22 jobs as Data Analytics Manager in Thailand (Bangkok Metropolitan Region)

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Division Manager, Data Analytics - Retail

Lotus's

Thailand | Bangkok

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Last updated 2 days ago

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Anti Financial Crime Data Analytics (AVP - VP)

UOB (Thailand)

Thailand | Bangkok

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Last updated 2 days ago

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Data Analytics (หัวหน้าแผนก - ผู้ช่วยผู้จัดการแผนก)

THAI UNION GROUP PCL.

Thailand | Samut Sakhon

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Last updated 1 week ago

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Data Engineer (Entry - Manager)

Bluebik Group PCL

Thailand | Bangkok

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Last updated 1 week ago

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Data Analytics Team Lead

Perfect Companion Group Co., Ltd.

Thailand | Bangkok

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Last updated 1 week ago

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Spares & C&A Operations Data Manager

Electrolux

Thailand | Bangkok

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Last updated 2 weeks ago

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Lead Data Engineer

LINE MAN Wongnai

Thailand | Bangkok

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Last updated 3 weeks ago

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Data Manager

The Bangkok Residence Company Limited

Thailand | Bangkok

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Last updated 3 weeks ago

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AI Data Scientist Manager

Makro PRO

Thailand | Bangkok

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Last updated 3 weeks ago

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Data Analyst Team Leader

SMARTMATHPRO CO., LTD.

Thailand | Bangkok

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Last updated 1 month ago

Division Manager, Data Analytics - Retail

Lotus's

Lotus's (Bueng Kum)

Bueng Kum

Bangkok, Thailand

At Lotus's, we get up every morning and questioned ourselves daily on how we can serve our customers better. Lotus’s is an omni-channel retailer in Thailand, with a commitment to providing great quality products at affordable prices, while doing good things for our customers, colleagues, and communities. We serve customers through our network of more than 2,000 stores nationwide and online platforms, with more than 10.8 transactions made per week. We strive to cater to the ever-changing lifestyles of our customers, with a goal to deliver convenience and a seamless shopping experience anywhere anytime.

About this position

The Division Manager, Data Analytics - Retail is responsible for developing and executing analytics strategies tailored to the retail industry, leading a team of data scientists, and ensuring the integration of diverse data sources to drive business growth and customer satisfaction.

Responsibilities

• Develop and execute a forward-thinking analytics strategy tailored to the retail industry, focusing on leveraging data platforms to drive revenue growth, operational efficiency, and customer satisfaction.
• Lead, mentor, and inspire a team of data scientists and analysts, fostering a culture of innovation, collaboration, and data-driven decision-making.
• Stay ahead of industry trends, emerging technologies, and best practices in data science and retail analytics to maintain CP Axtra’s competitive edge.
• Oversee the integration of diverse data sources, including POS systems, CRM platforms, online transactions, and third-party providers, into our cloud-based data platform.
• Design and develop advanced machine learning models, algorithms, and statistical analyses to uncover actionable insights related to customer behavior, product performance, and market trends.
• Apply expertise in recommendation and personalization algorithms to enhance customer experiences and engagement.
• Deliver data-driven solutions to optimize pricing strategies, inventory management, and promotional campaigns, leveraging state-of-the-art analytics tools and methodologies.
• Partner closely with retail operations, marketing, and sales teams to understand business challenges and provide tailored analytical support that aligns with strategic objectives.
• Identify opportunities to enhance customer segmentation, personalized marketing efforts, and customer retention strategies through advanced data science techniques.
• Act as a key advisor to senior leadership, translating complex data insights into actionable recommendations and business value.
• Define and monitor key performance indicators (KPIs) related to retail operations, such as sales conversion rates, customer lifetime value, and basket analysis.
• Leverage analytics to continuously assess and optimize business processes, driving operational efficiency and profitability.
• Present complex analytical findings, models, and recommendations to stakeholders in a clear, impactful, and visually compelling manner.
• Collaborate across departments to implement data-driven initiatives that align with CPaxtra’s goals and drive tangible outcomes.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master’s or PhD strongly preferred).
• Extensive experience in analytics, data science, or business intelligence roles, with significant exposure to the retail industry.
• Advanced proficiency in Python, R, SQL, and machine learning frameworks.
• Expertise in data visualization tools (e.g., Tableau, Power BI) and cloud-based data platforms (e.g., AWS, GCP, Azure).
• In-depth knowledge of big data technologies (e.g., Spark, Hadoop) and modern data engineering practices.
• Strong understanding of recommendation/personalization algorithms and data processing technologies.
• Proven ability to lead high-performing teams.