Data Analyst

Company Description Seed Funding for Startups is a platform that helps early-stage companies secure capital by leveraging YouTube monetization. Startups pitch for funding on the channel, and subscribers participate in multiple voting rounds to select one company each month. The process includes a detailed 30-minute business presentation, weekly voting, and a final 5-minute power pitch followed by a 24-hour voting window. Funding amounts are directly tied to the channel's views and monetization performance, creating a transparent, community-driven funding model. Team members have the opportunity to work closely with startup founders and gain exposure to diverse business models and growth strategies.
Role Description The Data Analyst role is a full-time, on-site position based in Kolkata. The Data Analyst will collect, clean, and analyze data related to channel performance, viewer engagement, voting behavior, and funding outcomes. Responsibilities include building dashboards, generating regular reports, and providing insights that help optimize monetization strategies and improve startup selection and voting processes. The role involves collaborating with content, marketing, and operations teams to translate data findings into actionable recommendations, forecasting funding potential based on trends, and monitoring key performance indicators. The Data Analyst will also support A/B testing of content formats and presentation styles to enhance audience retention and channel growth.
Qualifications

• Candidates should possess strong Analytical Skills and a solid foundation in Data Analytics.
• Candidates should possess practical knowledge of Statistics for hypothesis testing, trend analysis, and performance measurement.
• Candidates should possess Data Modeling skills for structuring datasets, building forecasting models, and supporting decision-making.
• Candidates should possess clear and effective Communication skills to present insights to non-technical stakeholders and startup founders.
• Bachelor's degree in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related field.
• Experience with data tools such as Excel, SQL, Python/R, or BI platforms (e.g., Power BI, Tableau, or similar) is highly beneficial.
• Ability to interpret digital content metrics (e.g., YouTube analytics, social media insights) and convert them into actionable strategies.
• Strong attention to detail, ability to work with large datasets, and a collaborative mindset for working in cross-functional teams.