Sr. Data Analyst at RIT Solutions, Inc. in Stamford, CT
- Company: RIT Solutions, Inc.
- Location: Stamford, CT
- Posted: Sep 18, 2026
- Type: Contract
- Experience: 7+ years
Overview
Sr. Data Analyst Location: NYC Hybrid/Remote/Onsite: Remote | Due to occasional client travel candidates must be in NY, NJ, CT, or PA. Duration: 6 month renewable Contract We are seeking a Senior Data Analyst – AI Enablement to support enterprise data strategy and architecture initiatives focused on…
Job description
- Sr. Data Analyst
- Location: NYC
- Hybrid/Remote/Onsite: Remote | Due to occasional client travel candidates must be in NY, NJ, CT, or PA.
- Duration: 6 month renewable Contract
- We are seeking a Senior Data Analyst – AI Enablement to support enterprise data strategy and architecture initiatives focused on enabling AI and agentic capabilities. This role will analyze current-state data environments, identify capability gaps and dependencies, define future-state requirements, and support development of data transformation roadmaps.
- The ideal candidate combines strong data analysis skills with an understanding of enterprise data architecture, modern data platforms, and the data capabilities required to support AI solutions.
Responsibilities
- Assess current-state data architecture, platforms, data flows, and data ecosystems.
- Document data capabilities, gaps, dependencies, and improvement opportunities.
- Analyze metadata, Master Data Management (MDM), data access, APIs, and integration capabilities.
- Evaluate cloud and enterprise data platforms supporting AI use cases.
- Define data and architecture requirements for AI and agentic solutions.
- Perform capability mapping and dependency analysis across data platforms and systems.
- Translate business and technology needs into clear data requirements.
- Support future-state data architecture and capability planning.
- Develop recommendations, priorities, and roadmaps for data modernization and AI enablement.
- Synthesize complex findings into clear documentation and executive-ready materials.
- Collaborate with data architects, AI teams, technology leaders, and business stakeholders.
Requirements
- 7+ years of experience in data analysis, data strategy, data architecture, or related roles.
- Strong understanding of enterprise data strategy and data architecture.
- Experience performing current-state assessments and documenting complex data environments.
- Strong knowledge of data flows, data integration, APIs, metadata, and MDM.
- Experience with cloud data platforms and modern data architectures.
- Understanding of data requirements supporting AI, GenAI, or agentic AI solutions.
- Experience with capability mapping, gap analysis, and dependency analysis.
- Strong requirements gathering and documentation skills.
- Experience contributing to future-state roadmaps and transformation initiatives.
- Strong analytical skills with the ability to structure, synthesize, and communicate complex information.
- Excellent stakeholder communication and presentation skills.
- Financial services experience.
- Experience supporting enterprise data transformation or modernization programs.
- Familiarity with data governance, data quality, lineage, and data access frameworks.
- Exposure to AI/GenAI data architecture or enterprise AI enablement initiatives.
Skills
Required
- Strong analytical skills
- Data analysis
- Data strategy
- Data architecture
- Data flows
- Data integration
- APIs
- Metadata
- Master Data Management (MDM)
- Cloud data platforms
- Modern data architectures
- AI/GenAI/agentic AI solutions