Data Analyst

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Responsibilities
Collaborate with business functions to define reporting and visualization requirements
Develop and maintain dashboards and reports using business intelligence tools
Work with business functions (Sales, Design, Operations, Logistics, and Finance) to ensure data accuracy and consistency
Perform root cause analysis of data discrepancies and recommend corrective actions
Design and implement data pipelines to extract, transform, and load data from various sources to enable real-time visibility and decision-making
Optimize data models to support efficient reporting and analysis
Integrate data from Microsoft 365, HR systems, and other business applications such as SolidWorks (CAD) and the Manufacturing Execution System (MES)
Automate data cleansing and validation processes to improve overall data quality
Data Governance & Quality
Establish data standards, governance frameworks, and best practices for data management
Identify data quality issues and implement solutions to enhance reliability
Support audits and compliance activities by providing accurate datasets and reports
Oracle NetSuite Operations
Be part of the team to support NetSuite ERP operations, including liaising with external vendors to resolve user-reported issues
Assist in developing and maintaining SuiteQL queries for reporting and analytics
Job and Education Qualifications
Bachelor’s degree in data science, Computer Science, Information Systems or related field
3+ years of experience in data analysis and engineering roles, preferably in manufacturing or finance
Experience with business intelligence tools (e.g. Power BI) is essential
Strong background in SQL, data modeling and ETL processes
Prior experience in NetSuite Analytics is advantageous
Hands-on experience with Oracle products, especially for financial reporting and visualization
Strong Knowledge of ERP data structures, particularly financial modules
Technical Skills
Proficient in Power BI, including DAX, Power Query (M), and data model optimization for performance
Strong SQL skills (e.g., T-SQL, SuiteQL) for ERP and financial data analysis
Experience in data wrangling and transformation using Python or R for automation and preprocessing
Familiarity with APIs (REST/SOAP), JSON/XML data structures, and integrating with ERP or SaaS applications
Experience with Databricks and Microsoft Fabric for advanced analytics and scalable data processing
Understanding financial processes and accounting principles is highly desirable
Soft Skills
Strong analytical and problem-solving skills, with the ability to approach challenges from a technical perspective
Resourceful and self-driven, with the ability to independently analyze complex problems, break them down into manageable parts, and implement effective solutions
Excellent communication and collaboration abilities, capable of working effectively across functions (finance, design, manufacturing, IT, and supply chain)
Meticulous in ensuring data accuracy, with a continuous drive to improve data-related processes and workflows
Ability to manage multiple priorities in a fast-paced environment
Seniority level
Executive
Employment type
Full-time
Job function
Analyst, Finance, and Engineering
Industries
Semiconductor Manufacturing
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