Commercial Data Analytics
Bangkok, Thailand
NocNoc
ตลาดซื้อขายวัสดุและของแต่งบ้านพร้อมบริการช่างติดตั้งครบวงจร พบกับ พื้นไม้ลามิเนต กระเบื้องปูพื้น กระเบื้องยาง วอลล์เปเปอร์ ผ้าม่าน จากแบรนด์ชั้นนำWe 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data Analytics Data Mining Data pipelines E-commerce Engineering Mathematics Pipelines Python SQL Statistics
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