31 Data Analysis jobs in Bangkok
Service Desk Supervisor and Data Analysis

Posted 8 days ago
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Invenco by GVR is a global leader in integrated
Business Intelligence Associate
Posted today
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You will work closely with key
Business Intelligence Analyst
Posted today
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About the Job:
As a BI Analyst, you'll embark on a journey to become the data maestro for our esteemed global client. Your role revolves around architecting, refining, and optimizing data analytics solutions using a range of databases and cutting-edge software tools. By delving into the intricacies of business processes and company data structures, you'll wield data to provide invaluable insights that steer the course of our client's success.
This role offers the flexibility of remote work, with occasional travel to the Prachin Buri manufacturing site.
What You Bring:
- Mastery of PowerBI, navigating import, hybrid data, and composite structures with finesse.
- Proficiency in crafting SQL queries, backed by a deep understanding of MS SQL performance tuning.
- Bilingual fluency in English and Thai, coupled with an edge if you're conversant in Chinese or Japanese.
- Advanced skills in tabular (DAX) query development, transforming data into actionable insights.
- Experience wielding Excel PowerPivot and PowerView to weave engaging data narratives.
- A knack for problem-solving, analytical thinking, and grasping complex concepts.
- A talent for translating technical jargon into clear, understandable terms for non-technical stakeholders.
- Eagerness to immerse yourself in our client's business processes and software landscape.
- Collaborative spirit to seamlessly integrate within diverse teams of software experts.
- Top-notch organization, task estimation, and deadline management skills, even under pressure.
- Proactive problem-solving, a flair for anticipating issues, and adeptness with agile methodologies.
- Familiarity with Azure and DataBricks, enriching your technical toolkit.
Your Responsibilities:
- Immerse yourself in our client's business, gaining expertise to become the data go-to expert.
- Validate, cleanse, and shape data to ensure its accuracy and utility.
- Craft compelling Power BI reports, infusing data with visual impact.
- Write, optimize, and breathe life into SQL queries and DAX code to craft data-driven narratives.
- Safeguard the PowerBI ecosystem and data security within it.
- Foster user delight by educating on PowerBI features and providing top-tier support.
- Drive the adoption of PowerBI and data-centric decision-making across the global organization.
- Communicate progress effectively to clients and tackle challenges proactively.
- Master time management, ensuring project milestones align with schedules.
- Emerge as an advanced technical support resource for tailored solutions.
- Contribute your skills to the on-call rotation within the IT group.
Embark on an exhilarating journey to decode data and shape global success. If you're a dynamic BI Analyst prepared to make your mark, seize this opportunity and help our client transform data into decisive actions.
BIAnalyst #DataMastery #GlobalOpportunity #PowerBIPro #JoinUsToday
Data Analyst - Business Intelligence
Posted today
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We provide both off-the-shelf and customised solutions for our clients ranging from data infrastructure, BI development, and data-driven business insights to forecasting, optimization, and computer vision. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.
**Our aim is to be one of the leading Data and AI companies globally**, where a diverse mix of talent want to come, stay and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership.
**About the job**
Our** Data Analyst - Business Intelligence **will be responsible for helping some of the biggest clients in South East Asia turn their data into magical solutions! By magical solutions we mean: turn data into information, information into insight and insight into business decisions.
Key responsibilities for this role would include creating dashboards and providing insights and actionable recommendations during presentations and business reviews.
**What are the responsibilities of a Data Analyst - Business Intelligence?**
**In this role, you will get to**:
- Gather information from clients and map business requirements to technical requirements
- Gather data, transform and aggregate from external and internal sources
- Develop dashboards and analytic reports to solve business problems and recommendations based on relevant data to clients
- Combine data analytics and data visualization techniques to support the team to develop analysis report
- Organize and present data in a clear, concise manner
**Requirements for this role are**:
- At least 3 years experience in business data, data visualization and storytelling with data
- Good or Strong proficiency in data visualization tools such as Tableau, PowerBI, or Qlik sense
- Strong proficiency in SQL and experience with database management
- Ability to connect BI tools with various data sources
- Experience in retail domain preferred
- Strong communication skills, verbally and written
- Ability to take a leadership role when necessary
- Ability to present to an executive at a business level
- Critical thinking, with analytical, troubleshooting, and problem-solving expertise
**Who excels in this role?**:
- Someone who loves getting things done!
