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Experience:

3 years required

Job type:

Full-time

• Execute monthly ETL operations for the Actuarial team.
• Provide technical assistance to both Actuarial and Reinsurance teams.
• Update and maintain stored procedures, SQL scripts, and SSIS packages.
• Identify and resolve data discrepancies to uphold data quality.
• Troubleshoot technical issues and conduct root cause analysis.
• Develop and sustain data pipelines and workflows.
• Prepare technical documentation as needed.
• Work closely with stakeholders to translate business needs into effective solutions.
• Contribute to process optimization and share knowledge within the team.
• ABOUT YOU
• Experience in data engineering or related field (0-3 years).
• Proficient with SSMS, SSIS, Databricks, and Azure Cloud Services.
• Skilled in T-SQL, SQL, Spark, and Python.
• Strong understanding of MSSQL and Azure Blob Storage.
• Academic background: degree in computer science, engineering, or relevant field.
• English and Thai fluent.
• You demonstrate a growth mindset and a proactive attitude, eager to learn and share expertise.
• You are able to work independently and collaborate effectively within a team.
• You demonstrate strong communication skills.
• Insurance sector knowledge, particularly in Actuarial and Reinsurance, is a plus.
• Familiarity with WTW Unify and IBM DB2 (AS400) is a plus.
• WHY AMARIS?
• An international community bringing together 110+ different nationalities
• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
• A robust training system with our internal Academy and 250+ available modules
• A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.)
• At Mantu, sustainability is part of everything we do. You'll have the opportunity to turn your ideas into action and make a tangible impact. Every day, our teams bring our ESG commitments to life, from reducing our footprint to driving positive change within our communities. Through our WeCare Together program, you'll be empowered to design and lead projects that create real social or environmental impact, with the company's full support.
• Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

Job type:

Full-time

• Design and develop data storage structures from various systems, ensuring data integration for efficient usage.
• Organize data in a format that is ready for use and supports analysis.
• Define report formats that meet the needs of different departments within the organization.
• Develop automated reporting systems that can deliver data to each team according to scheduled timelines.
• Design reports to support product category management and space management based on POS (Point of Sale) data.
• Process and analyze data from POS systems, as well as market survey data, to develop sales strategies for different areas and store segments.
• Analyze sales data and business performance, and compare them against targets.
• Analyze promotional campaign data and summarize results to present to management.
• Analyze marketing data including growth rate, pricing, product lifecycle, distribution, merchandising, and repeat purchases, by compiling reports from both internal company data and competitor data.
• Participate in annual budgeting (sales and promotional activities).
• At least 4 years of experience in data structure design, automated reporting, and data analysis for business development, with a strong focus on Power BI and SQL.
• Knowledge of retail / FMCG business operations.
• Strong strategic thinking and advanced data analysis skills.
• Familiarity with Big Data tools, analytics platforms, and digital technologies.
• Proficiency in data visualization tools such as Power BI and SQL.
• Contact Person: [email protected] (Apitchaya).

Skills:

SQL

Job type:

