Steely RMI PLC
Engineering
Engineering Management
Bishooftuu
3 years
2 Positions
2025-06-26
to
2025-07-01
perform data analysis
Data Analytics
Engineering Science
Full Time
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Job Description
An Engineering Data Analyst leverages data to improve engineering processes, products, and decision-making. This role involves collecting, cleaning, analyzing, and visualizing data to identify trends, solve problems, and provide actionable insights to engineering teams
Required Number: 2
Workplace: Oromia Regional State (Beshoftu)
Gathering data from various sources, including databases, sensors, and other systems, and ensuring its accuracy and completeness.
Applying statistical methods, data mining techniques, and other analytical tools to identify patterns, trends, and anomalies within the data.
Creating clear and concise visualizations, such as charts, graphs, and dashboards, to communicate findings to stakeholders.
Developing reports and presentations to explain data insights, recommend solutions, and support data-driven decision-making.
Utilizing data analysis to identify and address performance issues, optimize processes, and improve engineering outcomes.
Working closely with engineers, data scientists, and other stakeholders to understand their data needs and provide support.
Ensuring data integrity and accuracy, and implementing data governance standards.
Skills Required:
Proficiency in SQL, Python, R, or other relevant programming languages; experience with data visualization tools (e.g., Tableau, Power BI); knowledge of statistical methods and data mining.
Strong ability to analyze complex datasets, identify patterns, and draw meaningful conclusions.
Excellent written and verbal communication skills to effectively convey data insights to technical and non-technical audiences.
Ability to identify and solve problems using data analysis and critical thinking.
Ability to work effectively with diverse teams and communicate with stakeholders.
Education: Bachelor's Degree in Engineering or Data Science or in a related field of study with Industry Knowledge, proficient in data analysis (Excel, Power BI), Practical understanding of production, Maintenance, And Automation systems, with relevant experience.
Experience: 3 Years relevant work experience in manufacturing.
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Fields Of Study
Data Analytics
Engineering Science
Skills Required
perform data analysis