Sr. Analyst, Programming - Cloud BI United Rentals
Stamford, CT7 days ago
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Skills
- Analysis Skillsunmatched
- Best Practicesunmatched
- Biologyunmatched
- Chemistryunmatched
- Communication Skillsunmatched
- Data Analysisunmatched
- Data Modelingunmatched
- Data Qualityunmatched
- Detail Orientedunmatched
- Documentation Modelsunmatched
- Fitnessunmatched
- Information Architectureunmatched
- Information Assetsunmatched
- Information Modelsunmatched
- Information Technology & Information Systemsunmatched
- Machine Toolunmatched
- Metadataunmatched
- Model Validationunmatched
- Problem Solving Skillsunmatched
- Quality Managementunmatched
- Research & Development (R&D)unmatched
- Root Cause Analysisunmatched
- Standards Developmentunmatched
- Stewardshipunmatched
- Support Documentationunmatched
- Taxonomiesunmatched
- Team Playerunmatched
- Usability Engineeringunmatched
- Use Casesunmatched
Description
Data Modeler
Key Responsibilities:
Key Responsibilities:
- Develop and maintain conceptual and logical information models for scientific and business domains relevant to R&D and Development.
- Translate business, scientific, and operational requirements into clear information structures, definitions, and business rules.
- Support the definition and application of information architecture frameworks, standards, and best practices across relevant domains.
- Help ensure information assets are designed to be reusable, scalable, and aligned to business and scientific needs.
- Contribute to the creation and maintenance of data dictionaries, glossaries, naming standards, controlled vocabularies, and taxonomies.
- Profile and analyze source data to understand quality, completeness, context, and usability.
- Identify gaps, inconsistencies, missing metadata, and alignment issues across data sources.
- Assess the fitness of source data for intended use cases and downstream consumption.
- Summarize findings from data exploration and recommend pragmatic remediation or standardization actions.
- Support root-cause analysis of data quality and information consistency issues.
- Partner with scientists, subject matter experts, business stakeholders, and IT teams to understand workflows, priorities, and information needs.
- Work collaboratively with data engineers, architects, and platform teams to ensure models and standards are implementable.
- Facilitate workshops and review sessions to validate models, standards, and requirements.
- Communicate clearly with technical and non-technical audiences, including documentation of models, diagrams, findings, and recommendations.
- Act as a connector between scientific users and technical implementation teams.
- Contribute to the development and maintenance of information quality rules and governance-aligned standards.
- Support documentation and stewardship of information architecture deliverables.
- Help enable reuse through clear definitions, standards, and supporting guidance.
- Promote consistent application of FAIR principles and GxP-aware practices where relevant.
- Identify opportunities to improve tooling, methods, and ways of working related to information architecture.
- Strong scientific background, preferably in Chemistry, Biology, or another scientific field related discipline
- Demonstrated advanced problem-solving and analytical skills.
- Experience working with or within IT teams in a collaborative environment.
- Strong communication skills, with the ability to work effectively across scientific, business, and technical audiences.
- Proven ability to manage ambiguity, think structurally, and learn new methods quickly.
- Strong attention to detail and commitment to quality.
- Ability and willingness to learn information architecture, data modeling, metadata, and data standards.
Numbers & Facts
| Location | WestPoint, PA |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |