Maintenance Data Analyst - Bali, Indonesia
Join Indospec Asia as a Maintenance Data Analyst in the heart of Bali, Indonesia! This is a unique opportunity to leverage your analytical expertise in a dynamic, fast-paced environment while enjoying the vibrant culture and lifestyle of one of the worldβs most stunning destinations. Based in Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung, you'll be part of a team dedicated to ensuring the smooth operation of our maintenance processes through data-driven insights.
As a Maintenance Data Analyst at Indospec Asia, you'll play a crucial role in analyzing maintenance data to identify trends, optimize processes, and improve efficiency. You'll work closely with cross-functional teams to translate data into actionable strategies, ensuring our operations run seamlessly. With a competitive salary of Rp 12,000,000 - Rp 20,000,000 per bulan, this role offers both professional growth and the chance to experience the beauty and culture of Bali.
π Tanggung Jawab Pekerjaan
- Analyze maintenance data using tools like SQL, Python, and R to identify trends and patterns.
- Develop and maintain dashboards using Power BI or Tableau to visualize key performance indicators (KPIs).
- Collaborate with maintenance teams to implement data-driven solutions for process improvements.
- Conduct regular data reviews and provide insights to support decision-making.
- Ensure data accuracy and integrity by implementing robust data validation processes.
- Stay updated with industry best practices and emerging technologies in data analysis.
- Assist in the development of maintenance strategies based on data insights.
- Participate in cross-functional projects to enhance operational efficiency.
π Kualifikasi & Syarat
- Bachelor's degree in Data Science, Computer Science, Engineering, or a related field.
- Minimum 3 years of experience in data analysis, with a focus on maintenance or operational data.
- Proficiency in SQL, Python, and R for data manipulation and analysis.
- Experience with data visualization tools such as Power BI or Tableau.
- Strong problem-solving skills and the ability to think analytically.
- Excellent communication skills to present findings to non-technical stakeholders.
- Familiarity with maintenance management systems (MMS) and enterprise asset management (EAM) software.
- Ability to work in a fast-paced environment and meet tight deadlines.
π οΈ Keahlian
Kirim lamaran sekarang sebelum batas waktu.π Lamar Sekarang