Job Specifications
This role provides data analysis and data discovery support for the Focus Data Team, partnering closely with data modelers, engineers, and business stakeholders. The primary responsibility is upfront analysis of source systems, articulation of data concepts and relationships, and ownership of source-to-target mapping (Raw to Curate / Bronze to Silver) and baseline documentation that enables high‑quality, scalable data modeling and downstream data products.
This role is intentionally non-engineering focused, with accountability centered on clarity, documentation, stakeholder alignment, and readiness for development.
Job Details:
Conduct upfront analysis of source system data sets, structures, and business concepts, working closely with Data Modelers and Business Stakeholders to define how source data is curated into the One Focus Data Model.
Perform initial research and discovery, clearly articulating:
Core data concepts
Entity relationships
Critical attributes and their data structure
Assumptions, questions, and risks
Similarities / differences (and how we account for them) in like-source systems with differing underlying data models / architectures
Produce and maintain clear, structured documentation capturing findings, relationships, open questions, and concerns related to in-scope data sets
Partner with Data Modelers to validate, refine, and affirm data relationships and conceptual alignment prior to development
Support ad hoc research and analysis related to in‑scope data sets as needed after upfront discovery (e.g., data anomalies / blockers, new use cases)
Source to Target Mapping (STTM) + Business Documentation
Own the creation and maintenance of Source to Target Mapping (STTM) and supporting baseline documentation, including:
Standard source to target mappings
Transformation and derivation logic (documented, not implemented)
Null handling expectations and edge cases
Initial identification of Critical Data Elements (CDEs)
Entity level and attribute level descriptions aligned to the curated model
Act as single point of accountability for documentation quality, completeness, and on-time delivery ahead of development
Explicit Non-Ownership:
Sprint planning or delivery estimation
Engineering or development tasks, including:
Data extraction or ingestion
Table creation
Transformation logic implementation (code portion)
Pipeline development or orchestration
Context Specifics:
CRM (Salesforce)
Portfolio Accounting & Billing (Industry Niche e.g., Orion, Addepar)
Financial Planning Tools (eMoney, MoneyGuide Pro)
About the Company
Feuji is a global deep tech solutions company committed to empowering businesses with advanced technology that drives innovation and growth. Over the past decade, we have established a strong foundation in automation, helping organizations streamline operations and boost efficiency. Building on this expertise, we have seamlessly expanded into AI solutions, supported by deep capabilities in data engineering and cybersecurity. We deliver impactful outcomes tailored to today's fast-evolving digital landscape.
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