- Open-minded - eager to ask for comments/suggestions for improvement
- Passionate for anything and everything data
- Able to share and suggest ideas
- Love doing tons of research
- Have a can-do and will-do attitude!
- Ready to tackle any challenges
**What are some of the benefits of working at Sertis?**:
- Hybrid working environment
- Up early or a slow starter in the morning? We have flexible office hours
- Mentorship programs for every level; from executive-level coaching to fresh grad
- Learning support
- to help you build your skillset and grow your career
- Get to work and learn from the best in the industry, and share your ideas with like-minded individuals
- We cultivate intelligence and learning so that our experts can become community leaders in their respective fields in the tech industry
- Amazing colleagues to enjoy company social outings, parties, and events
- Result-oriented workplace; We provide direction, not orders, and give you the autonomy to deliver your best work
- We work at the frontier of innovation in the AI industry
- Work on meaningful solutions that solve and improve real-life problems and challenges
- We run like a startup, and embrace the adventure; we focus on getting things done, while still having a down-to-earth and informal culture
**This is your chance to build your career in a growing data-driven industry.**
**APPLY NOW!
Senior Data Analyst - Business Intelligence
Posted today
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Job Description
**Our aim is to be one of the leading Data and AI companies globally**, where a diverse mix of talent want to come, stay and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership.
**About the job**
Our **Senior Data Analyst - Business Intelligence **will be responsible for helping some of the biggest clients in South East Asia turn their data into magical solutions! By magical solutions we mean: turn data into information, information into insight and insight into business decisions.
Key responsibilities for this role would include creating dashboards and providing insights and actionable recommendations during presentations and business reviews, engaging in both project management and requirement gathering.
**What are the responsibilities of a Senior Data Analyst - Business Intelligence?**
**In this role, you will get to**:
- Lead and manage small to medium sized Data analyst - Business intelligence team to deliver project
- Effectively manage and coach others, collaborating with internal and external parties
- Gather information from clients and map business requirements to technical requirements
- Gather Data, transform and aggregate from external and internal sources
- Guide team member to develop dashboards and analytic reports to solve business problems and recommendations based on relevant data to clients
- Combine data analytics and data visualization techniques to support the team to develop analysis report
- Organize and present data in a clear, concise manner
**Requirements for this role are**:
- At least 5 year of experience as a Business Intelligence and/or Data Warehouse design
- Strong technical experience and background in database projects
- Previous experience in data visualization tools such as Tableau, PowerBI, or Qlik sense
- Previous experience in data governance will be an advantage
- Have experience in ETL development with enterprise tools and Proficiency in SQL and experience with database management
- Previous experiences with analytics languages such as R & Python will be an advantage
- Strong communication skills (verbal and written), including the ability to effectively communicate with both technical and non-technical teams
- Ability to take a leadership role
- Ability to present to an executive at a business level
- Critical thinking, with analytical, troubleshooting, and problem-solving expertise
**Who excels in this role?**:
- Someone who loves getting things done!
- Open-minded - eager to ask for comments/suggestions for improvement
- Passionate for anything and everything data
- Able to share and suggest ideas
- Love doing tons of research
- Have a can-do and will-do attitude!
- Ready to tackle any challenges
**What are some of the benefits of working at Sertis?**:
- Hybrid working environment
- Up early or a slow starter in the morning? We have flexible office hours
- Mentorship programs for every level; from executive-level coaching to fresh grad
- Learning support
- to help you build your skillset and grow your career
- Get to work and learn from the best in the industry, and share your ideas with like-minded individuals
- We cultivate intelligence and learning so that our experts can become community leaders in their respective fields in the tech industry
- Amazing colleagues to enjoy company social outings, parties, and events
- Result-oriented workplace; We provide direction, not orders, and give you the autonomy to deliver your best work
- We work at the frontier of innovation in the AI industry
- Work on meaningful solutions that solve and improve real-life problems and challenges
- We run like a startup, and embrace the adventure; we focus on getting things done, while still having a down-to-earth and informal culture
**This is your chance to build your career in a growing data-driven industry.**
**APPLY NOW!
Business Analyst (Data & Analytics)

Posted 14 days ago
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Job Description
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
#LI-APAC
**Workplace type** **:**
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
Data Analytics Manager
Posted today
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Adobe Data Analytics
Posted today
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- Aggregating and analysing data from various digital platforms.
- Conducting market segmentation and modelling for marketing purposes.
- Designing and implementing data architecture for seamless integration.
