Senior Data Analyst

Connvertex Technologies Inc.

New York, NY, United States

6 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Compensation

$115,700.0 - $180,600.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Data Architecture Data Integration Document-Oriented Databases Meta-Data Management Cloud Services Data Streaming Cloud Platform System Data Strategy Data Management

Job description

Conduct comprehensive assessments of current-state data architecture, platforms, data flows, metadata management, and integration capabilities
Document data capabilities, gaps, dependencies, and improvement opportunities across enterprise systems
Analyze APIs, Master Data Management (MDM), data access controls, and cloud platform capabilities supporting AI use cases
Define data and architecture requirements for AI and agentic AI solutions, including capability mapping and dependency analysis
Develop future-state data architecture plans and modernization roadmaps with prioritized recommendations
Translate complex business and technology requirements into clear, actionable data strategy and documentation
Synthesize findings into executive-ready materials and present recommendations to senior stakeholders
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Requirements

Our client is seeking a Senior Data Analyst with 7-10 years of experience to assess and modernize their enterprise data architecture and ecosystems. This role will evaluate current-state capabilities, identify gaps and dependencies, and develop strategic recommendations to enable AI and agentic solutions across the organization., * 7-10 years of hands-on data analysis, data strategy, and enterprise data architecture experience

Proven expertise in current-state assessments, data flows, data integration, APIs, and metadata management
Strong knowledge of Master Data Management (MDM), cloud data platforms, and modern data architectures
Demonstrated experience evaluating AI/GenAI requirements and designing solutions for AI enablement
Excellent capability mapping, gap analysis, and dependency analysis skills
Advanced requirements gathering and technical documentation capabilities
Strong analytical, stakeholder communication, and presentation skills
Ability to work independently and collaborate effectively with cross-functional teams in a hybrid environment