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Agecareers
Fort Meade, MD
Source: Agecareers careers · View original posting
From Agecareers's posting. “We” and “our” refer to the employer.
AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future.
AGE Solutions is seeking a highly skilled and analytical
Senior Data Analyst - Subject Matter Expert (SME) to support enterprise-level data analytics, reporting, and customer experience initiatives within a complex IT Service Management (ITSM) environment. The ideal candidate will leverage advanced analytical techniques, data visualization, statistical modeling, and customer experience analytics to provide actionable insights that improve operational performance, service delivery, and customer satisfaction.
This role requires a strategic thinker with strong technical expertise, exceptional communication skills, and the ability to collaborate across technical and business teams to drive data-informed decision-making.
Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, or a related field.
Certified Analytics Professional (CAP), Microsoft Certified: Data Analyst Associate, or ITIL Foundation Certification
Certifications in Customer Experience Management and/or Data Science preferred
DoD Secret or Top Secret
8+ years of experience in data analysis, preferably supporting IT Service Management (ITSM) environments or related domains.
Proven experience working with ITSM platforms such as ServiceNow, BMC Remedy, or Cherwell.
Experience in customer experience analytics and customer journey mapping.
Demonstrated expertise with data visualization and business intelligence tools including Tableau, Power BI, or QlikView.
Strong experience with SQL and database management concepts.
Proficiency with analytical and statistical tools such as Python, R, or SAS.
Strong statistical analysis skills and familiarity with machine learning algorithms and predictive analytics techniques.
Advanced Microsoft Excel skills for data analysis, modeling, and reporting.
Familiarity with ITIL framework and ITSM best practices.
Experience with data warehousing concepts and ETL processes.
Strong analytical thinking, troubleshooting, and problem-solving abilities.
Ability to interpret complex datasets and translate findings into actionable business insights.
Excellent written and verbal communication skills with the ability to present technical information to non-technical audiences.
Demonstrated ability to work effectively in cross-functional and collaborative environments.
Strong attention to detail and commitment to data accuracy and integrity.
Experience briefing senior leadership and preparing executive-level reports and presentations.
Demonstrated ability to improve and innovate analytics processes and methodologies.
Understanding of regulatory compliance requirements and data privacy laws related to data handling and protection.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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