Senior Incident Response Analyst And Data Quality Analyst/Developer

Job Description
We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.
Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them.
We are seeking a highly motivated and skilled individual to fill a unique role focused on both incident management and data quality. You will be responsible for tackling critical issues that impact our systems and data, ensuring smooth operations and reliable information.
Responsibilities:
Incident Management:
Respond to reported incidents, including data quality issues.
Lead the identification of the root cause of incidents and initiate resolution procedures.
Prioritize incidents based on urgency and business impact.
Oversee the incident resolution process from detection to closure.
Document incidents and resolutions for future reference.
Analyze incident trends to develop proactive prevention strategies.
Contribute to the development and maintenance of incident response protocols.
Communicate effectively with stakeholders throughout the incident lifecycle.
Data Quality Analysis:
Analyze data quality metrics to identify data discrepancies and errors.
Develop and implement data cleansing and correction procedures.
Design and implement data quality monitoring processes to proactively identify potential issues.
Investigate the root cause of data quality problems.
Collaborate with data owners and stakeholders to improve data quality standards.
Report on data quality trends and insights to management.
Data Development (as needed):
Develop and maintain scripts or tools to automate data quality checks and incident response tasks.
Explore opportunities to improve data pipelines and infrastructure to prevent future incidents.