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Data Engineer Apprentice
2 months ago
Arm Limited is a leading technology company that designs the heart of advanced digital products. The company's Operations team is responsible for delivering technology within each business group, and the Engineering Efficiency team plays a crucial role in ensuring successful project delivery.
The team provides business reports using business intelligence tools and various data sources. We are expanding our report portfolio to introduce new visualizations and metrics to meet evolving business requirements.
This role is part of a data evolution journey from older technologies to data lake architecture. The team is growing and has opportunities to learn new skills and be part of a revolutionary change in Arm's engineering delivery data and analytics.
About YouYou will be a trusted business intelligence professional with good interpersonal, communication, and organizational skills. You will enjoy working independently and multi-functionally to design and present information that adds real value to the business.
Responsibilities- Build data queries that provide actionable, concise, and presentable data-driven insights
- Maintain existing reports/dashboards and data interfaces
- Ensure accuracy of required Performance Indicators in the Engineering Ops Divisions and all its departments
- Continuously improve the accuracy and efficiency of data provided to Engineering Ops and Quality teams
- Work with leaders to provide timely, accurate, and relevant data
- Explain trends from data sources and find opportunities for improvements in the assigned Engineering Ops Division
To be successful in this role, you need to have a real passion for business intelligence and how it can positively contribute to the business environment. You should demonstrate the following capabilities:
- A track record of using quantitative and qualitative analysis to generate insights, thus driving better organisational decision making and clear and concise communication
- Excellent analytical skills: Quickly understand and articulate the business drivers, options, and benefits for a wide variety of business analytics
- Experience with Data Visualisation tools including MS Power BI and Tableau
- SQL knowledge and/or Database testing experience
- General understanding of data warehouses and ingestion methodologies (e.g. Snowflake, ETL, ELT)
- Experience in creating data solutions
- Experience in on-prem to Cloud data migration
- Developer platform/tool industry experience