Commercial Data Analytics

Bangkok, Thailand

NocNoc

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We are looking for a highly motivated candidate. Our ideal candidate is confident in his/her skills, has a great attitude, thrives in a fast-paced environment, and wants to join a dynamic team centered around innovation.

You will be responsible for designing, developing, and maintaining data infrastructure to enable efficient data processing, data analysis, data modeling, and data-driven decision-making across the Commercial team.

This role reports directly to the Analytics and BI manager and collaborates closely with Commercial analytics and BI team.

Roles & Responsibilities

  • Design, create, and maintain scalable and efficient data pipelines to support the entire data usage cycle for the Commercial team.

  • Ensure data accuracy and quality, and maintain the data dictionary.

  • Work closely with analytics team to optimize queries, fix performance bottlenecks, improve existing schemas, and design new ones.

  • Utilizing statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends

  • Communicate hypotheses and findings to all stakeholders to ensure a clear understanding of the underlying reasons.

  • Collaborate with cross-functional teams to support data-driven initiatives, provide data insights, and contribute to data-driven decision-making

Qualifications

  • Bachelor's degree in Computer Engineering, Computer Science, Information systems, Statistics, Mathematics, or a related field

  • Proficiency with data mining, data modeling, mathematics, and statistical analysis.

  • Strong coding skills i.e. Python, SQL

  • Strong analytical and problem-solving skills, as well as verbal and written communication and presentation skills.

  • Experience in E-Commerce business is preferable

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Computer Science Data analysis Data Analytics Data Mining Data pipelines E-commerce Engineering Mathematics Pipelines Python SQL Statistics

Region: Asia/Pacific
Country: Thailand

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