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About the Role

NN Life Japan is committed to empowering employees with data and analytics to accomplish more. The Data & Analytics Division supports business transformation through data engineering, data migration, data governance, data architecture, and documentation.

Responsibilities

Assist in reviewing data systems and documenting improvement opportunities.
Create and maintain data models, mappings, metadata, and data dictionaries under senior guidance.
Perform data preparation across Landing, Staging, and Refined zones on Azure-based data platforms.
Execute mapping, cleansing, reconciliation, and validation for data migration and MDM projects.
Prepare validation evidence, audit trails, issue logs, and quality-control documentation.
Support the development, testing, and monitoring of ETL/ELT pipelines using Databricks, Informatica, Python, and similar tools.
Maintain metadata, data catalogs, data quality records, MDM documentation, and data-sharing guidelines.
Collaborate with business SMEs, IT teams, and vendors to investigate and resolve data issues.
Use generative AI and other AI tools to classify, summarize, structure, and maintain technical and business documents while checking accuracy and confidentiality.

Requirements

Foundational knowledge or practical experience in data engineering, analytics, database development, or data management.
Basic understanding of relational databases, SQL, data modeling, and ETL/ELT concepts.
Hands-on experience with at least one programming or scripting language, preferably Python.
Experience organizing, maintaining, or improving technical and business documentation.
Experience using generative AI or other AI tools to summarize, classify, search, or structure documents.
Strong willingness to learn through hands-on work and take initiative on assigned tasks.
Effective business-level reading, writing, and basic communication skills in Japanese and English.
Collaborative mindset, respect for others, and attention to detail.
Exposure to Azure, Databricks, Informatica, or other ETL/ELT and cloud data tools.
Experience with Microsoft 365, SharePoint, Copilot, or similar tools for collaboration and AI-assisted document management.
Knowledge of Fivetran.
Familiarity with data quality, metadata, data catalogs, MDM, and structured or unstructured data.
Experience in insurance or financial services.
Interest in CI/CD, infrastructure as code, and continuous improvement.

Skills

Data engineering
Data analytics
Database development
Data management
SQL
Data modeling
ETL/ELT
Python
Generative AI
Azure
Databricks
Informatica
Microsoft 365
SharePoint
Copilot
Fivetran
Data quality
Metadata
Data catalogs
MDM
CI/CD
Infrastructure as code

Location

Tokyo Head Office

Work Type

Hybrid

Experience Level

Entry-level to Mid-level

About the Company

NN Life Japan is committed to empowering employees with data and analytics to accomplish more.
The Data & Analytics Division supports business transformation through data engineering, data migration, data governance, data architecture, and documentation.