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Data Analytics Intern at Funding Societies Modalku Group

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

0.0

Posted On

22 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, SQL, Python, Data Visualization, Analytical Skills, Problem-Solving, Attention to Detail, Written Communication, Data Validation, Exploratory Analysis, AI Tools, Automation, Dashboard Support, Reporting, Data Operations, Data Insights

Industry

Financial Services

Description

Role Overview We’re looking for a Data Intern to support analytics operations through reporting and analysis, while experimenting with AI-driven automation to reduce manual effort. This role sits at the intersection of data operations and insight. You’ll work with real world data, help answer real business questions, and learn how analytics teams scale impact. Key ResponsibilitiesReporting & Data Support Run recurring and ad-hoc report pulls from dashboards, databases, and analytics tools Validate data accuracy, investigate anomalies, and flag inconsistencies Support dashboard updates, fixes, and basic troubleshooting Analysis & Insight Perform basic exploratory analysis to help explain trends, changes, or outliers in reports Translate data outputs into clear, concise summaries for decisionmaking AI & Automation Use AI tools to: Generate and refactor SQL queries Automate recurring report pulls and summaries Assist with data validation and QA checks Help prototype lightweight automations that reduce repetitive analytics work Required Skills & Experience Currently pursuing or recently completed a degree in data analytics, data science, computer science, statistics, mathematics, or a related technical field Strong analytical and problem-solving skills Proficiency in SQL, Python and data visualization tools Strong attention to detail and clear written communication Ability to work independently and manage multiple projects simultaneously

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Responsibilities

The intern will run recurring and ad-hoc report pulls, validate data accuracy, and support dashboard updates. They will also perform exploratory analysis and use AI tools to automate reporting tasks.