The Role
Analyze and profile source data, map source-to-target flows, define transformation logic, and develop data models and documentation. Translate stakeholder needs into functional and technical requirements, facilitate workshops, define data and KPI standards, support agile delivery and UAT, and validate solutions with architects, engineers, QA, and business teams.
Summary Generated by Built In
Job Summary & Responsibilities
Data Analysis & Data Mapping
- Analyze source systems to understand existing data structures
- Perform data profiling, data quality assessment, and exploratory data analysis on source systems.
- Map source-to-target data flows and define transformation logic for data pipelines, data warehouses, and analytics platforms.
- Design Data models, Entity-Relationship diagrams, and document data definitions.
- Identify data gaps, inconsistencies, and quality issues and propose remediation strategies.
- Work closely with data architects and engineers to validate source system assumptions.
Requirements & Documentation
- Create and maintain artifacts such as: Business Requirement Documents (BRD), Functional Requirement Specifications (FRS), User Journeys and Acceptance Criteria, Process flows, data models, and system diagrams.
- Ensure requirements are clear, complete, testable, and traceable
- Develop data and KPI definitions and implement these into our global data catalog
Business & Stakeholder Engagement
- Collaborate with business stakeholders to understand business problems, pain points and requirements.
- Translate business requirements into detailed functional and technical specifications.
- Facilitate workshops, interviews, and requirement-gathering sessions
- Act as a trusted advisor by proposing solution options and trade-offs
Delivery & Quality Support
- Support sprint planning, backlog refinement, and prioritization activities
- Validate solutions against business requirements during testing phases
- Support UAT (User Acceptance Testing) by defining scenarios and validating outcomes
- Identify risks, dependencies, and impacts related to proposed changes
- Bachelor’s or Master’s degree in: Computer Science/ Economics/ Engineering/ Business Administration
- Data Bricks, Microsoft Azure, SQL, Python skills
- 5–8 years of experience as a Data Analyst, Data Modeler, Technical Business Analyst, or similar role
- Solid experience with data analysis and technical expertise regarding data models, database design development, data mining and segmentation techniques;
- Experience working as part of project team in global transformation projects in Operations and Supply Chain Management or Human Resources and Finance
- Experience working with cross-functional teams including developers, QA, and product owners
- Experience in understanding how data supports solid processes and hence adds business value is a must have
Skills Required
- Bachelor’s or Master’s degree in Computer Science, Economics, Engineering, or Business Administration
- Experience with Databricks, Microsoft Azure, SQL, and Python
- 5–8 years of experience as a Data Analyst, Data Modeler, Technical Business Analyst, or similar role
- Experience with data analysis, data models, database design and development, data mining, and segmentation techniques
- Experience contributing to global transformation projects in Operations and Supply Chain Management, Human Resources, or Finance
- Experience working with cross-functional teams including developers, QA, and product owners
- Understanding how data supports effective processes and creates business value
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The Company
What We Do
For over a half-century, Advantest has been designing innovative electronic measuring equipment and semiconductor test systems essential to the development and manufacture of advanced computer and telecommunications products. On April 1, 2012, Advantest completed its integration of Verigy Ltd. Additional Information about Advantest can be found at www.advantest.com.
