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āļāļąāļāļĐāļ°:
Architecture, Big Data, Teamwork, SQL, ETL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Data management developer is responsible for the successful delivery of business intelligence information to the entire organization and is experienced in BI development and implementations.
- Design stable, reliable and effective data architecture and data mart.
- Understand of BI best practices and be able to create relational structures, dimensional data modeling, structured query language (SQL) skill, data warehouse and reporting techniques, performing ETLs and validating results with business representatives ...
- Support implemented BI solutions by: monitoring and tuning queries and data loads, addressing user questions concerning data integrity, monitoring performance and communicating functional and technical issues.
- Bachelor or Master Degree in Computer Engineering, Computer Science, Technology information systems, or any other IT related field.
- E.
- xperiences in data warehousing development and architecture hands-on physical/logical database and data mart design, experience in big data is advantage.
- Strong SQL development skills -- knowledge of writing complex queries, and query tuning.
- Experience data processing with ETL/BI tools.
- Good communication, collaboration skills and teamwork.
āļāļąāļāļĐāļ°:
Project Management, Architecture, SQL, ETL, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- A Business and Data Analyst is a data analytic expert, who identify the business needs into data model, analytics, and business intelligent solutions. The job holder must be able to design, build, and implement BI solutions, with a view to driving business results.
- Key Accountabilities.
- 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.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
6 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Cloud Computing, Architecture, Postgre SQL, Automation, Leadership Skill
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- AI & Advanced Analytics Enablement.
- Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
- Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
- Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
- Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
- Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
- Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
- Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
- Data Platform & Engineering Leadership.
- Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
- Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
- Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
- Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
- Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
- Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
- Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
- Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
- Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
- Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
- Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
- AI Platform & Infrastructure.
- Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
- Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
- Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
- Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
- Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
- Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
- Team Leadership & Capability Building.
- Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
- Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
- Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
- Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
- Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
- Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
- Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
- Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
- 6+ years of experience in Data Platform Engineering, Data Engineering, Big Data, or AI Platform development, with experience leading engineering teams.
- Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
- Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
- Strong programming skills in Python.
- Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
- Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
- Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
- Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Architecture, Big Data, Teamwork, SQL, ETL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Data management developer is responsible for.
- the.
- successful delivery of business.
- intelligence information to the entire organization and is experienced in BI.
- development and implementations.
- Design stable, reliable and effective data.
- architecture and data mart.
- Understanding of BI best practices and be able.
- to create relational structures, dimensional data modeling, structured query.
- language (SQL) skill, data warehouse and reporting techniques, performing ETLs.
- and validating results with business representatives.
- monitoring and tuning queries and data loads, addressing user questions.
- concerning data integrity, monitoring performance and communicating functional.
- and technical issues.
- Bachelor or Master Degree in Computer.
- Engineering, Computer Science, Technology information systems, or any other IT.
- related field.
- At least 3 years of experiences in data.
- warehousing development and architecture hands-on physical/logical database and.
- data mart design, experience in big data is advantage.
- Strong SQL development skills -- knowledge of.
- writing complex queries, and query tuning.
- Experience data processing with ETL/BI tools.
- Good communication, collaboration skills and.
- teamwork.
āļāļąāļāļĐāļ°:
Business Development, eCommerce
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- ecommerce has transcended physical and digital channels as brands and retailers continue to invest in digital to grow their business while juggling with data, privacy and logistical challenges. The "e" in "ecommerce" is superfluous.
- aCommerce provides YOU the opportunity to hone your career in the digital & tech sector, with a very exciting position of Key Account Manager in our EmQuartier-based office in Thailand.
- As a.
- Key Account Manager., you will be the key contact point for end-to-end process and services including, internal & external function. Internal function includes channel operation, Marketing, operation, customer service, and technology functions to manage service to brand and improve the customer experience. In addition, you will also be developing and managing relationships with marketplaces and new channels to drive client's sales coverage and growth.
- In order to qualify to this role, you should have experience on financial, business development and account management. The desired candidate should be a fast learner, with strong interpersonal skills, logical thinking and problem-solving skills.
- Performance Management.
- Manage overall account profitability via P&L management.