Full-time

• มีทักษะและประสบการณ์ด้านการออกแบบ/พัฒนาระบบ/เขียนโปรแกรม Web/Mobile Application ไม่น้อยกว่า 1 ปี.
• สามารถทำงานบริหารและจัดการงานโครงการพัฒนาระบบงาน IT (Application Implementation Project) หรือสนับสนุนการใช้งานระบบ (Application Support).
• หากมีประสบการณ์ด้านต่อไปนี้ จะได้รับการพิจารณาเป็นพิเศษ.
• Programming Language เช่น MS SQL, MS SharePoint,.NET/ Web Programming / Mobile App programming.
• Aplication ด้าน Marketing & Retail Technology เช่น POS, CRM, Loyalty, Website, Mobile App, LineOA, MARTECH,AI/ML for Marketing & Retail business,CDP.
• ปริญญาตรีหรือปริญญาโทในสาขาวิศวกรรมคอมพิวเตอร์, วิทยาศาสตร์คอมพิวเตอร์, เทคโนโลยีสารสนเทศ หรือสาขาอื่นที่เกี่ยวข้อง.
• เหตุผลดีๆ ที่คุณมองหาจากเรา.
• เราให้ความสำคัญกับพนักงานทุกคนอย่างเท่าเทียม ปลูกฝังให้ทุกคนยึดมั่นในการประกอบสัมมาชีพ อย่างมีบรรษัทภิบาลที่ดี.
• เราให้ความสำคัญต่อการพัฒนาศักยภาพพนักงานในทุกๆ ด้าน ด้วยโปรแกรมการฝึกอบรมคุณภาพให้เหมาะสมกับแต่ละคน เพื่อยกระดับการทำงานของพนักงานอย่างมืออาชีพ.
• สำนักงานใหญ่ของบางจาก ถูกออกแบบให้เป็น Smart Office and Smart Display Solution ที่มีความหรูหรา ทันสมัย และประหยัดพลังงาน.
• ความอบอุ่นแบบพี่น้อง คือหัวใจในการดูแลพนักงานใหม่ที่ก้าวเข้ามาในครอบครัวของเรา.
• ความปลอดภัยในการทำงานยังเป็นอีกหนึ่งสิ่งที่สำคัญสูงสุดของธุรกิจปิโตรเลียม ดังนั้นพนักงานบางจากทุกคนจึงต้องผ่านการอบรมตามมาตรฐานความปลอดภัยและอาชีวอนามัยอย่างเข้มข้น.
• พนักงานสบายใจได้กับโปรแกรมประกันสุขภาพ OPD/IPD และเรายังให้เงินช่วยเหลือค่ารักษาพยาบาลสำหรับบุพการี.
• Work life balance คือสิ่งสำคัญ เวลาการทำงานที่ยืนหยุ่นทำให้คุณจัดสรรเวลาได้อย่างลงตัว.

Skills:

Kafka, Python, SQL

Job type:

Full-time

• Develop and maintain credit risk assessment and lending decisions modules.
• Expertise for handling large financial databases and credit data manipulation.
• Design and implement credit-risk decisioning model solutions using API-based frameworks (e.g., Flask, FastAPI) or event-driven architecture (e.g., Kafka, Pub/Sub), along with other suitable technologies.
• Monitor model performance to ensure high accuracy and reliability in credit decisions.
• Data Analysis & Risk Assessment.
• Clean and preprocess financial datasets, particularly credit lending and risk data.
• Conduct advanced statistical analyses to support risk assessment and lending decisions.
• Technical Skills.
• Proficiency in Python, SQL, and machine learning libraries (TensorFlow, PyTorch, Scikit-Learn).
• Experience with cloud platforms (AWS,GCP) for model deployment.
• Knowledge of statistical and machine learning techniques for risk modeling.
• Domain Expertise.
• Understanding of credit lending and risk assessment principles.
• Experience in financial data analysis within regulatory constraints.
• Proven track record in developing credit decision engines (optional).
• Education & Experience.
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field.
• Minimum 3 years experience in retail lending or similar role.
• Additional Requirements.
• Strong communication skills for presenting complex findings and process flow to management.
• Experience with data visualization tools (Tableau, Power BI).
• Ability to work collaboratively with cross-functional teams..
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.".

Skills:

Product Owner, Data Analysis, SQL, English

Job type:

Full-time

• Lead incident management and act as the technical escalation point for critical issues; perform Root Cause Analysis (RCA) and implement preventive actions to reduce recurring incidents.
• Own the defect management lifecycle as Product Owner (PO), including defect triage, prioritization, tracking, and analysis to drive continuous improvement.
• Monitor application performance and system health using tools such as Dynatrace, and collaborate with development teams to improve system reliability.
• Support troubleshooting and data analysis using SQL, including ad-hoc data fixes when required.
• Collaborate with teams to ensure stable operations, support system releases, user manual and maintain documentation.
• Mentor junior team members by providing technical support, knowledge sharing, and best practices to enhance team capability and performance.
• Effectively multi-task handling under pressure with the good quality.
• Bachelor s degree/Master s degree in Computer Science, Computer Engineering or related fields.
• At least 5 years of experience in Application Support, Production Support.
• At least 2 years of experience in senior role.
• Experience with Cloud platform, AWS is preferred.
• Familiarity with Linux/Unix operating system.
• Familiarity with relational databases and SQL.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work under pressure in production environments.
• Strong ownership and accountability mindset.
• Good English communication skill.
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/bprivacynoticeen).
• 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.

Skills:

Statistics, Excel, SQL, English

Job type:

Full-time

• 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.
• www.ptgenergy.co.th.

