This article outlines the selected intern role, covering day-to-day responsibilities, required skills and other requirements, and the perks including the job offer on conversion. It summarizes the core tasks—collecting, cleaning, organizing, analyzing data, creating reports and visualizations, documenting work, and collaborating with cross‑functional teams—and what is expected from candidates in this position.
Day-to-day responsibilities
The selected intern will support data work across internal and external sources and assist senior team members. Key responsibilities include:
- Collect, clean, and organize data from multiple internal and external sources to ensure accuracy and consistency.
- Assist in analyzing datasets to identify trends, patterns, and anomalies relevant to business and product decisions.
- Create basic reports, dashboards, and visualizations to present insights in a clear and understandable manner.
- Support senior analysts and team leads in preparing data for forecasting, performance tracking, and compliance reporting.
- Document data definitions, assumptions, and analysis steps for transparency and future reference.
- Collaborate with cross functional teams to understand data requirements and translate business questions into analysis tasks.
Skills and other requirements
Skills required: Data Analysis.
Other requirements expected for the role include:
- Basic understanding of data analysis concepts (data cleaning, aggregation, interpretation).
- Familiarity with Microsoft Excel or Google Sheets.
- Awareness of databases and basic querying concepts preferred.
- Strong attention to detail, logical thinking, problem solving mindset.
- Good written and verbal communication skills.
Perks and conversion offer
Perks provided for the role include:
- Certificate
- Letter of recommendation
- Flexible work hours
- 5 days a week
- Job offer
Job offer on conversion: ₹14 LPA.
In summary, this intern role centers on practical data work—collecting, cleaning, organizing, analyzing, reporting, and documenting—to support business and product decisions. Candidates should possess foundational data analysis knowledge, be comfortable with Excel or Sheets, and show attention to detail and clear communication. The position includes several perks and a potential job offer on conversion at the stated compensation.
