Senior Business Analyst
hace 5 días
We are honored to be recognized as a three-time winner of Consulting Magazine's Best Boutique Firms to Work For, and previously recognized as a "Best Place to Work" in Southern California and one of INC.'s 5000 fastest-growing private companies in the U.S.
We are looking for a high-energy Data and Business Analyst who is comfortable stepping away from the code to talk to the business. You will support three major AI initiatives, with a specific focus on the data groundwork required for a ServiceNow Software Asset Management (SAM) module implementation.
This is not a heavy engineering or development role. We need a Data and Business Analyst who is happy to handle the "less technical" but critical aspects of the job: hunting down data, manual data preparation, and cross-functional communication.
Ideal Profile: You are a Data Analyst by trade, but you operate like a Business Analyst. You understand data structure and quality, but you are equally comfortable picking up the phone to interview stakeholders or mapping out a process in Lucidchart. What You'll Do
- Data Collection and Cleansing: Collect and extract data from diverse sources such as Excel, SharePoint Lists, and shadow IT systems to support the SAM module and AI training pools.
- Source Data Validation: Apply quality assurance by validating datasets with ServiceNow import/export and analysis tools for accuracy, consistency, and completeness before platform ingestion.
- Shadow IT Data Capture: Identify, document, and collect data from shadow IT to ensure a full inventory for Application Portfolio Management and SAM.
- Application Cataloging: Define necessary metadata and attribute data to support initial application cataloging within the SAM module.
- Requirements Gathering: Lead targeted sessions with IT, Finance, and Asset Management stakeholders to establish business logic, compliance rules, and reporting needs for ServiceNow SAM.
- AI Ticketing Data Specification: Specify requirements for structure, volume, and quality of historical ticket data to train and validate the AI Ticketing Agent model.
- Data Flow and Mapping: Develop source-to-target mapping and transformation logic for data integration, ensuring new ServiceNow modules align with master data definitions.
- Platform Stabilization: Support the initial build-out and stabilization of new data platforms and transition processes to the internal team upon completion.
- Strong proficiency in Excel (for manual data prep) and Lucidchart (for diagrams).
- You must be able to operate at a fast pace. The team is tenacious and focused on getting things done, so being proactive and a bias to action.
- Experience with automation tools like Glean, Microsoft Copilot, ServiceNow App Engine, SharePoint Lists, Power Automate or similar would be highly desirable
- Experience with SQL/Power BI and other data tools could be useful but not essential.
- Experience with ServiceNow import/export and data profiling proficiency is highly desirable.
- Strong business process documentation and requirements writing capabilities.
- Ability to gather requirements and lead sessions with a variety of business stakeholders.
- Understanding of data attributes, relationships, and hygiene, even if you aren't writing complex code all day
- Excellent communication skills for documentation and knowledge transfer.
With CompassX's focus on serving local Southern California clients, consultants not only build lasting relationships but also see the results of their work in the communities where they live.
At CompassX, you won't just follow a path - you'll create one. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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