Skills:

SQL

Job type:

Full-time

• ศึกษาและทำความเข้าใจ Application / Software ที่ใช้ในองค์กร เพื่อให้สามารถ support user ได้อย่างถูกต้อง.
• ตรวจสอบและแก้ไขปัญหาต่างๆ ที่เกิดขึ้นกับ Application ให้เป็นไปตาม SLA ที่กำหนด.
• ทำงานร่วมกับทีมพัฒนาระบบ เพื่อแก้ไขปัญหาที่เกิดขึ้นกับ Application.
• จัดทำเอกสารรวบรวมการแก้ไขปัญหาเพื่อเป็น Knowledge Base.
• ให้การสนับสนุนและให้คำปรึกษาเกี่ยวกับการใช้งาน Application.
• มีทักษะในการคิดเชิงวิเคราะห์อย่างเป็นระบบและทำงานแบบมุ่งผลสำเร็จ.
• มีทัศนคติ can-do ในการทำงาน.
• สามารถทำงานภายใต้สภาวะกดดันและเวลาอันจำกัดได้ดี.
• มีความสามารถในการสื่อสาร มนุษย์สัมพันธ์ที่ดี สามารถทำงานร่วมกับผู้อื่นได้ดี.
• มีความรู้เกี่ยวกับฐานข้อมูล และภาษา SQL.
• สามารถใช้คำสั่งจาก MS SQL ได้.
• จบการศึกษาระดับปริญญาตรี สาขาวิชาวิทยาการคอมพิวเตอร์ วิศวกรรมคอมพิวเตอร์ หรือสาขาวิชาที่เกี่ยวข้อง.
• สามารถปฏิบัติงานเป็นกะได้.
• มีประสบการณ์ในงาน Application support (จะพิจารณาเป็นพิเศษ).

Skills:

Oracle, SQL, NoSQL

Job type:

Full-time

• Lead the design and architecture of core banking systems (e.g. Thought Machine, FIS Profile, Systematics, IBS, or other FIS platforms)..
• Ensure alignment with business requirements, regulatory standards, and enterprise architecture principles..
• Technical Leadership.
• Define and drive system modernization, cloud migration, and API driven banking solutions..
• Provide architectural guidance on scalability, security, performance, and resiliency.
• Integration & Customization.
• Design and implement integration strategies between core banking platforms and digital banking, payment systems, and regulatory/compliance solutions..
• Address product limitations and customization requirements, especially within Thought Machine environments..
• Stakeholder Engagement.
• Work closely with business leaders, product owners, developers, and vendors to ensure successful solution delivery..
• Act as a trusted advisor on core banking architecture decisions.
• Performance & Security.
• Ensure systems meet high availability, performance, security, and regulatory compliance standards..
• Innovation & Emerging Technology.
• Stay up to date with AI, GenAI, cloud computing, and digital banking trends..
• Proactively recommend innovative solutions to enhance banking architecture and customer experience.
• Project Delivery.
• Lead end to end project implementation, from planning and design through go live and post implementation support..
• Ensure delivery within scope, timeline, and budget..
• 8+ years of direct experience in core banking architecture and implementation..
• Strong knowledge of banking processes, digital transformation, and regulatory frameworks..
• Hands on experience implementing and architecting solutions on Thought Machine, including understanding its limitations..
• Proven experience with cloud platforms (AWS, Azure, or GCP), microservices architecture, and API integrations..
• Strong background in databases (Oracle, SQL, NoSQL) and DevOps practices..
• Experience working in Agile/Scrum environments and leading cross functional teams..
• Excellent communication, presentation, and stakeholder management skills..
• Ability to work independently and manage multiple complex initiatives.

Experience:

2 years required

Skills:

Javascript, TypeScript, SQL, node.js, Git, Thai, English

Job type:

Full-time

• Analyze, design, and develop software applications.
• Follow given requirements and specifications for software development.
• Clearly and regularly communicate with management and technical support colleagues.
• Test, maintain and recommend software improvements to ensure strong functionality and optimization.
• Bachelor's degree in computer science or related degree.
• 2 or more years of experience in web development or related roles.
• Good programming skills in JavaScript, TypeScript, Python, Java, or other relevant languages.
• Mobile application or web development skills.
• Teamwork and communication skills.
• Good command in English.
• Location: MRT Bangkae (2 min walk).

