Senior Incident Response Analyst and Data Quality Analyst/Developer

Senior
💰$122–207K
🇺🇸 United States
💰Equity
Data science & Analytics

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.

Requirements

  • Minimum of 5 years of experience in incident management, data analysis, or a related field.
  • Proven experience in identifying and resolving incidents.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Experience with data analysis tools and techniques (SQL, data visualization tools).
  • Experience with Snowflake, PowerBI and Tableau.
  • Experience with ITIL, ITSM is a plus.
  • Ability to work independently and as part of a team.
  • Familiarity with scripting languages (Python, Bash) a plus.

This role is ideal for a candidate who enjoys a challenge and thrives in a fast-paced environment. You will have the opportunity to make a significant impact on the organization's ability to respond to incidents, maintain high-quality data, and continuously improve its infrastructure.

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For positions in the Bay Area, we offer a base pay of $121,500 - $206,500, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

 

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