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Data Scientist - Business Intelligence (Decision Science Focus)
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Keysight Technologies
Colorado Springs, CO (In Person)
$164,830 Salary, Full-Time
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Job Description
Data Scientist - Business Intelligence (Decision Science Focus) Keysight Technologies paid holidays, tuition reimbursement, flex time, 401(k) United States, Colorado, Colorado Springs May 26, 2026
Overview Keysightis at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn moreabout what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions.
We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Own end-to-end BI solutions, including data modeling, pipelines, semantic layers, and reporting using Microsoft Fabric, Power BI, and Snowflake Design and deliver high-impact dashboards and self-service analytics that serve as the single source of truth for business performance across stakeholders Partner with product managers, finance, and operations as a decision advisor, translating business questions into structured analytical approaches Integrate and analyze data from enterprise systems such as Salesforce, ERP platforms, and other internal and external sources to create unified business views Perform deep-dive analysis to identify drivers of revenue, growth, margin, and product adoption Identify business inflection points, risks, and opportunities, and communicate clear recommendations Define and standardize KPIs, metrics, and data definitions to align teams on a consistent view of performance Improve data quality, governance, and consistency across the BI ecosystem Translate complex analysis into clear, compelling business narratives for technical and non-technical audiences Apply AI and generative AI tools - including AI capabilities within Microsoft Fabric, Power BI, and Snowflake - to accelerate exploratory analysis, surface patterns at scale, and enhance the quality of business narratives delivered to stakeholders Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or a related field 2-5 years of experience in business intelligence, analytics, or applied data science, with demonstrated ability to independently drive projects and influence stakeholders Advanced proficiency in Power BI, including data modeling, DAX, and dashboard development Experience with modern data platforms such as Microsoft Fabric, Snowflake, Azure Synapse, Databricks, or equivalent Strong SQL skills for complex data extraction, transformation, and integration Solid understanding of data modeling concepts (e.g., star schema, semantic models) and BI architecture best practices Strong business acumen, including understanding of revenue drivers, funnel metrics, customer segmentation, and product performance Ability to translate data into actionable insights and communicate effectively with business stakeholders Preferred Qualifications Experience with Python for data analysis Familiarity with data pipeline and ETL/ELT tools Experience optimizing large-scale datasets and dashboard performance Experience working with Salesforce or similar CRM systems, including pipeline or funnel analytics Understanding of statistical methods and their application in business contexts Familiarity with AI/ML concepts and tools, including generative AI for analytics workflows; experience building predictive models or applying machine learning to business problems is a plus Visa sponsorship is not available for this role. Most offers will be between the minimum and the midpoint of the Salary Range listed above. MIN $79,860.00 - MAX $164,830.00
We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Own end-to-end BI solutions, including data modeling, pipelines, semantic layers, and reporting using Microsoft Fabric, Power BI, and Snowflake Design and deliver high-impact dashboards and self-service analytics that serve as the single source of truth for business performance across stakeholders Partner with product managers, finance, and operations as a decision advisor, translating business questions into structured analytical approaches Integrate and analyze data from enterprise systems such as Salesforce, ERP platforms, and other internal and external sources to create unified business views Perform deep-dive analysis to identify drivers of revenue, growth, margin, and product adoption Identify business inflection points, risks, and opportunities, and communicate clear recommendations Define and standardize KPIs, metrics, and data definitions to align teams on a consistent view of performance Improve data quality, governance, and consistency across the BI ecosystem Translate complex analysis into clear, compelling business narratives for technical and non-technical audiences Apply AI and generative AI tools - including AI capabilities within Microsoft Fabric, Power BI, and Snowflake - to accelerate exploratory analysis, surface patterns at scale, and enhance the quality of business narratives delivered to stakeholders Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Business Analytics, or a related field 2-5 years of experience in business intelligence, analytics, or applied data science, with demonstrated ability to independently drive projects and influence stakeholders Advanced proficiency in Power BI, including data modeling, DAX, and dashboard development Experience with modern data platforms such as Microsoft Fabric, Snowflake, Azure Synapse, Databricks, or equivalent Strong SQL skills for complex data extraction, transformation, and integration Solid understanding of data modeling concepts (e.g., star schema, semantic models) and BI architecture best practices Strong business acumen, including understanding of revenue drivers, funnel metrics, customer segmentation, and product performance Ability to translate data into actionable insights and communicate effectively with business stakeholders Preferred Qualifications Experience with Python for data analysis Familiarity with data pipeline and ETL/ELT tools Experience optimizing large-scale datasets and dashboard performance Experience working with Salesforce or similar CRM systems, including pipeline or funnel analytics Understanding of statistical methods and their application in business contexts Familiarity with AI/ML concepts and tools, including generative AI for analytics workflows; experience building predictive models or applying machine learning to business problems is a plus Visa sponsorship is not available for this role. Most offers will be between the minimum and the midpoint of the Salary Range listed above. MIN $79,860.00 - MAX $164,830.00