Data Scientist Support Specialist

Join Lawencon International as a Data Scientist Support Specialist and play a pivotal role in transforming raw data into actionable insights. You will collaborate with cross-functional teams to develop, maintain, and optimize reports, dashboards, and data pipelines in Jakarta Selatan. This role offers a unique opportunity to leverage your expertise in data analysis and visualization to drive business decisions and enhance operational efficiency.

At Lawencon International, we are committed to fostering a collaborative and innovative environment where your skills and insights will be valued. As a Data Scientist Support Specialist, you will work closely with our data science team to ensure that our data infrastructure is robust, scalable, and aligned with our business objectives. Your daily tasks will involve cleaning, processing, and analyzing large datasets using tools like Python, R, and SQL, as well as creating interactive dashboards with Power BI or Tableau.

📋 Tanggung Jawab Pekerjaan

Key Responsibilities:

• Develop and maintain data pipelines and ETL processes to ensure data integrity and availability.
• Create and optimize reports and dashboards using Power BI, Tableau, or similar tools to support data-driven decision making.
• Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
• Clean, process, and analyze large datasets using Python, R, and SQL.
• Implement and monitor data quality checks and validation processes.
• Provide technical support to the data science team, including troubleshooting and resolving data-related issues.
• Stay updated with the latest trends and best practices in data science and analytics.
• Participate in continuous improvement initiatives to enhance data infrastructure and processes.

🎓 Kualifikasi & Syarat

Kualifikasi & Syarat:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• 2-4 years of experience in data analysis, data engineering, or a related field.
• Proficient in Python, R, and SQL for data manipulation and analysis.
• Experience with data visualization tools such as Power BI, Tableau, or similar.
• Strong understanding of statistical concepts and techniques.
• Knowledge of data pipelines, ETL processes, and data warehousing.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Ability to work in a fast-paced environment and meet tight deadlines.

🛠️ Keahlian

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