Data Analysis Architect

Job Tile: Data Analysis Architect
Location: Trenton, NJ
Duration: 6 months


**Hybrid onsite-three times per week**
**MUST BE LOCAL**
**Interview process: 2 interviews with Client - 1 virtual technical interview, and 1 onsite interview**



Job Description
We are looking for a 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 challenges
• Conduct analysis to identify gaps and opportunities in existing data systems
• Develop clear plans and roadmaps for improving data management and integration
• Oversee project timelines, deliverables, and scope to ensure successful outcomes
• Translate complex ideas into accessible concepts for non-technical audiences
• Support decision-making by providing insights and recommendations based on data analysis
• Ensure that proposed solutions align with organizational goals and existing systems

What You'll Need
Required:

• Experience with grant management systems (Sage/Agate)
• t least 10 years of experience in a data architecture or systems planning role
• Strong ability to engage with stakeholders and lead collaborative discussions
• Proven track record of designing practical solutions using existing systems
• Comfortable working with data concepts and systems, with a focus on strategy and planning
• Excellent communication and organizational skills

Preferred:

• dvanced knowledge of data integration and analytics tools
• Experience in public sector or healthcare-related data architecture

Required skills, experience, etc.:

• Lead requirements gathering and translate business needs into clear data architecture strategies.
• Design and oversee backend data structures, including form creation and data flow management.
• Conduct in-depth analysis of backend data management processes to identify gaps and optimize performance.
• Manage and maintain document repositories; ensure data integrity and accessibility.
• Utilize AWS services to manage data links and support secure, scalable data solutions.
• Perform advanced data analysis, including fiscal year longitudinal trends, and deliver actionable insights.
• utomate manual processes currently tracked via CSV and spreadsheets; design and implement future-state reporting solutions.
• Collaborate with vendors and internal teams to define and execute reporting automation strategies.
• Work with ICD codes, tech files, SaaS platforms, and run complex queries to support data-driven decision-making (Nice to have)
• Ensure all solutions align with organizational goals and integrate seamlessly with existing systems (Nice to have)