112 Analytics Lead jobs in Thailand

Responsibilities:

• Co-led the development of campaign strategy and roadmap for a key banking client in Thailand.
• Designed and delivered comprehensive campaign proposals, including mechanics, offer structures, uplift modeling, and profitability analysis.
• Collaborated with Data Science teams to assess credit card usage, track campaign performance, uncover growth opportunities, and design tracking frameworks.
• Defined KPIs and managed campaign tracking processes, ensuring optimization and incorporating post-campaign insights.
• Researched market trends and competitor activities to refine campaign strategies and maintain competitive relevance.
• Oversaw campaign execution, including timeline and budget management, stakeholder coordination, and proactive issue resolution.
• Presented performance reports and insights to senior management, providing data-driven recommendations for future campaigns.

Qualifications

• Bachelor's degree in Business Management, Marketing, Economics, Finance, or related fields; Master's degree preferred.
• 6+ years of experience as a campaign manager, marketing manager, partnership manager, management consultant, strategic planner, or similar role.
• Strong analytical skills with ability to translate complex data into actionable growth strategies.
• Proven track record in end-to-end campaign management, from planning to optimization and post-campaign evaluation.
• Excellent communication and interpersonal skills to collaborate effectively with diverse stakeholders.
• Experienced in leading cross-functional teams with strong project management and problem-solving skills.
• Thrives in dynamic, fast-paced environments, delivering measurable results for banking clients.

Desired Skills and Experience
Campaign Strategy, Marketing Campaign Management, Customer Engagement, CRM Marketing, Loyalty Program Management, Promotion & Offer Design, Campaign Tracking & Optimization, Marketing Analytics, Data Analysis, Business Intelligence, Marketing Performance Metrics, ROI & Uplift Analysis, Customer Insights, Segmentation & Targeting, Project Management, Cross-functional Team Leadership, Stakeholder Management, Budget & Timeline Management, Risk Management, Process Improvement, Strategic Planning, Competitive & Market Analysis, Business Development, Growth Strategy, Product & Service Optimization, SQL, Excel / Advanced Excel, Tableau / Power BI, Marketing Automation Platforms, CRM Systems

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.

Job Description:

• Manage and lead a team of data analysts in applying advanced analytics to audit and assurance activities.

• Drive the use of AI/ML techniques (e.g., anomaly detection, behavioral modeling, predictive risk scoring) to identify suspicious or unusual patterns of activity.

• Collaborate with auditors to integrate data-driven insights into audit planning, execution, and reporting.

• Promote innovation by introducing new tools, methods, and technologies into the audit analytics function.

• Act as a trusted advisor to senior management on emerging risks, fraud trends, and digital transformation in audit

• Support the Department Head in preparing Thai and English versions of Monthly Reports and Quarterly Reports for SMT, the Audit Committee, and others.

• Timely perform ad-hoc assignments (projects or special audits) assigned by the Department Head or higher. This requires holistic, initiative, innovative, and analytical skills to perform the assigned tasks timely, with good quality and added value.

• People Development - develop and improve the skills, knowledge, and expertise of team members by providing them with appropriate training courses and advice during work review.

• Support the Department Head by serving as an expert in data analytics using modern auditors' tools and providing knowledge of various data sources for the Internal Audit Group

Qualifications:

• Bachelor's degree in business, mathematics, computer science, or management information systems.

• 5-10 years of relevant/recent data analysis experience in audit, financial, risk management, or technology functions.

• Strong quantitative, analytical, data intuition, and problem-solving skills, and proficiency in data analytics techniques.

• Hands-on knowledge of AI/ML applications in risk, fraud, or audit contexts.

• Familiarity with audit methodologies, risk frameworks, and financial industry regulations.

• Able to manage a team under pressure and deadlines.

• Proficient in computer literacy, especially tools for data analytics.

• Good command of English, both written and spoken

Talent Acquisition Department Bank of Ayudhya Public Company Limited

1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120

สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center Ext.82811

Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.

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Remark:The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

**Only shortlisted candidates will be contacted"

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Manage and plan the data direction and strategy for business need.

