Sr Data Informatics Analyst

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

What you get to do in this role:

• Develop interactive data visualizations that enable business insights; work with business stakeholders to tease out the best stories to tell from a given dataset
• Build scalable analytical framework to monitor data quality supporting analytics organization (Sales Analytics, Finance Analytics, Marketing Analytics, Product, and Talent Analytics)
• Work with several data teams to deploy data quality across pipelines and to set up processes to evaluate data issues
• Create and guide data quality standards and frameworks to ensure inclusion into telemetry
• Create reporting functions to measure data quality for data assets
• Communicate data quality insights and drive projects to improve data quality
• Look for data quality opportunities to promote a data quality mindset across ServiceNow
  
  

Qualifications

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• BA/BS in Mathematics, Statistics, Computer Science, Economics, Business or analytical field
• 5+ years of SQL experience including 3+ years' experience delivering insights on data quality for high scale data processes
• Deep experience in data visualization and reporting using open source libraries/packages and third-party tools (Tableau or similar)
• Statistical background
• Experience in machine learning especially in data quality applications a plus
  
  

FD21

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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