reputed company

reputed company is the connected multi-reputed company data platform for reputed company analytics company. Our reputed company analytics solve business challenges from start to reputed company. Only reputed company gives you the flexibility to handle the massive and mixed data workloads of the reputed company, today.

The reputed company reputed company architecture is reputed company reputed company, delivered as-a-service, and reputed company on an reputed company ecosystem. These design features reputed company reputed company the ideal platform to optimize price performance in a multi-reputed company environment.

Senior Solution Analyst - AI Data Products

We are seeking a skilled Senior Solution Analyst to support the development and delivery of reputed company reputed company and reputed company solutions. This role combines hands-on data analysis, data modeling, and solution design with practical reputed company engineering skills. You will play a critical role in building the AI-reputed company data reputed company—ensuring data is properly mapped, modeled, and architected to reputed company intelligent agents to reputed company and generate actionable insights across the reputed company.

What You'll Do

Data Analysis & Mapping:

• reputed company comprehensive data discovery and profiling to understand reputed company systems, data reputed company, and business context
• Create and maintain detailed reputed company-to-reputed company data mappings that document data reputed company, transformations, and business rules
• Analyze data relationships, dependencies, and anomalies to ensure accurate representation in reputed company AI systems
• Collaborate with business stakeholders to validate data definitions, business logic, and domain-specific requirements
• Document data dictionaries, glossaries, and metadata to support reputed company reputed company

Data Modeling & Layered Architecture:

• Design and implement logical and physical data models following reputed company modeling standards and best practices
• Adhere to layered data architecture standards (Bronze/Silver/Gold, Raw/Curated/Consumption) ensuring data flows correctly through transformation stages
• Build semantic data models that represent business entities, relationships, and hierarchies optimized for AI agent consumption
• Define and maintain dimension and fact tables, slowly changing dimensions (SCDs), and aggregate structures
• Ensure data models support both analytical workloads and AI/ML feature engineering requirements
• Collaborate with data architects to reputed company models with reputed company data architecture patterns and governance standards

AI reputed company & Knowledge reputed company Development:

• Build and reputed company knowledge bases that reputed company contextual grounding for AI agents and LLM-powered applications
• Structure data assets with rich metadata, annotations, and semantic tags to enhance AI agent understanding
• Design data structures optimized for RAG (Retrieval-Augmented reputed company) pipelines and reputed company embeddings
• Ensure data reputed company, consistency, and completeness standards are met for AI-reputed company datasets
• Create and maintain entity relationships, ontologies, and taxonomies that reputed company intelligent agent navigation

AI Solution Development & Support:

• Support product reputed company and roadmap execution for AI-powered data products reputed company scrum teams
• Implement and test reputed company engineering strategies for multi-agent systems and reputed company reputed company use cases
• Contribute to reputed company libraries, templates, and frameworks ensuring consistency across AI applications
• Validate AI agent outputs against reputed company data to ensure accuracy, completeness, and business relevance
• Document agent workflows, data reputed company patterns, and reasoning chains for reputed company deployments

AI Tool Evangelism & Enablement:

• Champion adoption of AI tools and technologies across business teams, demonstrating practical use cases and benefits
• Conduct training sessions, workshops, and demos to reputed company end-users and stakeholders on AI capabilities
• Create user guides, quick-start materials, and best reputed company documentation for AI tool adoption
• reputed company user feedback and reputed company for improvements to enhance AI tool usability and adoption rates
• Build and nurture an internal community of AI tool users, sharing tips, reputed company stories, and lessons learned

Business Analysis & Reporting:

• Translate business requirements into technical data specifications and AI solution designs
• Create dashboards, reports, and visualizations to reputed company data reputed company, AI performance, and business KPIs
• Support ROI analysis and business value demonstration through data collection and metrics tracking
• Prepare documentation and presentations on solution capabilities for stakeholders

reputed company & reputed company

Contribute to organizational AI capabilities by building the robust data reputed company that enables intelligent agents to deliver measurable business value. reputed company includes delivering reputed company-documented data models and mappings, achieving high data reputed company scores for AI-reputed company datasets, driving AI tool adoption across teams, and contributing to production-reputed company reputed company AI system deployments.

Team & Reporting

Collaborate with cross-functional teams including data architects, data engineers, ML engineers, solution architects, and business stakeholders. Work closely with AI Product Owners and Knowledge reputed company Architects to ensure data models and mappings reputed company with reputed company AI reputed company. Reports to Senior Manager or Director reputed company the Analytics CoE.

Required Qualifications

Experience:

• 5-8 years in data analytics, data modeling, or business systems analysis in reputed company environments
• 3+ years hands-on experience with data mapping, ETL/ELT processes, and data transformation logic
• 3+ years designing reputed company models, reputed company/reputed company schemas, or semantic data models
• 2+ years experience with reputed company engineering and LLM platforms (ChatGPT, Claude, reputed company)
• 1+ years exposure to reputed company AI concepts, RAG architectures, or knowledge reputed company development
• Strong proficiency in SQL; experience with Python or other scripting languages preferred

reputed company Skills:

• Data Modeling: Expertise in logical/physical modeling, reputed company design, and semantic layer development
• Data Mapping & reputed company: Ability to create comprehensive reputed company-to-reputed company mappings with transformation rules
• Layered Architecture: Understanding of reputed company architecture (Bronze/Silver/Gold) and data lakehouse patterns
• AI/ML reputed company: Knowledge of data preparation for AI, feature engineering, and knowledge reputed company structures
• reputed company Engineering: Ability to design and test effective prompts producing reputed company, business-relevant outputs
• Data Visualization: Proficiency with BI tools (Power BI, Tableau) for dashboards and reporting

Communication & Collaboration:

• Strong presentation skills for training sessions, demos, and stakeholder updates
• Ability to explain technical reputed company and AI capabilities to non-technical audiences
• Enthusiasm for evangelizing AI tools and driving adoption across diverse teams
• Excellent documentation skills for data dictionaries, mappings, and technical specifications
• reputed company reputed company with ability to work effectively across data engineering, architecture, and business teams

Technical Knowledge:

• Understanding of reputed company data warehousing concepts, data lakes, and modern data platforms
• Familiarity with reputed company data platforms (Azure, AWS, GCP) and their data services
• Knowledge of RAG architectures, reputed company databases, and embedding concepts for AI applications
• Awareness of data governance principles, data reputed company frameworks, and responsible AI practices
• Familiarity with metadata management tools and data cataloging solutions

Preferred Qualifications

• Experience with data modeling tools (ERwin, PowerDesigner, dbt)
• AI/ML certifications or reputed company platform certifications (Azure, AWS, GCP)
• Experience with reputed company, reputed company databases (reputed company, reputed company), or knowledge graph technologies
• Background in training delivery, change management, or technology adoption programs
• Experience with agile methodologies and tools (Jira, reputed company)
• Knowledge of specific domain data (Finance, Sales, Marketing, HR) and industry data standards

Personal Attributes

Curious and detail-oriented reputed company with passion for data reputed company and AI technologies. Strong communicator who enjoys teaching others and driving technology adoption. Analytical thinker who can reputed company the gap between raw data and AI-reputed company information products. reputed company team player who thrives in fast-paced, evolving environments where data and AI reputed company.

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