- Ensure all clients and channels are successfully on.
- boarded on time and deliver KPI on track.
- Manage to maximize GMV with day-to-day collaboration with client and channels.
- Customer budget management and P&L execution including reimbursement to deliver agreed GMV, Take Rate, and Profit.
- Ensure optimal product presentation and visibility on online channels.
- Lead all initiatives Across different services.
- Coordinate with internal cross function and external parties.
- Establish and monitor progress against key performance indicators.
- Account planning (sales and promotions).
- Partner Service.
- Responsible for client relationship and retain client satisfaction.
- Serve as the "face of aCommerce" and primary point of contact for client executives and key stakeholders at each assigned account.
- Work as a consultant to clients on how to increase online sales through merchandising, promotion planning and onsite marketing activities.
- Manage fast.
- growing ecommerce sales of large brand owners through their own web store or other online channels and initiative channel.
- Ensure that regular reviews are carried out with customers, to ensure that their needs are being met and that excellent customer service is achieved and, developing future improvements/services for the customers.
- Ensure operational performance on all areas.
- Identify and anticipate additional opportunities for enhancements, improvements or new services with existing clients.
- Manage inventory including forecast, ordering and DOH controlling.
- Works with other departments e.g. warehouse, call center, web dev etc., to ensure that everything is ready for go-live.
- Present analysis and recommendations to key stakeholders both client-side and internally.
- Proactively work for the achievement of short and long-term business objectives meet sales goal.
- Responsible for business growth in market.
- Assure consistent sales growth and achievement of sales goals, targets and activities in assigned business by identifying potential opportunities and growing existing business including monitor market trends and competitor activity in assigned business.
- Strategically report market intelligence to Business Manager in a correct and timely manner.
- Business Development.
- Contract Management by helping translate the outlined solution into a high level initial statement of work (SOW) and helps secure the client's agreement in sales meetings with the prospect or client (system & integration options, cost model, forecast value, activity planning, requirements definition, etc.).
- Working closely with solution design and business development to manage key customers (existing and new), thereby improving turnover and profitability.
- Scope of Work (SOW) & Trade Agreement management for existing accounts and input industry insight to SD for new customers.
- To know more about this role, please click.
- here.
- About.
- aCommerce is the leading ecommerce enabler and e-distributor in Southeast Asia, delivering retail solutions for global brands such as L'Oreal, Samsung, and Unilever. Founded in May 2013, aCommerce has over 700 staff across offices and fulfillment centres in Singapore, Thailand, Indonesia and the Philippines.
- The company is committed to equal opportunities for all of employees and to a work environment free of discrimination and harassment. All employment decisions at aCommerce are based on business needs, job requirements and individual qualifications, without regard to race, religion or belief, gender, sexuality, age, family or parental status, or any other status that may be protected by the laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics.
- aCommerce DNA.
- Everyone in aCommerce lives by a set of core values that we call our DNA. These core values serve as the guide in how we work towards our common goals and targets.
- Customers above all: The customer is at the heart of everything we do. Their success is our success.
- Lead by example: Earn respect through hard work and perseverance, not seniority.
- Solve problems: A "can do" attitude solves a multitude of problems.
- Lean on your teammates: Replace "I" with "we". Collaboration brings you a long way.
- Keep it real: Our diversity makes us strong, we treat each other equally and respectfully.
- The is made up of highly ambitious individuals driven to innovate, build and succeed and is always looking for like-minded self-starters to join.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Analytical Thinking, SQL, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design, develop, and manage SCG's sales statistics databases and sales reporting systems to support performance measurement, KPI tracking, and business monitoring. Provide data insights and analytical support to internal users for planning, analyzing, and evaluating sales programs and customer benefit initiatives, enabling data-driven decision-making across the organization.
- Design, develop, and maintain sales databases, data models, and data structures to ensure data accuracy, consistency, and accessibility.
- Develop, enhance, and maintain standard and ad hoc reports, dashboards, and analytical solutions to support performance monitoring, KPI tracking, and business decision-making.
