Data Analyst - Consumer Goods & Retail Analytics
Impact Power Mandiri ยท ๐ Jakarta Selatan, Jakarta Raya ยท Diposting 2026-10-03
FULL_TIMEโญ TERVERIFIKASI
Rp 7.700.000 - Rp 8.600.000 per bulan
Impact Power Mandiri is seeking a detail-oriented Data Analyst to join our dynamic team in Jakarta Selatan. In this role, you will play a pivotal part in transforming raw data into actionable insights that drive business growth in the retail industry.
As a Data Analyst at Impact Power Mandiri, you will work closely with cross-functional teams to analyze consumer behavior, market trends, and sales performance. You will use advanced analytical tools like Tableau and Power BI to create visualizations that help stakeholders make informed decisions. This is an exciting opportunity to leverage your analytical skills and contribute to the success of a growing company.
๐ Tanggung Jawab Pekerjaan
- Collect, clean, and analyze large datasets from various sources to identify trends and patterns.
- Develop and maintain dashboards and reports using Tableau and Power BI.
- Create data visualizations to communicate insights effectively to stakeholders.
- Collaborate with marketing and sales teams to understand business objectives and translate them into analytical questions.
- Perform ad-hoc analysis to support decision-making processes.
- Identify opportunities for process improvement and cost savings through data analysis.
- Stay updated with the latest trends and tools in data analytics.
- Present findings and recommendations to senior management in a clear and concise manner.
๐ Kualifikasi & Syarat
- Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
- 3-5 years of experience in data analysis, preferably in the retail or consumer goods industry.
- Proficiency in SQL and experience with data visualization tools such as Tableau and Power BI.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team.
- Knowledge of statistical methods and techniques.
- Familiarity with Python or R programming languages is a plus.
๐ ๏ธ Keahlian
Data AnalysisSQLTableauPower BIPythonRStatistical Analysis
Siap Melamar?
Kirim lamaran sekarang sebelum batas waktu.๐ Lamar Sekarang
Kirim lamaran sekarang sebelum batas waktu.๐ Lamar Sekarang
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