Negotiable
Outside
Remote
USA
Summary: The ServiceNow Data Analyst role requires a professional with a strong background in data analysis, particularly within the ServiceNow platform. The position emphasizes the importance of CMDB management and data hydration techniques, alongside proficiency in SQL and data visualization tools. Strong communication skills and the ability to interpret complex datasets are essential for effective collaboration with cross-functional teams.
Key Responsibilities:
- Analyze and manage data within the ServiceNow platform, focusing on CMDB management and data hydration techniques.
- Utilize reporting and performance analytics modules in ServiceNow to generate insights.
- Interpret complex datasets and present findings clearly and concisely.
- Collaborate with cross-Data teams to facilitate effective communication and problem-solving.
Key Skills:
- Bachelor's degree in Information Technology, Computer Science, Data Analytics, or a related discipline.
- Demonstrable experience as a Data Analyst, preferably with substantive exposure to the ServiceNow platform.
- Comprehensive knowledge of ServiceNow, including its reporting and performance analytics modules.
- Proficiency in SQL, Microsoft Excel, and data visualization tools such as Power BI or Tableau.
- Exceptional problem-solving and analytical acumen.
- Strong communication and interpersonal skills.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
- Bachelor's degree in Information Technology, Computer Science, Data Analytics, or a related discipline.
- Demonstrable experience as a Data Analyst, preferably with substantive exposure to the ServiceNow platform, CMDB management, and data hydration techniques.
- Comprehensive knowledge of ServiceNow, including its reporting and performance analytics modules, as well as deep familiarity with CMDB structures and processes.
- Proficiency in SQL, Microsoft Excel, and data visualization tools such as Power BI or Tableau.
- Capability to interpret complex datasets and present findings in a logical and concise format.
- Exceptional problem-solving and analytical acumen.
- Strong communication and interpersonal skills to facilitate effective collaboration with cross-Data teams.