Engineering Data Analyst at XP POWER LIMITED

Ipoh, Perak, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

0.0

Posted On

14 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Database Development, Data Visualization, Statistical Tools, Data Cleansing, Microsoft Power BI, SQL, Data Governance, Engineering Documentation, Electronics Industry Knowledge, Supply Chain Management, Azure SQL Database, ETL Tools, Product BOM, PLM Systems, ERP Systems

Industry

electrical;Appliances;and Electronics Manufacturing

Description

Company Description We are committed to our culture that values Customer Focus, Flexibility, Knowledge, Speed and Integrity. Joining our team means you will work in a high performing global company where employees collaborate and strive for excellence. Job Description Position Summary 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. Candidate with strong experience and expertise is considered for a Senior role. Duties & Responsibilities 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, etc. Qualifications Bachelor's degree or above in Electrical/Electronic, Mechanical Engineering or equivalent. 3+ years of experience as a data/BI analyst or in a related field with good understanding and hand-on experience in data warehouse development. 3+ 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. Additional Information XP Power provides a safe and healthy working environment that is stimulating and collaborative, where employees are empowered to make a real difference. We place our people at the heart of everything we do. We understand that if we provide our people with the ultimate experience, they will provide the ultimate experience to our customers. Department: Component Engineering

Responsibilities

The Engineering Data Analyst acts as a subject-matter expert in Engineering data, gathering and cleansing data to provide insights for informed business decisions. Responsibilities include creating data visualizations, assessing data quality, and collaborating with stakeholders to identify process improvements.