Data Analyst

Foundit.in is one of India’s rapidly growing online job portals, connecting fresh talent with emerging tech‑driven companies across the country. Backed by a strong technology team, the platform leverages AI‑based matching to streamline recruitment for both candidates and employers. The company’s culture emphasizes innovation, data‑driven decision making, and a collaborative environment where every employee can contribute to building next‑generation hiring solutions. With a focus on remote‑first policies and flexible work locations, Foundit.in offers its workforce the freedom to work from anywhere while staying tightly aligned with its mission of simplifying job search for millions of Indian graduates. The Data Analyst role is a cornerstone position that will support the partner organization’s institutional investment data pipelines. As a Data Analyst at Foundit.in, you will dive deep into massive financial datasets—often exceeding 100TB and covering more than 100,000 global companies—to ensure data integrity, build robust validation frameworks, and deliver actionable insights to investment teams. You will be part of a fast‑moving, data‑centric environment where automation, statistical rigor, and clear visual storytelling are essential. Key responsibilities include: 1. Managing, analyzing, and monitoring large volumes of daily financial data to guarantee accuracy, consistency, and completeness. 2. Designing, implementing, and continuously improving data‑quality, validation, reconciliation, and monitoring frameworks. 3. Investigating and resolving Level 1 and Level 2 data‑quality issues, escalating complex cases to specialized data teams when needed. 4. Leveraging advanced SQL and Python for data analysis, scripting, troubleshooting, and process automation. 5. Building and maintaining interactive dashboards and reports that translate complex datasets into clear business insights. 6. Applying statistical techniques to detect anomalies, monitor data accuracy, and strengthen quality controls. 7. Collaborating with internal teams and external stakeholders to gather requirements, communicate findings, and share analytical insights. 8. Working with data from multiple, diverse sources while maintaining scalable analytical processes. 9. Contributing to documentation and knowledge‑sharing initiatives to up‑skill the broader data community. 10. Continuously exploring new tools and methodologies to enhance big‑data handling capabilities. The tech stack revolves around SQL (including performance tuning), Python (pandas, NumPy, matplotlib/seaborn), and modern dashboarding tools such as Power BI or Tableau. Exposure to cloud platforms (AWS/GCP) and big‑data frameworks (Spark, Hadoop) is a plus. Over time, analysts can progress to senior analyst, data‑engineer, or analytics‑lead roles, with opportunities to specialize in financial modelling, risk analytics, or data‑product ownership. Joining Foundit.in means working with cutting‑edge data pipelines, gaining deep exposure to institutional finance, and growing within a supportive, remote‑friendly culture that values continuous learning and impact.