Job Title : Data Analysis Architect
Duration : 6 Months
Location : Trenton, NJ
Worksite Flexibility : Hybrid
Employment Type : Full time
Note :
- Location (if onsite / hybrid) : Candidates must be local to Trenton, NJ and be willing to go onsite to client office three times per week.
- Interview process : 2 interviews with Client - 1 virtual technical interview, and 1 onsite interview-must be local.
- Required skills, experience, etc. : 10+ years of experience with data architecture or systems planning, experience with grant management systems (Sage / Agate), designing practical solutions using existing systems, advanced knowledge of data integration and analytics tools, experience in public sector or healthcare related data architecture.
Job Description
We are looking for Data Analysis Architect to conduct requirements analysis and oversee data management for the Sage and Agate Grant Management systems. This position will be full-time contract and hybrid requiring three days per week in office in Trenton, New Jersey.
What You'll Do :
Partner with stakeholders to understand business needs and current data challengesConduct analysis to identify gaps and opportunities in existing data systemsDevelop clear plans and roadmaps for improving data management and integrationOversee project timelines, deliverables, and scope to ensure successful outcomesTranslate complex ideas into accessible concepts for non-technical audiencesSupport decision-making by providing insights and recommendations based on data analysisEnsure that proposed solutions align with organizational goals and existing systemsWhat You'll Need
Required :
Experience with grant management systems (Sage / Agate)At least 10 years of experience in a data architecture or systems planning roleStrong ability to engage with stakeholders and lead collaborative discussionsProven track record of designing practical solutions using existing systemsComfortable working with data concepts and systems, with a focus on strategy and planningExcellent communication and organizational skillsPreferred :
Advanced knowledge of data integration and analytics toolsExperience in public sector or healthcare-related data architecture.