality and integrity.
- Perform in-depth statistical analysis, data mining, and predictive modeling to identify trends, patterns, and insights.
- Develop and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to present key findings.
- Translate complex data findings into clear, actionable recommendations for technical and non-technical audiences.
- Collaborate with cross-functional teams (engineering, product, sales) to understand business requirements and deliver relevant analytical solutions.
- Automate data extraction, transformation, and loading (ETL) processes to improve efficiency and reliability.
- Monitor and evaluate data performance, identifying areas for improvement and optimization of data pipelines.
- Support data-driven decision-making processes by providing timely and accurate analyses and strategic recommendations.
- Stay current with industry best practices, new technologies, and trends in data analysis and business intelligence.
Required Skills
- Proficiency in SQL for complex data extraction and manipulation.
- Strong experience with data visualization tools such as Tableau, Power BI, or similar.
- Expertise in statistical analysis, hypothesis testing, and data modeling techniques.
- Advanced proficiency in Excel for data analysis, pivot tables, and reporting.
- Solid understanding of data warehousing concepts and ETL processes.
- Excellent problem-solving, analytical, and critical thinking abilities.
- Strong written and verbal communication skills, with the ability to present complex data clearly and concisely.
- Proven experience manipulating and analyzing complex, high-volume data from varying sources.
Preferred Qualifications
- Master's degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Business Analytics).
- Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
- Experience working in a large-scale enterprise environment with global teams.
- Knowledge of semiconductor industry data and business processes.
- Proficiency in Python or R for advanced data analysis and scripting.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement plan with company match.
- Stock purchase plan and equity opportunities.
- Generous paid time off, including holidays and vacation.
- Employee assistance programs and wellness initiatives.
- Opportunities for professional development, training, and career advancement.
- On-site fitness centers, cafes, and other amenities (where applicable).
- Dynamic and collaborative work environment with cutting-edge technology.
- Relocation assistance for eligible candidates.
How to Apply
Interested candidates are invited to submit their detailed resume and a cover letter outlining their qualifications and experience relevant to this role. Please ensure your application highlights your proficiency in data analysis, SQL, and data visualization tools. Click on the application link below to apply directly through the Intel Careers portal. We look forward to reviewing your application and potentially welcoming you to our Colorado Springs team!