Cross-Border Analytics Strategist

Join Global Insight Analytics as a Cross-Border Analytics Strategist in the vibrant region of Bangka Belitung. In this pivotal role, you will drive data-driven decision-making across international markets, leveraging advanced analytics to optimize business performance and gain a competitive edge.

At Global Insight Analytics, we are a leading analytics firm specializing in cross-border data solutions. Our mission is to empower businesses with actionable insights derived from complex data sets, enabling them to navigate the global market with confidence. As a Cross-Border Analytics Strategist, you will work closely with our international clients, helping them to understand market trends, identify opportunities, and mitigate risks.

In this role, you will be responsible for developing and implementing data strategies that align with our clients' business objectives. You will use industry-leading tools such as Python, R, and SQL to analyze large datasets, and you will present your findings in clear, concise reports. Your daily tasks will include data cleaning, exploratory data analysis, predictive modeling, and visualization.

📋 Tanggung Jawab Pekerjaan

• Develop and implement data strategies that align with international business objectives.
• Conduct data cleaning, exploratory data analysis, and predictive modeling using Python, R, and SQL.
• Create clear, concise reports and visualizations to present findings to clients.
• Collaborate with cross-functional teams to ensure data accuracy and relevance.
• Stay updated with industry trends and emerging technologies in data analytics.
• Provide data-driven recommendations to optimize business performance.
• Manage and monitor data quality and integrity.
• Support clients in understanding market trends, identifying opportunities, and mitigating risks.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data analytics, with a focus on cross-border or international markets.
• Proficiency in Python, R, and SQL for data analysis.
• Experience with data visualization tools such as Tableau, Power BI, or QlikView.
• Strong understanding of statistical methods and machine learning techniques.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Certification in data analytics or a related field is a plus.

🛠️ Keahlian

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