- Conduct user training and provide support to promote effective data utilization and improve data literacy across the department.
- Manage data access permissions and ensure appropriate governance, security, and compliance in the use of business data.
- Bachelor's degree or higher in Computer Science, Information Systems, Data Science, Statistics, Business Analytics, Engineering, or a related field. (A minimum GPA of 2.70 for the Bachelor's degree).
- Experience in Business Intelligence, Data Analytics, Database Development, Reporting, or related areas is preferred; fresh graduates with strong technical skills are welcome to apply.
- Strong proficiency in SQL and database management, including database design, data modeling, and data warehouse concepts.
- Strong understanding of sales performance metrics, KPIs, and business reporting concepts, with analytical thinking skills and strong business logic.
- Good communication and presentation skills to convey complex information in an easy-to-understand format. Good command of English, both written and spoken, is preferred.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
8 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Teamwork, SAP, ERP, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- If you currently work for Brown-Forman, please apply by clicking the.
- Careers.
- icon on the Workday portal.
- For best results, use Google Chrome to view this page.
- Meaningful Work From Day One.
- This role leads the SEA Demand Planning and IBP strategy serving as the primary liaison between commercial teams, customers, and Supply Planning. You will collaborate across functions to refine demand forecasts using advanced analytics, transforming commercial goals into actionable supply plans. From supporting the timely phase-in of new products to identifying cost-saving optimizations, your work will directly impact our end-to-end supply chain performance. We are looking for a detail-oriented lead with the analytical prowess to solve complex logistical challenges and the communication skills to align diverse stakeholders.
- What You Can Expect.
- Forecasting.
- Lead the monthly IBP cycle by facilitating high-impact collaboration between Finance, Marketing, and Commercial teams to reach a consensus forecast.
- Develop long-term & short-term demand plans by combining statistical modeling with qualitative market intelligence, trend analysis, and sales exception management.
- Lead Sales Forecast meetings to challenge assumptions, reduce bias, and continuously improve forecast accuracy.
- NPD Management.
- Act as the supply chain lead for New Product Introductions (NPI), coordinating with Registration, Marketing, and Supply teams to ensure flawless, on-time market launches.
- Manage production transitions, packaging changes, and Route-to-Consumer (RTC) shifts, minimizing supply disruption and maximizing market responsiveness.
- Supply Chain Optimization.
- Ensure the Inventory in markets are optimal and take timely action to deplete the slow moving inventory.
- Partner with Global Supply Planning to manage inventory replenishment and mitigate potential shortages through proactive communication.
- Plan and oversee Value-Added Services (VAS) operations within the warehouse to ensure custom market requirements are met.
- Leverage your analytical prowess to audit end-to-end supply chain processes, identifying cost-saving opportunities and efficiency gains.
- Performance Management.
- Manage key supply chain metrics, providing transparent reporting and actionable insights to senior management.
- Support both local and global supply chain initiatives from conception through execution, serving as the regional subject matter expert.
- What You Bring to the Table.
- Experience: 8+ years of supply chain experience, with a minimum of 5 years dedicated to Demand Planning or a closely related strategic role.
- Education: Bachelor's degree in supply chain, Business, or a related quantitative field.
- Technical Savvy: High proficiency in ERP systems (SAP IBP & Kinaxis preferred) and the MS Office Suite.
- Analytical Mindset: A proven ability to translate complex data into business stories and strategic decisions.
- Interpersonal Excellence: A skilled communicator who can navigate diverse cultures and influence stakeholders at all levels of the organization.
- Adaptability: You thrive in a complex, changing environment and possess the organizational skills to manage multiple high-priority workstreams simultaneously.
- Language: Fluency in English is required.
- We believe great people build great brands. And we know there is Nothing Better in the Market than a career at Brown-Forman. Being a part of Brown-Forman means you will grow both personally and professionally. You will have the opportunity to solve problems, seize opportunities, and generate bold ideas. You will belong to a place where teamwork matters and where you are encouraged to bring your best self to work.
- What We Offer.
