FamilyMart provides opportunities for students to thrive in a retail environment where the need to use IT solutions to solve business problems is ubiquitous.
As an intern, you will have the support you need, and work on meaningful retail operations improvement projects with hands-on learning and development opportunities.
You'll take on exciting challenges and work on cutting-edge technology projects related to Business Intelligence or AI/Machine Learning. A mentor or a manager will be assigned to provide interns with technical guidance and support throughout the internship.
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Conduct detailed financial forecasting, budgeting, and variance analysis to support business objectives and monitor the organization’s financial health.
Collaborate cross‑functionally with business units and the Semi‑Chamber Solutions division to deliver insightful financial reports and recommendations that support both tactical and strategic planning.
Develop and maintain financial models and dashboards that track key performance indicators (KPIs), enabling data‑driven decision‑making and continuous improvement.
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Provide engineering support to manufacturing operations through process optimization, troubleshooting, process validation, and continuous improvement activities.
Ensure process stability, product quality, productivity improvement, and successful execution of engineering projects.
Participate in Lean Six Sigma projects and productivity initiatives, train operators, production supervisor and technicians on process requirements, etc
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Build Route to Market solutions that transform clients’ distribution business model.
Design, set-up, and test prototype and production Route to Market Agentic AI solutions and ensure that all the pieces work together seamlessly.
Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Route to market offerings powered by Accenture.
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Design, build, and continuously improve data models across our medallion architecture — translating business questions into well-structured, scalable gold-layer datasets on Google GCP.
Own the modelling lifecycle from silver-layer cleaning and standardisation through gold-layer models ready for reporting, including dbt implementation, testing, and documentation.
Dig into source databases to reconcile data gaps, resolve inconsistencies across systems, and identify new metrics worth formalising into the model.
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