Drive successful of data insight initiatives and effective collaboration with stakeholders.

Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.

Create reports and dashboards based on data mining, evaluation, analysis, and visualization.

Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.

Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.

Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Operations Research, Informatics, Information Systems, or related fields.

Experience in programming and SQL.

Proficient in data analytics tools.

Job skills required: Statistics, SQL, Research

Responsibilities

• Manage and plan the data direction and strategy for business need
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement

Minimum qualifications :

• Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Operations Research, Informatics, Information Systems, or related fields
• Experience in programming and SQL
• Proficient in data analytics tools

Data Analytics - Mobile Banking

Responsibilities:

• Analyze customer data, behaviors, and journeys to develop marketing and engagement strategies.
• Design and monitor KPIs/metrics to measure campaign effectiveness.
• Build reports and dashboards to provide actionable insights for marketing teams and management.
• Research and evaluate market trends, competitors, and consumer insights using both internal and external data.
• Collaborate with Content and Campaign teams to provide data-driven recommendations.
• Communicate complex data insights clearly and effectively to non-technical stakeholders, enabling better decision-making.

Qualifications:

• Bachelor's or Master's degree in Marketing, Statistics, Data Science, or related fields.
• Experience in Data Analytics, Marketing Analytics, or CRM Analytics.
• Proficiency in data tools such as Excel, SQL, Google Analytics, Power BI, or Tableau.
• Strong communication and presentation skills to translate analytical findings into actionable business insights.

Working Location: Head Office Silom

For more information, please contact K.PornphunTel

Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.

To tell a story and provide insights to the users enabled to make better decision by delivering data solution.

Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.

Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.

Bachelor s degree in computer science, data analytics, statistics, economics or related fields.

Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.

Excellent communication skill both in Thai and English.

Experience in programming and SQL.

Able to work under pressure and with multiple stakeholders within limited timeline.

Interested in new technologies / innovations.

Master's degree in a quantitative discipline.

At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.

Experience working on teams that managed large scale data projects.

Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.

Conceptual, logical and physical data modeling, and data architecture knowledge.

Visualization expertise in tools like Tableau and Power BI etc.

PTG Energy Public Company Limited

90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road, Huaykwang, Bangkok 10310

Job skills required: Excel, Statistics, English, SQL

Job skills preferred: Tableau, Power BI

Jobs Description:

• Data Analysts plan decision-making, improve efficiency, enhance customer experiences, and manage risks by interpreting complex data sets.
• Success in data analysis demands a blend of technical skills. (data cleaning and statistical analysis)
• Implement the company's policies to drive Dealer in the areas under our supervision to comply with the policies.
• Involves collecting, processing, and performing statistical analyses on large datasets to discover useful information.
• Other task as assign.

Requirements:

• Bachelor Degree in Management Information Systems or Computer Technology or Engineering.
• Have experience in Automotive field is an advantage.
• Good Communicate in English. (TOEIC 550)
• Have working experience above 2 years of Working Experience is preferred. (System or Data analyst, Information system staff, IT or Application Developer)
• Good skills in using Microsoft office tools especially Excel & PowerPoint Program.

Key Responsibilities:

• จัดทำ Dashboard ของ Management Dashboard All Function
• วิเคราะห์ข้อมูลเพื่อทำการ Optimization & Predictive
• จัดทำ Data Migration เพื่อรองรับ Digital Transformation
• ศึกษา Business Process, ศึกษาและใช้งาน Machine Learning โดยใช้ Tool : Azure ML หรืออื่นๆ
• สนับสนุนโครงการที่เกี่ยวข้องกับ Digital & Smart Factory
• สามารถใช้ MS Platform ได้ เช่น Power BI, Power Automate ,Share Point, Power App, Azure ML หรืออื่นๆที่เกี่ยวข้อง
• งานอื่นๆ ที่ได้รับมอบหมาย

