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

THE OPPORTUNITY:

We are seeking a highly motivated and detail-oriented Sr Data Analyst to join our growing team. In this role, you will play a crucial part in transforming raw data into actionable insights that drive informed decision-making across the organization. You will be responsible for data collection, cleaning, analysis, and visualization using Microsoft Excel and Power BI.

QUALIFICATIONS:

• Bachelor’s degree in a data-related field (e.g., statistics, mathematics, computer science) or equivalent experience.
• Proven experience with data analysis using Microsoft Excel, including data manipulation, cleaning, and visualization techniques (PivotTables, charts, etc.).
• Working knowledge of Power BI, including data import, model creation, and report development.
• Strong attention to detail and accuracy.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.

PREFERRED QUALIFICATIONS:

• Experience with SQL queries for data extraction.
• Familiarity with other data analysis tools (e.g., Python, R)
  Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!
  Additional Information

• Assist senior analysts with data collection from various sources.
• Clean and prepare data for analysis by identifying and correcting inconsistencies, outliers, and missing values in Microsoft Excel.
• Perform exploratory data analysis to identify trends and patterns.
• Create clear and concise data visualizations using Power BI dashboards and reports.
• Communicate data insights effectively to both technical and non-technical audiences through presentations and reports.
• Stay up-to-date on emerging data analytics trends and technologies.
  Qualifications
  Qualifications