Senior Data Analyst

PT Maritim Luhur ยท ๐Ÿ“ Tenggarong ยท Diposting 2026-10-10
FULL_TIMEโญ TERVERIFIKASI
Rp 10.000.000 โ€“ Rp 12.000.000 per month
PT Maritim Luhur is seeking a highly skilled Senior Data Analyst to join our dynamic team in Tenggarong. In this role, you will be responsible for analyzing complex data sets, providing actionable insights, and supporting our decision-making processes. If you are passionate about data and have a strong analytical background, we encourage you to apply.

๐Ÿ“‹ Tanggung Jawab Pekerjaan

Conduct in-depth data analysis to identify trends, patterns, and insights.,Develop and maintain data models, algorithms, and code to support data analysis.,Create data visualizations and reports to effectively communicate findings to stakeholders.,Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.,Ensure data accuracy and integrity by implementing data quality checks and validation processes.,Stay updated with the latest data analysis tools, techniques, and industry trends.,Mentor and guide junior data analysts to enhance their skills and knowledge.,Participate in data-driven projects from inception to completion, ensuring successful delivery.

๐ŸŽ“ Kualifikasi & Syarat

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.,Minimum of 5 years of experience in data analysis, with a strong background in statistical analysis and data modeling.,Proficiency in programming languages such as Python, R, or SQL.,Experience with data visualization tools like Tableau, Power BI, or similar.,Strong understanding of data warehouse concepts and experience with ETL processes.,Excellent communication and presentation skills to effectively convey insights to stakeholders.,Ability to work independently and as part of a team in a fast-paced environment.,Familiarity with big data technologies and tools is a plus.

๐Ÿ› ๏ธ Keahlian

Data AnalysisStatistical AnalysisData ModelingData VisualizationETL ProcessesProgramming (PythonRSQL)Data WarehousingBig Data Technologies
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