- Total Rewards at Brown-Forman is designed to engage our people to ensure sustainable and profitable growth for generations to come. As a premium spirits company, we offer equitable pay structures for individual and company performance alongside a premium employee experience. We offer a range of premium benefits that reflect our company values and meet the needs of our diverse workforce.
- LI.
- Employee.
- Leader.
- L2.
āļāļąāļāļĐāļ°:
Statistical Analysis, Marketing Strategy, Digital Marketing, Social media, Recruitment, Big Data, Tableau, YouTube, Python, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
- Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
- No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
- The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
- Define Marketing strategy for Flights Vertical (outside of pricing).
- Spearhead the development, execution, and optimization strategy for growing Agoda's Flights business on different channels (e.g., CRM, Paid Performance marketing).
- Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights.
- Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth.
- Partner closely with various business functions, especially Marketing Accommodation, Flights product and flights supply, to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau to drive meaningful initiatives.
- Monitor and report on the effectiveness of business initiatives, providing insights and recommendations for continuous improvement.
- Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management.
- Lead, mentor, and develop a team of analysts and managers; participate in hiring and onboarding new team members.
- Extensive Experience.
- 8+.
- years in Data Analyst position or otherwise in projects involving big data preferably in the tech, e-commerce, or digital marketing industry.
- Bachelor's degree in computer science/Statistics/Math or Engineering or Economics and Finance.
- Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations.
- Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
- Exceptional writing and verbal communication abilities, with proficiency in creating impactful and visually appealing presentations.
- Stakeholder management.
- Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen.
- People management.
- experience: including hiring, coaching, and developing team members.
- Entrepreneurial mindset.
- A proactive, entrepreneurial mindset with a strong sense of ownership and a get-thing-done attitude.
- Experience in digital or social media marketing.
- Experience in the online travel or e-commerce industry.
- Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis.
- London.
- PricingStrategy.
- Travel.
- Please review our Hiring Process Guidelines before your interview click.
- here.
- to learn how interviewing at Agoda works.
- Discover more about working at Agoda.
- Agoda Careers.
- https://careersatagoda.com.
- Facebook.
- https://www.facebook.com/agodacareers/.
- LinkedIn.
- https://www.linkedin.com/company/agoda.
- YouTube.
- https://www.youtube.com/agodalife.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
- privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
āļāļąāļāļĐāļ°:
SAP, SQL, NoSQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Manage the development and implementation strategy of SAP BI (Business Intelligence), BW (Business Warehouse), and BOBJ (Business Objects) systems in alignment with business objectives..
- Plan and develop dashboards and reports using SAP BOBJ to support management decision-making, setting priorities and directions for the development team..
- Supervise the system and team to ensure effective operations, maintaining continuous data quality, accuracy, and security..
- Continuously enhance system performance and modernize solutions in line with evolving technologies.
- Initiate and integrate new technologies to improve efficiency, streamline processes, and enhance BI system performance..
- Analyze the overall system landscape to ensure seamless integration and collaboration across the organization.
- Integrate systems to support current operations and future network expansion..
- Review and adapt strategies in response to changing circumstances to ensure organizational goals are achieved.
- Prepare and present detailed reports on operational outcomes to management.
- Bachelor s degree or higher in Computer Engineering, Computer Science, Information Technology, or a related field..
- Minimum 7 years of experience in building, managing, and optimizing data pipelines from multiple data sources..
- Strong understanding of data modeling, SQL, and database management concepts..
- Excellent analytical and problem-solving skills..
- Familiarity with Agile methodologies..
- Knowledge of NoSQL databases is an advantage..
- Hands-on experience with Big Data technologies and cloud platforms such as Azure, AWS, or GCP..
- Prior experience with SAP S/4HANA is a plus..
- SAP Certification in a relevant functional area is an added advantage..
- Fast learner, self-motivated, and proactive.
- Strong written and verbal communication and presentation skills.
- Service-oriented mindset with a collaborative approach to working with internal stakeholders.
- Excellent organizational and time management skills; able to balance and prioritize multiple tasks and projects effectively..
- Work Location: The Mall - Head Office (Ramkhamhaeng).
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