Senior Data Analytics, Data Modelling Specialist

Nagarro

. Analyse complex real-world datasets and design governed entity models based on entities, properties, relationships, cardinality, grain, and underlying data structures .

Posted 9/22/2026full-timeRemote • Pennsylvania • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in data modelling, data governance, and translating business requirements into governed entity models, with a strong focus on data quality and profiling. Proficient in collaborating with cross-functional teams to ensure data platform capabilities meet business needs in the Pharmaceutical or Life Sciences domain.

Highest-signal resume keywords

Data ModellingData GovernanceData ProfilingYAML Configuration ManagementPharmaceutical Domain Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsData EngineeringData MappingData Quality AssessmentGap AnalysisEntity RelationshipsCardinalityData StructuresGoverned Entity ModelsData Requirements Translation

Tools & Technologies

Command-Line ToolsCollibraYAML

Industry Keywords

PharmaceuticalLife SciencesData Governance ProcessesMetadataData LineageQuality Standards

About the role

Key responsibilities & impact

Analyse complex real-world datasets and design governed entity models based on entities, properties, relationships, cardinality, grain, and underlying data structures
Translate business requirements and real-world use cases into clear data requirements and governed data models
Represent the demand side of the data platform, ensuring platform capabilities address genuine business needs and analytical use cases
Perform data profiling, data mapping, data quality assessments, and gap analyses
Identify data issues, inconsistencies, and improvement opportunities
Collaborate with data governance teams on data ownership, business definitions, metadata, lineage, quality standards, and governance processes
Work with engineering teams to translate conceptual and business requirements into technically viable solutions using command-line tools and YAML-based configuration management
Contribute to the evolution of the organisation's data platform and modelling standards

Requirements

What you’ll need

8+ years' experience in Data Analytics or Data Engineering
Proven expertise in data modelling, data governance, and translating business requirements into governed entity models
Experience with data profiling, mapping, quality assessment, and gap analysis
Strong understanding of entity relationships, cardinality, grain, and data structures
Ability to convert real datasets into governed entity model instances
Experience collaborating with data governance teams on data ownership, definitions, metadata, lineage, quality standards, and governance processes
Pharmaceutical or Life Sciences domain experience with understanding of business processes and data requirements
Comfortable with command-line tools and YAML for configuration management
Experience with data governance platforms such as Collibra is advantageous

Benefits

Comp & perks

Employees can work remotely
Dynamic and non-hierarchical work culture
Opportunity to work with international teams across 39 countries