Finance Analytics Intern: Automate Dashboards & Forecasting

Seagate Technology; Singapore; On-site; SGD 16,740 - 27,900; Part time

Job summary

Seagate invites applications for the Advanced Applications Experts (AAE) Intern, Finance Analytics in Singapore. You will assist in building analytics, automation, and forecasting solutions to improve reporting accuracy and reduce manual work.

You'll gain hands-on experience with finance data, dashboards, and stakeholder engagement, using Power BI, Tableau, and KNIME, while developing repeatable reporting workflows.

Qualifications

• Currently pursuing a bachelor’s degree in a relevant field.
• Basic understanding of statistics, data analysis, forecasting, or trend analysis.
• Interest in finance, supply chain, automation, dashboards, or business analytics.
• Experience with Power BI, Tableau, KNIME, or similar tools is a plus.
• Basic Python knowledge and Excel skills are beneficial.

Responsibilities

• Build dashboards and analytics prototypes using Power BI, Tableau, KNIME or similar tools.
• Support forecasting, what-if analyses, or scenario modeling for business decisions.
• Enhance finance dashboards with data validation and reporting improvements.
• Develop repeatable finance reporting workflows with data preparation and documentation.
• Track impact through time savings, error reduction, adoption, and process improvements.
• Collaborate with stakeholders to define success criteria and validate outcomes.

Skills

Data analysis

Forecasting

Statistics

Python

Education

Bachelor's degree in Data Science, Computer Science, Business Analytics, Finance, Engineering, or related fields

Tools

Power BI

Tableau

KNIME

Excel

Python

Job description

Seagate invites applications for the Advanced Applications Experts (AAE) Intern, Finance Analytics in Singapore. You will assist in building analytics, automation, and forecasting solutions to improve reporting accuracy and reduce manual work.

You'll gain hands-on experience with finance data, dashboards, and stakeholder engagement, using Power BI, Tableau, and KNIME, while developing repeatable reporting workflows.