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Open nowFirst seen 5 days ago

Director of Digital Intelligence

Kate Worthington706 open roles

Where
Bangkok, Bangkok, Thailand
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Your applicationOpen nowDirector of Digital IntelligenceKate Worthington · Bangkok, Bangkok, Thailand

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  6. 58.1%60 days
This job: first seen 5 days ago

The posting

HIRING POSITION: Director of Digital Intelligence

WORKING CONDITION: ON-SITE

LOCATION: BANGKOK, THAILAND (MRT ACCESSIBLE)

PAY RATE: THB 160000 TO THB 180000

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Our client is a leading energy company based in Thailand, specializing in providing energy-related services to businesses and consumers. The company offers a range of products and services, including gas stations, liquefied petroleum gas (LPG), and natural gas for vehicles (NGV). Additionally, it is involved in the production and distribution of renewable energy, such as solar power and biogas.

In recent years, our client has been investing in developing data intelligence capabilities to improve its operations and better serve its customers. By leveraging advanced analytics and machine learning technologies, our client can collect and analyze data from various sources, such as customer transactions, sensors, and social media. This enables the company to gain insights into customer behavior, market trends, and operational efficiency, allowing it to make data-driven decisions and optimize its business processes.

One example of our client's data intelligence is its SmartFuel system, which uses real-time data to optimize fuel prices and inventory management. The system analyzes data from various sources, such as fuel consumption, weather forecasts, and competitor prices, to determine the optimal fuel prices and inventory levels for each gas station. This helps our client to maximize profits while ensuring that customers receive fair prices. Moreover, our client uses data intelligence to improve customer experience. The company has developed a mobile app that allows customers to locate nearby gas stations, view current fuel prices, and receive personalized promotions. The app uses data from customers' past transactions and preferences to provide targeted offers and recommendations, improving customer engagement and loyalty.

In conclusion, our client's data intelligence capabilities have enabled the company to stay ahead of the competition in the rapidly evolving energy industry. By leveraging advanced analytics and machine learning technologies, our client can make data-driven decisions and improve its operations, increase profits, and better serve its customers. With its commitment to innovation and the use of data intelligence, our client is well-positioned to continue leading the energy industry in Thailand and beyond.

About the Role:

Our client is seeking a highly experienced Director of Digital Intelligence to lead the company's data intelligence initiatives. The Director of Digital Intelligence will be responsible for developing and implementing strategies to collect, analyze, and leverage data to improve business operations and customer experience.

Key Responsibilities:

  • Develop and implement a data intelligence strategy that aligns with the company's overall business strategy.
  • Identify opportunities to collect and analyze data from various sources, such as customer transactions, social media, and sensors.
  • Collaborate with other departments to gather and analyze data, and to develop data-driven solutions that meet business needs.
  • Use advanced analytics and machine learning technologies to gain insights into customer behavior, market trends, and operational efficiency.
  • Ensure that data is accurate, consistent, and secure.
  • Stay up to date with the latest trends and developments in data intelligence and recommend new technologies and approaches to improve the company's data intelligence capabilities.
  • Manage a team of data engineers and data scientists to ensure that the company's data assets are effectively managed and optimized.

Qualifications:

  • Bachelor's or master's degree in Computer Science, Data Science, or a related field.
  • 8+ years of experience in data engineering, data science, or a related field.
  • Proven experience in developing and implementing data intelligence strategies in a complex environment.
  • Strong knowledge of data engineering principles and practices.
  • Good knowledge of statistical and machine learning techniques and their applications in data analysis.
  • Excellent communication and leadership skills.
  • Ability to work effectively with cross-functional teams.
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