Internship responsibilities and requirements for data-focused roles are detailed below, covering daily tasks, tools, and collaborative expectations. This article explains how interns collect, clean, and analyze structured and unstructured data; build dashboards and reports with Excel, Power BI, Tableau; perform exploratory data analysis; work with SQL; document findings effectively; and collaborate with AI, backend, and product teams.
Core Responsibilities
As a data intern, the role centers on preparing and turning data into actionable insights. The following responsibilities describe the end-to-end flow of tasks you will perform and how they connect:
- Collect, clean, and analyze structured and unstructured data — gather raw inputs, apply cleaning and preprocessing steps, and prepare datasets suitable for analysis and reporting.
- Perform exploratory data analysis (EDA) — scan cleaned datasets to identify trends, patterns, and anomalies that inform hypotheses and next steps.
- Create dashboards and reports — use Excel, Power BI, Tableau, or similar tools to present data visually and summarize insights for stakeholders.
- Work with SQL — extract and manipulate data from databases to support analyses, feed dashboards, and validate results.
- Support business and product teams with data-driven insights — translate findings into practical recommendations that aid decision-making across teams.
- Document analysis, findings, and recommendations clearly — maintain readable records of methods, results, and suggested actions to ensure reproducibility and stakeholder understanding.
- Collaborate with AI, backend, and product teams — coordinate with technical and product stakeholders to align data work with engineering pipelines and product objectives.
Required Skills & Tools
The following requirements enable effective execution of the responsibilities above. Each skill maps directly to day-to-day tasks and collaboration expectations:
- Strong fundamentals of data analysis and statistics — underpin exploratory analysis, interpretation of trends, and the formulation of recommendations.
- Proficiency in Excel / Google Sheets — essential for creating reports, performing quick analyses, and building interim dashboards.
- Working knowledge of SQL — required for extracting, filtering, and joining data from databases to support analysis and reporting.
- Basic experience with Python (Pandas, NumPy) — preferred — helpful for programmatic cleaning, transformation, and analysis of larger or more complex datasets.
- Familiarity with Power BI / Tableau / Looker Studio — enables creation of polished dashboards and visual reports for stakeholders.
- Understanding of data visualization best practices — ensures dashboards and reports communicate insights clearly and effectively.
- Familiarity with Git/GitHub — a plus for versioning analysis code and collaborating with engineering teams.
- Strong analytical and communication skills — critical for deriving insight from data and conveying findings and recommendations to business and product teams.
In summary, the intern role combines hands-on data work—collecting, cleaning, analyzing structured and unstructured data—and creating dashboards and reports with Excel, Power BI, Tableau or similar tools. Core tasks include EDA, SQL extraction, documentation, and cross-team collaboration with AI, backend, and product teams. Required fundamentals, tool proficiency, and strong analytical and communication skills are essential for success in this role.