- Translating numerical insights into actionable recommendations.
- Utilizing digital analytics to enhance reach, engagement, and conversion rates.
- Accessing and integrating conversion data from online retailers.
- Preparing detailed weekly and monthly reports, including graphical representations of data.
- Collaborating with cross-functional teams to derive actionable insights.
- Staying updated with the latest analytic tools and trends.
- Performing any additional duties as assigned.
**Requirements**:
- Bachelor’s degree in Marketing, Communication, New Media, Statistics, Mathematics, or relevant field.
- 7+ years of experience in market research, business analytics, or related roles.
- Proficient in data analysis with strong attention to detail and ability to multitask.
- Hands-on experience with analytics tools such as Adobe Analytics, Power BI, etc.
- Familiarity with marketing automation and analytical tools is essential.
- Demonstrated experience in analyzing marketing trends and consumer behaviour.
- Fluent in English and Thai, both written and oral.
- Knowledge of programming languages like SQL, Oracle, and Python is advantageous.
Data Analytics Manager
Posted today
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***At L’Oréal, there is never a dull day, the beauty lies in the freedom to go beyond with our empowering entrepreneurial culture. We take pride in developing young talents who have the passion and ambition to make an impact in the **beauty industry**.
**Join us on our mission to: Create the beauty that moves the world.**
Being part of L’Oreal,** “Talent”** is the core of our business. L’Oreal group’s success is built upon the collaboration of brilliant minds.
**You Will**
- Collect, process, and clean data from different data sources and provide insightful analysis report to support business.
- Develop and maintain databases to structuring data in systematic format.
- Use visualization tools and build data modeling to identify, analyze, and interpret patterns and trends in complex data sets that support business diagnosis and projection.
- Work with zone and data teams to locate and define new data process improvement and opportunities.
- Design, create and maintain comprehensive dashboards to track on key business metrics in the areas namely sales, customers, media and stock,
- Support cross-functional teams to understand business needs and provide analytical solutions.
- Stay current with the latest technology, techniques, and methods in data analytics.
**You Have**
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field.
- Proven working experience in data analysis or business data analytics.
- Knowledge of databases including SQL and Python.
- Experience in advanced statistics for analyzing datasets, Advanced Excel. Skill is a MUST.
- Proven data visualization tools utilization namely Power BI and Data Studio.
- Experience in ECOM and FMCG industry is preferable.
- Experience in machine learning and predictive modeling is a PLUS.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Excellent communication and collaboration skills.
- Ability to work independently and with team members from different backgrounds.
- Continuous learner with a passion for data and data-driven decision-making.
**Why us?**
We will support you through a tailor-made learning & development journey where you will receive constant career advice to empower you to navigate through and reach the Senior Leadership role of your dreams. Progressive leadership track - opportunities for growth & development.
- **Please visit "Your Application Space" to see the jobs you have already applied to. **:
Head of Data Analytics
Posted today
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**Key Responsibilities**:
- Managing the Data team and data projects (Data engineer, Data analyst, Data scientist and Machine learning).
- Designing and implementing the data strategies goals, long-term & short-term and opportunities for leveraging company data to drive business solutions.
- Assisting and providing technical solutions which are proper to data management or enhancement.- Analyzing the data from company databases to drive optimization, data model and improvement of product development, marketing techniques and business strategies.- Collaborating with product management and engineering departments to understand company needs and devise possible solutions.
- Developing the processes and tools to monitor and analyze model performance and data accuracy.- Managing and supporting team members to deliver the result, also oversee team members work for quality and guideline compliance.
**Wor**k Experience**:
- Experience in Data Analytics, Data pipeline, Data and business intelligence roles.
- Experiences manage the Data team and Data Scientist Analytics, Database and business intelligence projects.
- Strong knowledge in Data model management, predictive models, BI and Analytics.
- Technical skills: R, Python, SQL, Hadoop and BI tools.
- Experience in Cloud: Google Cloud Platform, AWS, Azure.
- Business English communication skills.(Coordinate with global team).
**Benefits**
- High salary.
- Health benefits/ Life Insurance (OPD/IPD)
- Annual leave + Personal leave
- High Performance bonus + Fixed bonus.
- Provident fund.
- Working time: M - F. (Flexible) / good office environment
If you are seeking a new and exciting role in a global company with a huge salary, benefits package, and leading innovation company, this is the opportunity to take your career to the next level.