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āļāļąāļāļĐāļ°:
ETL, Data Analysis, Industry trends
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ70,000 - āļŋ90,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Analyze and interpret complex data sets to uncover insights and trends that drive business strategy and decision-making.
- Collaborate with cross-functional teams to understand their data needs and provide actionable recommendations.
- Design and maintain dashboards, reports, and visualizations using tools to communicate insights effectively.
- Extract data from various sources, including databases, APIs, and third-party services, ensuring data quality and accuracy.
- Develop and implement data models, ETL processes, and automated reporting solutions to streamline data analysis.
- Stay updated with industry trends and new technologies to enhance the company's data analytics capabilities.
- Participate in data governance initiatives, ensuring compliance with data privacy and security regulations.
- Requirements/Qualifications(must have):.
- Bachelor's degree in Statistics, Data Science, or a related field; an MBA or advanced degree is a plus.
- Minimum of 5 years of experience in business intelligence or data analysis, preferably in a fast-paced e-commerce environment.
- Proficient in SQL and at least one data visualization tool (e.g., Tableau, Power BI), with a solid understanding of data warehousing concepts.
- Strong analytical skills, with the ability to manipulate, clean, and derive insights from large datasets.
- Effective communicator with excellent presentation skills, capable of translating complex data into simple, actionable insights for non-technical stakeholders.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
SQL, Excel, Power BI, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Responsible for preparing daily, weekly, and monthly client/internal reports & performance dashboards.
- Preparing ad-hoc reports & analyzing data for management that provide insight.
- Data extraction/upload from the client system to the CNX side.
- Partner with business & support strategic projects involving data mining & analytics.
- Optimize use of tools/technology to improve efficiency & effectiveness of the reporting group.
- Analytical skills that allow for the development of data-driven reports.
- Self-starter, ability to complete work with limited degree of supervision.
- Working Knowledge of SQL scripting, VBA Macros.
- Understanding of Call Center Operational Metrics.
- Thai national.
- Bachelor degree.
- 1-2 years of experience with detail data.
- Strong verbal & written communication in English.
- Experience on Advance Excel + Business Intelligence tools (Power BI, Tableau, Google Studio & other BI tools).
- Experience on reporting through CRM switch and tools viz. CMS (Avaya), OB Dialer, Genesys, IEX etc.
- Monthly KPI & Attendance incentives.
- Medical/Accident Insurance.
- Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
4 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
SAP, Data Analysis, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Bachelor s degree in information technology, Computer Science, or other relevant fields.
- Minimum of 4 years relevant experience with lead exposure.
- Extensive experience SAP BW4hana.
- Hands on experience in Business Warehouse including Extraction, Modelling, and Query design.
- Experience with BW extractors, Master Data, DSOs, Cubes, Composite Providers, Open Hub Extracts, etc.
- Understanding of data extracts, report design and report development.
- Significant and recent experience in the use and management of SAP NetWeaver tools Business Warehouse 7.X with Business Objects 4.x and other related tools.
- Understanding of SAP BW full life cycle development experience from design through implementation and production support.
āļāļąāļāļĐāļ°:
Compliance, Power BI, Tableau, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Architect scalable BI solutions that meet strategic business needs within a modern cloud data platform environment.
- Oversee the development of cutting-edge BI systems, ensuring they align with organizational goals and industry best practices.
- Implement robust security measures to protect sensitive data and ensure compliance with relevant regulations.
- Optimize BI systems for cost-effectiveness, balancing expenses with performance and functionality.
- Fine-tune BI architectures to deliver high performance, enabling quick data access and analysis for thousands of users.
- Collaborate with cross-functional teams to understand and address diverse business intelligence requirements.
- Design and implement BI best practices, guidelines, and processes to drive self-service BI adoption across the company.
- Continuously evaluate and integrate new technologies, including machine learning and AI, to keep the BI infrastructure at the forefront of innovation.
- BenefitsExtensive experience in designing and implementing cloud-based Business Intelligence (BI) systems, with expertise in Power BI or Tableau, within modern cloud data platform environments.
- Strong technical proficiency in cloud technologies, particularly Azure, AWS, or GCP, for building and managing scalable BI infrastructures.
- In-depth knowledge of data security practices and compliance requirements for enterprise-level BI systems, including cloud-specific security measures.
- Proven experience in cost optimization and management for large-scale cloud BI infrastructures, leveraging cloud-native tools and best practices.
- Expertise in big data technologies such as Apache Spark and familiarity with platforms like Databricks for handling and processing large datasets in BI contexts.
- Knowledge of machine learning and AI integration within BI solutions to drive data-driven insights.
- Strong understanding of data governance frameworks, data lineage, and metadata management.
- Expertise in implementing data quality and master data management (MDM) solutions.
- Excellent leadership and project management skills, with the ability to oversee complex BI development projects and guide cross-functional teams.
- Strong collaboration and communication skills, including fluency in both verbal and written English, to effectively work with diverse stakeholders and articulate technical concepts clearly.
- A track record of staying current with emerging BI technologies and successfully integrating them into existing architectures, while developing and implementing best practices for self-service BI adoption.
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