Junior Data Science Analyst

Company Description PInterview is an innovative online platform focused on delivering high-quality interview practice and learning experiences for students and professionals. The company offers live online mock interviews via video and telephonic sessions to help users strengthen their interview skills for real-world scenarios. PInterview collaborates with industry professionals and domain experts worldwide to provide one-to-one coaching and career consulting services. The platform supports preparation for a wide range of interview types, including admission, placement, job, HR, coding, tech, and bank PO interviews. PInterview is driven by a mission to reshape how future leaders prepare for interviews and achieve their full potential.
Role Description 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. Day-to-day tasks include collaborating with product, marketing, and operations teams to define analytical requirements, documenting methodologies, and presenting clear insights in a simple and actionable format. The role may also involve supporting A/B tests, monitoring performance indicators, and contributing to the development of models or metrics under guidance from senior team members.
Qualifications
Candidates should possess foundational data analysis skills, including experience with spreadsheets (e.g., Excel or Google Sheets) and basic statistical concepts.
Candidates should possess programming skills for data work, such as familiarity with Python or R, and the ability to use libraries for data manipulation and visualization.
Candidates should possess database and querying skills, including basic knowledge of SQL and understanding of relational data structures.
Candidates should possess data visualization and reporting skills, with exposure to tools such as Tableau, Power BI, or similar platforms.
Candidates should possess problem-solving and analytical thinking skills, with the ability to interpret results, identify trends, and make clear, data-backed recommendations.
Candidates should possess communication and collaboration skills, including the ability to explain technical findings in simple language and work effectively with cross-functional teams.
Candidates should possess an educational background in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Economics, or a related discipline (or equivalent practical experience).
Candidates should possess an interest in the edtech or career development domain; prior internship or project experience in analytics, online platforms, or user behavior analysis is beneficial.

Work arrangement
Yes