Data Analyst & Engineer

Our Client is a Precision Engineering company specializing in Machining of tools, parts and components that are pivotal in the supply chain of semiconductor companies.

Key Responsibilities

• Collaborate with the cross functional team (ERP Change Lead, Finance Controller and Shipping team) to define reporting and visualization requirements.
• Develop and maintain dashboards, reports and KPIs, starting with Oracle NetSuite as the starting point.
• Ensure data accuracy and consistency across all modules (Sales, Design, Operations, Logistics and Accounting).
• Perform root cause analysis of data discrepancies and recommend corrective action.
• Design and implement data pipelines to extract, transform and load data from various sources for real-time visibility, coordination and decision-making across operations.
• Optimize data models to support efficient reporting and analysis.
• Work with cross-functional teams to integrate data from Microsoft 365, HR systems and other business applications such as SolidWorks and Manufacturing Execution System.
• Automate data cleansing and validation processes to improve overall data quality.
• Enter, update and maintain accurate data in Oracle NetSuite, ensuring information is current and reliable.
• Monitor data entry processes to prevent errors and maintain data integrity.
• Collaborate with relevant departments to verify and validate data inputs.
• Establish data standards, governance frameworks and best practices for data management.
• Identify data quality issues and implement solutions to enhance data reliability.
• Support audits and compliance activities by providing accurate data sets and reports.

Requirements

• Bachelor’s degree in data science, Computer Science, Information Systems, Finance or related field.
• 3+ years of experience in data analysis and engineering roles, preferably in manufacturing or finance.
• Hands-on experience with Oracle products, particularly in financial data visualization and reporting.
• Strong background in SQL, data modeling and ETL processes.
• Experience with business intelligence tools (e.g. NetSuite Analytics and PowerBI) is a plus.
• Knowledge of ERP data structures, especially in financial module.
• Proficient in SQL, Excel (advanced) and scripting languages (Python, R, etc).
• Proficient with APIs, data integration tools and framework (Apache Spark, Airflow, Presto etc) and cloud data platforms (specifically AWS, Azure, Databricks and Snowflake).
• Proficient in DevOps and Data Infrastructure such as Docker, Jenkins, AWS, Prometheus, Grafana, Elastic and Kibana.
• Understanding financial processes and accounting principles is highly desirable.

The Talent People 24C2589