Data Insights Analyst

Requirements

• 5+ years of relevant technical or business work experience
• Demonstrated ability to analyze, interpret and present data
• Ability to make decisions and solve problems under pressure
• Proven ability to prioritize and organize effectively
• Proficiency in advanced analytics processes and reporting design principles
• Proficiency in SQL, Python or R
• Understanding of design and implementation practices within data visualization tools
• Effective verbal and written communication skills for internal and external customers
• #LI-JV1
• CSU385 2026-76377 2026
• Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.
• A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.

Additional Information

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Looking to influence strategic decisions and drive company performance? In this role, you'll transform raw information into actionable recommendations that drive measurable results. By developing innovative analysis methods and leveraging existing data sources, you play a pivotal part in guiding Spectrum's success through meaningful analytics. How You'll Make an Impact Establish metrics, create data visualizations and outline ETL needs Extract, clean and engineer data for readiness and accuracy Interpret information, develop hypotheses and recommend analytical approaches Utilize advanced visualization tools to deliver customer-ready reports Present findings and recommendations through compelling visualizations and presentations Foster effective partnerships with cross functional teams What You'll Bring to Spectrum Required Qualifications Education Bachelor's degree in Statistics, Finance, Data Science, Computer Science, Engineering or related field or equivalent experience

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Company Intel

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