Skills:

Automation, Data Analysis, SQL, English

Job type:

Full-time

• Own and manage end-to-end operations for both payment and card services, ensuring smooth execution, timely issue resolution, and service quality.
• Oversee key operational processes, including card issuance, delivery, activation, reissuance, transaction monitoring, and user issue resolution.
• Monitor system-wide abnormalities across modules and platforms; coordinate with tech teams, vendors, and external partners to resolve issues effectively.
• Proactively identify gaps and inefficiencies, and drive initiative improvements with an entrepreneurial mindset and strong ownership.
• Apply analytical techniques to uncover operational risks and bottlenecks, and turn complex data into actionable insights to support strategic decisions.
• Build and maintain automation tools, dashboards, and reports to enhance monitoring and reduce manual workload.
• Maintain SOPs and escalation workflows, while aligning with internal teams on SLAs and cross-functional procedures.
• Lead continuous improvement initiatives to scale operations effectively and support business growth.
• Requirements:Bachelor s or Master s degree in Engineering, BBA, or any related field.
• Effective in fast-paced, complex environments with strong problem-solving, leadership, and analytical skills. Detail-oriented, organized, and a strong team player.
• Customer-oriented, open-minded, eager to learn, have good interpersonal skills, communication skills and good command of English.
• Flexible with working hours to handle issues that may arise at unusual times.
• Proficient in data handling and organization, especially with MS Excel or Google Sheets.
• Ability to solve complex problems using data analysis; experience with SQL and coding (e.g., Google Apps Script, JavaScript, Python) is a plus.
• Has passion for the FinTech industry.

Skills:

Data Analysis, SQL, Problem Solving, English

Job type:

Full-time

• Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
• Implement data solutions and data comprehensiveness for data customers.
• Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
• Retrieve and prepare data (automated if possible) to support business data analysis.
• Ensure adherence to the highest standards in data privacy protection and data governance.
• Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
• Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience in data processing batch / real time / nearly realtime.
• Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
• Experience with web or software development with Java,Python or similar.
• Experience with Agile methodology is a plus.
• Good in communication and writing in English.
• Good interpersonal and communication skills.

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

Skills:

SQL, Java, Python

Job type:

Full-time

• Document data sources in enterprise data catalog with metadata, lineage and classification information.
• Develop aggregations and algorithms needed for reporting and analytics with low level complexity.
• Implement minor changes to existing data visualization applications, reporting dashboards.
• Document modifications to reporting applications based on modifications applied.
• Comprehend and adhere to all data security policies and procedures.
• Create data tools for analytics and data scientist team members.
• Build analytical tools to provide actionable insights into key business KPIs, etc.
• Work with data engineers to optimize pipelines for scalability and data delivery.
• Background in SQL, databases and/or data science OR.
• BS/MS in software engineering, computer science, mathematics.
• 3+ years' hands-on experience with a data science background.
• Some programming skills in Java, Python and SQL.
• Clear hands-on experience with database systems - Cloud technologies ( e.g. AWS, Azure, Google), in-memory database systems ( e.g. HANA, Hazel cast, etc ) and other database systems - traditional RDBMS ( e.g. Teradata, SQL Server, Oracle), and NoSQL databases ( e.g. Cassandra, MongoDB, DynamoDB).
• Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc.
• Experience with data tools for visualizations, analytics and reporting.
• Strong analytical skills with ability to research, assess and develop observations/findings.
• Ability to communicate findings, approaches to cross functional teams and stakeholders.

Experience:

3 years required

Skills:

Industry trends, SQL, NoSQL, English

Job type:

Full-time

• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously i ...
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

Skills:

SQL, ETL, Project Management, English

Job type:

Full-time

• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs.
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor s degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• Additional Desirable Qualification.
• CORE Competencies.

Experience:

2 years required

Skills:

Finance, Statistics, SQL

Job type:

