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Detail posisi

The Data Analytics นักวิเคราะห์ข้อมูล position involves working closely with stakeholders to analyze data, provide insights, and drive decision-making. The role includes planning and executing data analytics projects, utilizing advanced tools, and mentoring junior analysts.

Kewajiban

• Data Strategy: Develop and execute effective data analysis strategies that align with business objectives and key performance indicators (KPIs).
• Data Collection & Integration: Lead the collection, cleaning, and integration of large datasets from various sources (e.g., CRM, e-commerce, marketing platforms).
• Trend Analysis: Analyze data to identify patterns, trends, and outliers that provide meaningful business insights.
• Dashboard Creation: Build and maintain dashboards and reports that provide stakeholders with clear visibility into KPIs and metrics.
• Predictive Analytics: Use statistical models and machine learning techniques to predict future trends and performance.
• A/B Testing: Implement and monitor A/B tests to measure the effectiveness of various business initiatives and strategies.
• Data Governance: Ensure data quality and integrity by establishing best practices for data governance and management.
• Reporting: Prepare and present reports translating complex data findings into actionable business recommendations.
• Industry Trends: Stay informed about industry trends, tools, and technologies to ensure that the company’s data practices remain cutting-edge.
• Collaboration: Collaborate with cross-functional teams (e.g., marketing, product, finance) to ensure data-driven decision-making across the organization.

Kualifikasi

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field (or equivalent work experience).
• Proven experience in data analysis, with a strong ability to translate data into actionable insights that drive business results.
• Proficiency in using data analysis tools such as SQL, Python, PySpark, and data visualization tools (e.g., Tableau, Power BI, Looker).
• Experience working with large datasets and complex databases, including data from CRM, marketing, and e-commerce platforms.
• Strong understanding of statistical analysis, predictive modeling, and machine learning techniques.
• Excellent communication skills to present data findings clearly to both technical and non-technical stakeholders.
• Results-driven mindset with strong problem-solving abilities.
• Familiarity with A/B testing methodologies and data governance best practices.
• Ability to stay current with industry trends, tools, and emerging technologies in the field of data analytics.

Keuntungan