Business Analyst (IT) - Magnecomp Precision Technology Public Company Limited

JOB SUMMARY: 

• The IT Business Analyst is a hands-on, Agile-focused role responsible for partnering with business and operational teams across the organization to understand their needs and drive adoption of data analytics and AI-driven solutions. Acting as a trusted bridge between business stakeholders and IT, this role translates business questions into data, analytics, and AI requirements while helping teams understand, trust, and effectively use data-driven insights.
• The ideal candidate excels in communication, influence, and stakeholder engagement, and is passionate about helping teams change how they work by adopting analytics and AI as part of everyday decision-making.

RESPONSIBILITIES:

• Partner with stakeholders across Operations, Engineering, Supply Chain, Quality, Finance, and other business functions to understand business goals and decision-making needs.
• Facilitate discussions to uncover underlying business problems and opportunities where data analytics or AI can add value.
• Translate business needs into clear requirements for data pipelines, analytics, visualization, and AI-driven solutions.
• Act as a key liaison between business stakeholders, data engineers, data scientists, and IT delivery teams.
• Help stakeholders understand data concepts, analytics outputs, and AI recommendations in practical, business-relevant terms.
• Influence and guide teams toward adoption of data-driven and AI-enabled ways of working.
• Support change management activities related to analytics and AI adoption, including communication, training, and feedback loops.
• Define requirements for data collection, data quality, and data governance to ensure trust in analytics and AI outputs.
• Collaborate with data engineering teams on data pipelines, integrations, and Lakehouse architecture
• Partner with BI teams to define intuitive dashboards, reports, and visualizations aligned to user workflows.
• Participate in Agile ceremonies, including backlog refinement, sprint planning, and reviews
• Support UAT and rollout activities to ensure solutions meet business needs and are adopted successfully.
• Continuously identify opportunities to improve business outcomes through analytics, automation, and AI.

QUALIFICATIONS:

• Strong experience working with diverse business stakeholders and influencing without direct authority.
• Proven ability to translate complex technical or data concepts into clear, relatable business language.
• Working knowledge of data pipelines, data engineering concepts, and analytics platforms.
• Experience defining requirements for BI, dashboards, and reporting solutions.
• Familiarity with AI or advanced analytics use cases such as forecasting, optimization, or anomaly detection.
• Experience working in Agile delivery environments.
• Strong facilitation, communication, and presentation skills.

PREFERRED QUALIFICATIONS:

• Experience supporting analytics, data, or AI initiatives in manufacturing, electronics, or high-tech environments.
• Familiarity with data Lakehouse architecture and modern data platforms.
• Experience working with data scientists or AI teams to operationalize models.
• Background in change management, digital transformation, or analytics enablement initiatives.

Education Required: 

• Bachelor’s degree in information systems, Computer Science, Engineering, Business Administration, Data Analytics, or a related field.
• Equivalent experience in data and analytics roles may be considered.

Skill Required:

• Exceptional communicator who can build trust and credibility across technical and non-technical audiences.
• Strong listeners who can understand resistance and address concerns around data and AI adoption.
• Influencer and change agent who can guide teams toward new ways of working.
• Skilled facilitator who can drive alignment and decision-making in ambiguous situations.
• Storyteller who can turn data insights into compelling narratives that drive action.
• Patient, adaptable, and resilient when driving cultural and behavioral change.

Experience:

• 3+ years of hands-on Business Analyst experience in IT, analytics, or data-driven initiatives.