Qualifications

• ปริญญาตรี สาขา วศบ.เทคโนโลยีสารสนเทศ หรือสาขาอื่นๆ ที่เกี่ยวข้อง
• มีประสบการณ์ บริหารงานด้านข้อมูล / พัฒนาระบบงานข้อมูล เข้าใจกระบวนการผลิต ประสบการณ์ทำงานอย่างน้อย 3 ปี
• สามารถใช้โปรแกรมพื้นฐาน Excel, Word, Power point ได้เป็นอย่างดี
• สามารถใช้ MS Platform ได้ เช่น Power BI, Power Automate, Share Point, Power App, Azure ML หรืออื่นๆที่เกี่ยวข้อง
• มีความรู้กระบวนการผลิต อาหารสัตว์บก สัตว์น้ำ ยา อุปกรณ์ฟาร์ม และ Lab Service
• มีความรู้ด้าน Data flow, Data Analytic และ มีความรู้ด้าน Factory, M&P
• มีความรู้ในระบบ SAP

KEY OBJECTIVES:

• Being Scheduling data analytics to develop report and dashboard to support scheduling for effective decision making
• Support data driven operations and enable users (deliver data) to analyze data trends, generate reports, and derive meaningful insights to support decision-making processes.
• Support strategic planning by providing executives and decision-makers with the necessary information to align business strategies with organizational goals.
• Understand customer behavior, preferences, and trends to enhance customer satisfaction and drive business growth.

KEY DUTIES:

• Develop data analytics report and dashboard
• Integrate data from various sources to create a unified and comprehensive view of the organization's information.
• Developing and managing business intelligence report for Scheduling team
• Analyzing business requirements and processes and recommended technical operation tools and report solution through office application to improve process and performance including evaluate the effectiveness of accepted options.
• Delivering interactive presentations and generating reports for efficient data dissemination to a diverse audience
• Collaborating with team members for the purpose of collecting data and developing tools and report to support company's KPIs, Strategics and Strategic initiative
• Empower and support non-technical users to generate their reports, data analysis and visualization independently.
• Ensure the accuracy, consistency, and reliability of data by implementing data quality measures and governance policies.

Field of study

• Data analytics
• Information technology
• Engineering, Science
• Industrial management
• Business Administration

Qualification

• Proficiency in data visualization tools, SQL for querying databases and extracting relevant data, and understanding of effective dashboard design principles
• Programming languages and script languages such as VBA, Python
• Understanding of database management systems
• Familiarity with ETL tools
• Experiences in Production Planning especially in area of production scheduling or capacity planning
• Familiar with manufacturing environment and planning production of fast changing products and product mix.
• Proficiency in English communication

Join a team that is as diverse and inclusive as our jewellery. We believe and value creative thinking and ensure that there's equitable opportunities for all.

• Foster your growth and craft opportunities through our learning and development programmes.
• At Pandora, no effort or contribution goes unnoticed. We offer a wide range of opportunities and benefits to ensure that our employees feel valued, supported, and cared for.
• Transportation services are also available to drop you at the closet BTS station and other community areas.

About Pandora Crafting & Supply

Pandora started crafting its jewellery in Thailand in 1989, where our founders fell in love with the delicate craftsmanship of the Thai people. To date, there are two crafting facilities in Thailand, Bangkok, and Lamphun, and we employ more than 13,000 skilled craftspeople. By the end of 2024, there are 113 million pieces sold globally, all of which were hand-finished here in Thailand by our skilled craftspeople using high-quality raw materials and sustainable methods.

About Pandora Group

Pandora is the world's largest jewellery brand. Designed in Denmark and crafted in Thailand, Pandora jewellery provides endless opportunities for personalization, allowing people to express their passions and show who they are. The company's products are made from high-quality materials and sold in more than 100 countries through 6,785 points of sale, including 2,788 concept stores.

Pandora is committed to leadership in sustainability and is sourcing lab-grown stones and recycled silver and gold for all its jewellery. Headquartered in Copenhagen, Denmark, Pandora employs 37,000 people worldwide, is listed on the Nasdaq Copenhagen stock exchange, and generated sales of DKK 31.7 billion (EUR 4.25 billion) in 2024.