ZipRecruiter

Log In

Keysight Technologies
Keysight Technologies

60 Keysight Technologies Data Jobs Hiring Near You

next page

Showing results 1-20

All JobsKeysight Technologies Data Jobs

Keysight Technologies Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What is it like to work at Keysight Technologies?

Keysight Technologies is a collaborative and innovative company that prioritizes employee growth and development, fostering a culture of teamwork and open communication.

The company's structure is organized into various teams, including research and development, sales, and customer support, allowing employees to work on diverse projects and contribute to the advancement of electronic design and test technologies. Keysight's global presence and commitment to sustainability also provide opportunities for employees to work on projects with a significant impact on the environment and society.

Working at Keysight Technologies may appeal to candidates who are passionate about technology and innovation, as the company offers a dynamic work environment, opportunities for professional growth, and a chance to work on cutting-edge projects that shape the future of electronic design and test.

Do workers at Keysight Technologies get paid breaks?

Yes. Most people get paid breaks.
71% of people say they get paid breaks.
Based on data from 14 people who took the Breakroom Quiz between November 2024 and May 2026.

Does Keysight Technologies pay people when they’re sick?

Yes. Most people get paid when they’re sick.
71% of people say they would get paid if they were sick but scheduled to work.
Based on data from 17 people who took the Breakroom Quiz between November 2024 and May 2026.

Is the health insurance from Keysight Technologies affordable enough for their workers?

Most people say the health insurance costs are okay.
90% of people say the health insurance costs are okay
Based on data from 10 people who took the Breakroom Quiz between May 2025 and May 2026.

Do people get paid time off at Keysight Technologies?

Most people get paid time off work.
82% of people say they get paid time off.
Based on data from 11 people who took the Breakroom Quiz between June 2025 and May 2026.

How easy is it to get time off at Keysight Technologies?

Most people find it easy to get time off.
92% of people report it’s easy to get time off.
Based on data from 12 people who took the Breakroom Quiz between November 2024 and May 2026.

How easy is it to take sick days at Keysight Technologies?

Most people find it easy to take sick days.
93% of people report that it’s easy to take time off if they are sick.
Based on data from 14 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people at Keysight Technologies feel treated with respect by their managers?

Most people feel treated with respect by their managers.
87% of people say they’re treated with respect by their managers.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and April 2026.

Do people at Keysight Technologies get to take their breaks without interruption?

Most people get breaks without interruption.
94% of people report that they get to take their breaks without interruption.
Based on data from 16 people who took the Breakroom Quiz between November 2024 and May 2026.

Is it stressful to work at Keysight Technologies?

Some people feel stressed out here.
67% of people say they often feel stressed out at work.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people at Keysight Technologies enjoy their jobs?

Only some people enjoy their job.
38% of people report they don’t enjoy their job.
Based on data from 13 people who took the Breakroom Quiz between November 2024 and April 2026.

Do people at Keysight Technologies recommend working with their team?

Only some people recommend working with their team.
53% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 17 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people get enough training when they start at Keysight Technologies?

Most people got enough training when they started.
73% of people report they got enough training when they started working here.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and March 2026.

Do people get support to advance at Keysight Technologies?

Most people are given support to advance their career here.
In the last year, 73% of people report being given support to advance their career here.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people think Keysight Technologies’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
92% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 12 people who took the Breakroom Quiz between November 2024 and May 2026.

Do workers feel well informed about how Keysight Technologies is doing?

Only some people feel well informed about how the company is doing.
47% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and May 2026.
What are the most popular job types at Keysight Technologies?
    What are the most popular jobs at Keysight Technologies?
    What are the most popular categories at Keysight Technologies?
    Infographic showing various Data job openings at Keysight Technologies in the United States as of May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution.
    Data Scientist - Business Intelligence (Decision Science Focus)

    Data Scientist - Business Intelligence (Decision Science Focus)

    Keysight Technologies

    Colorado Springs, CO • On-site

    Full-time

    Posted 2 days ago

    Keysight Technologies rating

    7.6

    Company rating: 7.6 out of 10

    Based on 17 frontline employees who took The Breakroom Quiz

    66th of 137 rated electronics manufacturers

    Job description

    Job Summary:
    Keysight Technologies is at the forefront of technology innovation, delivering breakthroughs in electronic design and manufacturing. They are seeking a Data Scientist focused on Business Intelligence to own end-to-end BI solutions, design impactful dashboards, and partner with stakeholders to drive data-driven decision making.
    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:
    Required:
    • 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:
    • 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
    Company:
    Keysight Technologies is an electronic measurement company. Founded in 1939, the company is headquartered in Santa Rosa, USA, with a team of 10001+ employees. The company is currently Late Stage.

    What Keysight Technologies employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom

    Apply