The Role
Lead end-to-end cross-regional BI initiatives: architect and build ELT/ETL pipelines on Azure, design and govern Power BI semantic models and reports, implement Python automation and data quality frameworks, enforce CI/CD and governance, and partner with stakeholders to translate requirements into technical roadmaps and drive analytics adoption.
Summary Generated by Built In
Responsibilities:
- Lead end-to-end delivery
of cross-functional BI initiatives across Japan, US, and Europe, managing
scope, timelines, dependencies, and stakeholder expectations.
- Architect and build
scalable ELT/ETL pipelines using Azure Databricks (PySpark, Delta Lake),
Azure Data Factory, Synapse Analytics, and ADLS Gen2.
- Design and govern Power
BI semantic models, reports, and dashboards, enforcing DAX/M standards,
RLS, deployment pipelines, and UX guidelines.
- Develop Python-based
automation, data quality frameworks, and transformation scripts while
enforcing Git, code review, and testing best practices.
- Partner directly with
business stakeholders to translate requirements into technical roadmaps,
drive user adoption, and align analytics to measurable business outcomes.
- Define BI development
standards, testing/validation strategies, and support models to ensure
platform performance, security, and compliance.
Qualifications:
- 8+ years in BI/Analytics
Engineering (3+ yrs in a technical lead/senior role)
- Strong hands-on
experience: Azure Databricks, Power BI (DAX, Data Modeling, Deployment
Pipelines), Python, SQL
- Business-level Japanese
(JLPT N3+) and English (TOEIC700+), proven ability to communicate
effectively with stakeholders and technical audiences
- Solid understanding of
data architecture (dimensional modeling, medallion/data vault) & cloud
governance
- Bachelor’s/Master’s in
Computer Science, IT, Data Analytics, or related field
- Proven ability to thrive
in ambiguity, prioritize ruthlessly, and communicate clearly across
technical & business audiences
Nice to
Have:
- Microsoft Fabric, dbt,
or Azure certifications (DP-600, DP-203, AZ-900)
- Semiconductor,
manufacturing, or high-tech industry analytics experience
Skills Required
- 8+ years in BI/Analytics Engineering with 3+ years in a technical lead/senior role
- Hands-on experience with Azure Databricks (PySpark) and Delta Lake
- Experience with Azure Data Factory, Synapse Analytics, and ADLS Gen2
- Power BI development including DAX, data modeling, deployment pipelines, and RLS
- Proficient in Python and SQL for ETL/transformations and automation
- Familiarity with Git, code review, testing best practices and CI/CD
- Business-level Japanese (JLPT N3+) and English (TOEIC ~700+)
- Solid understanding of data architecture (dimensional modeling, medallion/data vault) and cloud governance
- Bachelor's or Master's in Computer Science, IT, Data Analytics, or related field
- Proven ability to manage ambiguity, prioritize, and communicate across technical and business audiences
- Experience defining BI standards, testing/validation strategies, and support models for platform performance and security
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The Company
What We Do
NexusCorp LLC (operating as Nexus Corporation) helps businesses achieve their goals through custom software development, IT consulting, statement-of-work delivery, contingent workforce and direct-hire solutions, and payroll services. It designs, builds, tests, and maintains scalable digital applications; analyzes systems to improve technology use; and supplies specialized professionals and structured project delivery. Its client-first approach emphasizes compliance, integrity, innovation, and tailored business outcomes.
