Junior Data Science Analyst
PInterview
Delhi, IndiaFresher27m agovia LinkedIn
About the Role
The Junior Data Science Analyst role is a full-time remote position responsible for supporting data-driven decision-making across the PInterview platform. This role involves collecting, cleaning, and organizing data from various sources, including platform usage metrics and user feedback. The analyst will assist in building basic dashboards and reports, performing exploratory data analysis, and identifying patterns that can improve user experience and product features.
Key Responsibilities
- Collaborating with product, marketing, and operations teams to define analytical requirements.
- Collecting, cleaning, and organizing data from various sources.
- Building basic dashboards and reports.
- Performing exploratory data analysis.
- Identifying patterns that can improve user experience and product features.
- Documenting methodologies.
- Presenting clear insights in a simple and actionable format.
- Supporting A/B tests.
- Monitoring performance indicators.
- Contributing to the development of models or metrics under guidance from senior team members.
Requirements & Tech Stack
- Foundational data analysis skills.
- Experience with spreadsheets (e.g., Excel or Google Sheets).
- Basic statistical concepts.
- Programming skills for data work, such as familiarity with Python or R.
- Ability to use libraries for data manipulation and visualization.
- Database and querying skills, including basic knowledge of SQL.
- Understanding of relational data structures.
- Data visualization and reporting skills.
- Exposure to tools such as Tableau, Power BI, or similar platforms.
- Problem-solving and analytical thinking skills.
- Ability to interpret results, identify trends, and make clear, data-backed recommendations.
- Communication and collaboration skills.
- Ability to explain technical findings in simple language.
- Ability to work effectively with cross-functional teams.
Qualifications
- Educational background in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Economics, or a related discipline (or equivalent practical experience).
- An interest in the edtech or career development domain.
- Prior internship or project experience in analytics, online platforms, or user behavior analysis is beneficial.