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Check with seller Training Support - Business & Technology-Oriented Data Analysis
- Location: Tây Ninh, vietnam
ob Overview
We are seeking a versatile and analytical Training Support Specialist in Data Analysis to join our team. As organizations increasingly rely on data-driven decision-making, your role is to support the training of future analysts who can bridge the gap between technical data extraction and strategic business insights. You will facilitate the delivery of curricula that merge statistical modeling, technical infrastructure, and business acumen, ensuring learners can turn raw data into actionable corporate intelligence.
Job Responsibilities
Program Coordination: Manage the logistical execution of data-centric training modules, ensuring that lab environments, software licenses (e.g., SQL, Tableau, Power BI), and datasets are ready for professional instruction.
Instructional Support: Assist Lead Instructors in facilitating workshops on key analytical topics, including SQL querying, data cleaning, visualization techniques, and predictive business modeling.
Applied Lab Facilitation: Support practical sessions where learners build dashboards, perform exploratory data analysis (EDA), and translate technical metrics (e.g., churn rate, CAC, LTV) into business strategy recommendations.
Curriculum Maintenance: Assist in updating training materials to keep pace with evolving technologies, including advancements in AI-assisted analytics, cloud-based data warehousing, and automated reporting.
Assessment & Performance Tracking: Coordinate the evaluation of student projects and data-storytelling assignments. Provide supplemental guidance on best practices for data integrity and business-aligned reporting.
Industry & Stakeholder Liaison: Organize guest lectures with Data Scientists, Business Intelligence (BI) Managers, and Product Managers. Facilitate networking events to connect learners with real-world business environments.
Quality Assurance: Monitor training effectiveness by tracking student project outcomes and feedback, providing data-driven insights to the program management team for continuous improvement.
Job Requirements
Education: Bachelor’s degree in Data Science, Business Analytics, Computer Science, Economics, or a related field.
Experience: 1–3 years of experience in data analysis, business intelligence, or a technical support role within a corporate/educational setting.
Technical Skills:
Strong command of SQL and proficiency in visualization tools like Power BI, Tableau, or Looker.
Basic knowledge of programming languages (Python or R) and statistical analysis packages.
Familiarity with database structures and cloud platforms (AWS/Azure/GCP).
Soft Skills:
Data Storytelling: Ability to translate complex technical findings into clear, persuasive insights for non-technical stakeholders.
Analytical Problem-Solving: A proactive mindset for identifying trends and anomalies within large datasets.
Organizational Agility: Ability to manage technical lab infrastructure and academic schedules simultaneously.
Curiosity: A strong drive to keep up with the fast-moving landscape of data technology and business strategy.
Benefits
Competitive Compensation: Attractive salary package with potential for performance-based bonuses.
Professional Development: Support for ongoing data certifications (e.g., Google Data Analytics, Microsoft Certified: Power BI Data Analyst Associate), and attendance at technology conferences.
Cutting-Edge Environment: Work with modern data stacks and collaborate with experts in both business strategy and engineering.
Comprehensive Benefits: Full health insurance, paid leave, and retirement benefits as per local labor laws.
Career Growth: Clearly defined pathways toward roles such as Data Analyst, Business Intelligence Consultant, Data Product Manager, or Program Manager.Data Analysis Training Assistant, Business Intelligence Coordinator, BI Training Support, Data Analytics Associate, Program Support Specialist (Data).
Industry Keywords: Business Intelligence, Data Visualization, SQL, Python, Predictive Analytics, Data Storytelling, Business Strategy, ETL.
Attributes: Analytical, Tech-savvy, Communicative, Strategic, Detail-oriented, Proactive.
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