Acts as a subject-matter expert of Engineering data (products, BOMs, materials, Documents, suppliers, etc.) – Gathers data from various sources, cleanse data for integrity and accuracy, applies various data analysis tools to provide meaningful information and insights to help businesses make informed decisions
Providing technical expertise in database/data system development and data infrastructure setup
Collecting/consolidating data from various sources and organizing them into usable formats
Using statistical tools to derive meaningful information/insights from raw business data and analyzing data to find answers to specific questions
Assessing quality and meanings of data and cleansing corrupted data for integrity and accuracy
Creating data visualizations and reports for other stakeholders to comprehend business facts and trends to make better decisions
Working with relevant stakeholders to identify process improvement opportunities, propose system modifications, and devise data governance strategies
Creating appropriate documentation that allows others to understand data analysis processes and steps to foster wide adoption of data processing techniques
Liaising with various departments and internal stakeholders to create collaborative work relationships – understand their data requirements, propose the solutions, advocate the team values, obtain their supports when required

Bachelor's degree or above in Electrical/Electronic, Mechanical Engineering or equivalent
5+ years of experience as a data/BI analyst or in a related field with good understanding and hand-on experience in data warehouse development
5+ years of experience in electronics industry with good knowledge of electronics components and materials, manufacturing and supply chain management
Proven skills in Microsoft Power BI and Power Query, Data Model, DAX, Visual Reporting, etc.
Proficient in Azure SQL database, Data factory and common ELT/ETL tools
Knowledge of relational database management system and SQL language
Knowledge of Product BOM, PLM and ERP systems such as SAP or Oracle, etc.
Strong mathematical, statistical, and analytical skills
the ability to analyze, model and interpret data, identify trends, patterns, and insights from data
Experience in Engineering Documentation & Control is desirable
Experience in Microsoft SharePoint, Dataverse, Lists, Teams, etc. is desirable
Adaptive with strong initiatives, attention-to-detail and motivated for continuous self-upskill

Senior Data Analyst, Engineering

Key skills