Data Analyst Intern

Data Analyst Internship (Remote)

Position:

Work Mode:

Monthly Stipend:

Eligibility:

Company Description

The organisation operates in a data-driven financial services environment, where analytics plays an important role in shaping business strategy and performance insights. The team works across various internal functions, using structured and unstructured data to support informed decision-making, optimise operations, and enhance customer engagement.

Role Description

This is a full-time, remote internship for a Data Analyst. The role involves working with datasets from multiple sources, conducting exploratory data analysis, developing dashboards, and supporting reporting workflows. The position is suited for students who are looking to apply analytical skills to real business use cases and gain hands-on experience with data tools and visualisation methods.

Key Responsibilities

• Collect, clean, and organise datasets to ensure accuracy and consistency
• Perform exploratory data analysis (EDA) to identify trends and patterns
• Create reports and dashboards to visualise key business metrics
• Support the development and maintenance of automated reporting processes
• Assist in the evaluation of business campaigns and performance experiments
• Work with cross-functional teams to translate insights into practical recommendations
• Research industry practices related to data reporting and visualisation

Required Skills

• Good understanding of data analytics and basic statistical concepts
• Proficiency with SQL for querying and transforming data
• Experience with Python or R and relevant data libraries (e.g., pandas, NumPy, Matplotlib, Seaborn)
• Familiarity with visualisation tools such as Power BI, Tableau, or Looker
• Comfortable working with Excel functions, pivot tables, and data tables
• Ability to communicate insights clearly, including to non-technical audiences
• Attention to detail and a structured approach to problem-solving

This internship is a good fit for individuals who are analytical, self-driven, and interested in applying data skills to real business scenarios.