Full-time

• Customer Lifecycle Analytics You will collaborate with Customer, Product, and Product Marketing teams to build a unified view of the customer experience across the lifecycle, using segmentation and cohort analysis to uncover insights. You ll continuously learn from customer behaviour and feedback, feeding those learnings back into future campaigns and tactics so our programs stay relevant and impactful..
• Campaign Performance, Reporting & Optimisation You will consistently monitor, iterate, and report on lifecycle campaigns by reviewing multi-channel communication perfor ...
• Data Enablement & Audience Strategy You will collaborate with Strategic Operations and data teams to design and refine audience pathways for customer communications and commercial programs, ensuring we can target, segment, and orchestrate journeys effectively across the funnel..
• What you have.
• 2 - 3 years experience in an analytical role (Business Analyst, Data Analyst, Marketing Analyst or similar).
• Bachelor degree in quantitative field (Business, Finance, Statistics, Data Science, Engineering).
• Strong analytics skills and good understanding of the customer lifecycle marketing funnel.
• Experience working with complex audience segmentations.
• Takes end-to-end accountability for campaign analytics, from cohort identification to post campaign analysis.
• Rockstar collaborator who loves working with many stakeholders to produce a great customer outcome.
• Thrives on the pace of a high growth tech environment and works at speed while delivering a high quality outcome.
• Self-starter and multitasker; comfortable juggling and managing multiple projects and driving them to completion.
• Technical Skills.
• Strong knowledge in SQL for extracting, manipulating and interpreting data (Snowflake / Databricks or similar).
• Strong knowledge in MS Excel/Google Sheet including pivot table, vlookup, transformation, visualisation.
• Proficiency in creating dashboards and visualisations using BI platforms like Tableau, Looker Studio, PowerBI or similar.
• Experience in using Customer Data Platform like Hightouch to connect data points from data warehouse to crm tool.
• Bonus Experience.
• Solid working knowledge of marketing automation platforms such as Marketo, Intercom, and social channels is an advantage.
• Marketing experience in SaaS or Tech business with a real passion for the customer.
• Digital native who grasps new technology easily.
• Our Perks & Benefits .
• Equity packages for you to be a part of the SiteMinder journey.
• Hybrid working model (in-office & from home).
• Mental health and well-being initiatives.
• Generous parental (including secondary) leave policy.
• Paid birthday, study and volunteering leave every year.
• Sponsored social clubs, team events, and celebrations.
• Employee Resource Groups (ERG) to help you connect and get involved.
• Investment in your personal growth offering training for your advancement.
• Does this job sound like you? If yes, we'd love for you to be part of our team! Please send a copy of your resume and our Talent Acquisition team will be in touch.
• When you apply, please tell us the pronouns you use and any adjustments you may need during the interview process. We encourage people from underrepresented groups to apply.

Skills:

Product Owner, Data Analysis, SQL, English

Job type:

Full-time

• Lead incident management and act as the technical escalation point for critical issues; perform Root Cause Analysis (RCA) and implement preventive actions to reduce recurring incidents.
• Own the defect management lifecycle as Product Owner (PO), including defect triage, prioritization, tracking, and analysis to drive continuous improvement.
• Monitor application performance and system health using tools such as Dynatrace, and collaborate with development teams to improve system reliability.
• Support troubleshooting and data analysis using SQL, including ad-hoc data fixes when required.
• Collaborate with teams to ensure stable operations, support system releases, user manual and maintain documentation.
• Mentor junior team members by providing technical support, knowledge sharing, and best practices to enhance team capability and performance.
• Effectively multi-task handling under pressure with the good quality.
• Bachelor s degree/Master s degree in Computer Science, Computer Engineering or related fields.
• At least 5 years of experience in Application Support, Production Support.
• At least 2 years of experience in senior role.
• Experience with Cloud platform, AWS is preferred.
• Familiarity with Linux/Unix operating system.
• Familiarity with relational databases and SQL.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work under pressure in production environments.
• Strong ownership and accountability mindset.
• Good English communication skill.
• Please note that we will get in touch with shortlisted candidates only.
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• Applicants can read the Personal Data Protection Announcement of the Bank's Human ResourcesFunction by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/bprivacynoticeen).
• 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.

Skills:

Salesforce, SQL, Tableau

Job type:

