Senior Data Analyst
FLUX Indonesia ยท ๐ Pasuruan, Jawa Timur ยท Diposting 2026-10-10
FULL_TIMEโญ TERVERIFIKASI
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FLUX Indonesia is looking for a highly skilled and experienced Senior Data Analyst to join our team in Pasuruan, East Java. In this role, you will be responsible for analyzing large datasets to help our company make data-driven decisions. You will work closely with cross-functional teams to identify trends, patterns, and insights that can drive business growth.
As a Senior Data Analyst, you will have the opportunity to work on a variety of projects and initiatives that are critical to our business. You will be expected to have a strong understanding of data analysis tools and techniques, as well as the ability to communicate your findings effectively to both technical and non-technical stakeholders.
If you are a passionate and motivated individual with a proven track record of success in data analysis, we encourage you to apply for this exciting opportunity.
๐ Tanggung Jawab Pekerjaan
Tanggung Jawab:
Analyze large datasets to identify trends, patterns, and insights that can drive business growth.Develop and maintain data models and algorithms to support business decision-making.Work closely with cross-functional teams to understand business requirements and translate them into data analysis projects.Create data visualizations and dashboards to communicate findings to stakeholders.Collaborate with data engineers to ensure data quality and integrity.Stay up-to-date with the latest data analysis tools and techniques, and mentor junior team members.Participate in data-driven decision-making processes and provide recommendations to senior management.Conduct data audits and quality assurance checks to ensure accuracy and reliability of data.๐ Kualifikasi & Syarat
Kualifikasi:
Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.5+ years of experience in data analysis, with a strong background in SQL, Python, or R.Experience with data visualization tools such as Tableau, Power BI, or Qlik.Strong understanding of statistical concepts and techniques.Excellent communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.Proven ability to work independently and as part of a team in a fast-paced environment.Strong problem-solving and critical thinking skills.Familiarity with big data technologies such as Hadoop, Spark, or Hive is a plus.๐ ๏ธ Keahlian
SQLPythonRTableauPower BIQlikHadoopSparkHivestatistical analysisdata visualizationdata modelingdata quality assurance
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