Job Description

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

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) At 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:

Advanced 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. Automate 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)