Full-time

• Extract, compile, and synthesise data from SiteMinder product platform, Salesforce CRM, and Snowflake data warehouse using SQL queries.
• Build and maintain dynamic dashboards in Google Sheets, Tableau, Salesforce to create unified performance visibility.
• Monitor real-time pipeline and performance health metrics across all regions, tracking conversion rates, activation timelines, and customer progression.
• Identify growth opportunities and revenue trends through cross-system data analysis.
• Develop automated reporting frameworks that pull from multiple data sources to track KPIs and operational metrics.
• Analyse customer behaviour patterns and product usage data to optimise onboarding pathways.
• Provide actionable insights that drive growth outcomes and improve conversion metrics.
• Create or manage forecasting models using historical data from Salesforce, Snowflake, and product analytics.
• Partner with leadership to translate data findings into strategic initiatives.
• Support business decision-making with comprehensive performance analytics delivered through intelligent dashboards and reports.
• What you have.
• Technical Proficiency.
• Advanced SQL skills for data extraction, transformation, and analysis.
• Experience with Snowflake data warehouse platform.
• Proficiency in Tableau for data visualisation and dashboard creation.
• Strong expertise in Salesforce CRM for pipeline management and reporting.
• Advanced Google Sheets skills including complex formulas, pivot tables, and data manipulation.
• Experience & Background.
• Experience in operations analytics, revenue operations, or similar role.
• Experience working with SaaS products and CRM systems.
• Advanced proficiency in Salesforce, Tableau, Snowflake, Google Suite.
• Proven SQL skills and experience with data visualisation tools.
• Experience working with multi-region, multi-language operations.
• Track record of driving operational efficiency through data-driven initiatives.
• Experience working across multiple regions/time zones preferred.
• Excellent project management and stakeholder management skills.
• Flexibility of working hours is required.
• Our Perks & Benefits.
• Equity packages for you to be a part of the SiteMinder journey.
• Hybrid working model (in-office & from home) / Fully remote.
• Mental health and well-being initiatives.
• Generous parental (including secondary) leave policy.
• Paid birthday, study and volunteering leave every year.
• Sponsored social clubs, team events, and celebrations.
• Employee Resource Groups (ERG) to help you connect and get involved.
• Investment in your personal growth offering training for your advancement.
• Does this job sound like you? If yes, we'd love for you to be part of our team! Please send a copy of your resume and our Talent Acquisition team will be in touch.
• When you apply, please tell us the pronouns you use and any adjustments you may need during the interview process. We encourage people from underrepresented groups to apply.

Skills:

MySQL, SQL, System Testing

Job type:

Full-time

• Develop and maintain applications.
• Work with databases such as PostgreSQL, MySQL, or SQL Server to develop and optimize system functionality.
• Assist in analyzing requirements and implementing system features according to specifications.
• Support system testing, debugging, and troubleshooting of application issues.
• Collaborate with team members to deliver projects according to project timelines and requirements.
• Manage code and version control using Source Control systems (e.g., Git, SVN).
• Participate in the Software Development Life Cycle (SDLC) including development, deployment, and system support.
• Minimum 2 years of experience in System Analysis and Design.
• Detail-oriented in producing technical documentation according to standardized formats.
• Minimum 3 years of experience in C# programming.
• Experience in developing applications using C#, jQuery, HTML5, and CSS.
• Experience working with at least one database system such as PostgreSQL, MySQL or SQL Server.
• Ability to design efficient program structures and algorithms to support system scalability, large data volumes, and increasing numbers of users.
• Strong understanding of Object-Oriented Programming (OOP) concepts and their practical application.
• Strong analytical and problem-solving skills, with the ability to identify root causes and resolve issues effectively.
• Experience with Source Control systems (e.g., Git, SVN, or similar tools).
• Experience participating in the full Software Development Life Cycle (SDLC), including design, development, deployment, and post-implementation support and troubleshooting.

Skills:

Problem Solving, SQL, Automation, English

Job type:

Full-time

• Investigate and solve technical issues related to functionality, workflow, cloud services and system configuration.
• Provide root cause analysis to pinpoint the underlying causes of recurring or critical issues to prevent future occurrences.
• Understand LSEG technology/knowledge including architecture, cloud's micro-services and workflows of our products.
• Provide guidance to customers when they have questions related to our product functionality and API Usage.
• Support product managers in technical areas to satisfy challenged business requirements.
• Collaborate with development, content, customer support and operation teams to ensure smooth progression of client query and issue/incident's investigation.
• Responsible for improving and documenting technical knowledge & processes around application support (using Confluence).
• Provide on-call support during late night and weekend for critical incidents.
• Customers and service focused, with determination to meet their needs and expectations.
• An ability to work in a fast-paced, high demand work environment.
• Self-motivated and able to work both independently and in collaboration with other technologists at all levels.
• Qualifications and Experience: Bachelor s degree or equivalent experience in Computer Science, Information Technologies or related field.
• Experienced in a role which requires high problem solving and analytical skills.
• Experienced with AWS Cloud services such as EC2, S3, RDS, Lambda, API Gateway, SQS, SNS, etc.
• Familiarity with AWS CloudWatch for investigating issues, monitoring dashboards, and alarms.
• General understanding of Database and basic SQL.
• Have a good understanding of REST API and OpenAPI Specification.
• Scripting and automation skills using Python, PowerShell, or other languages.
• ITIL knowledge is desirable.
• Strong interpersonal and proficient in English communication.
• Career Stage: Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.