Data Analyst

Company Description

FamCare is building India's first AI-enabled safety infrastructure for home caregiving, focused on kids care today and elderly care in the future. The company addresses the challenges of the informal care economy, where lack of reliable systems limits many women's participation in the workforce. FamCare's core product is an AI-powered safety and trust layer that includes in-session audio monitoring, geo-fencing, and a dedicated Command Center that oversees every caregiving session in real time. All caregivers are thoroughly background-verified and trained through FamCare Academy to ensure consistent quality and safety. By creating an operating system for trust in home care, FamCare enables working couples and caregivers to balance professional ambitions with family safety more confidently.

Role Description

The Data Analyst role at FamCare is a full-time position based in Bengaluru. The Data Analyst will collect, clean, and analyze data from caregiving sessions, AI monitoring tools, and operational systems to generate actionable insights for product, operations, and leadership. Daily activities include building dashboards, preparing reports, and developing data models to track safety incidents, caregiver performance, and user engagement. The role involves collaborating with cross-functional teams to design metrics, support experiments, and improve decision-making across the organization. The Data Analyst will also help maintain data quality, document analytical processes, and communicate findings in clear, concise formats for both technical and non-technical stakeholders.

Qualifications

• Candidates should possess strong Analytical Skills and demonstrated experience in Data Analytics.
• Candidates should possess a solid foundation in Statistics for hypothesis testing, experimentation, and interpreting data-driven results.
• Candidates should possess effective Communication skills to translate complex analyses into clear insights and recommendations.
• Candidates should possess practical experience in Data Modeling for building scalable reports, dashboards, and performance metrics.
• Proficiency in SQL and at least one analytics or visualization tool (e.g., Excel, Power BI, Tableau, or similar) is beneficial.
• A bachelor's degree in a quantitative field such as Statistics, Mathematics, Engineering, Computer Science, Economics, or equivalent practical experience is preferred.
• Experience working with real-time or streaming data, and an interest in AI-enabled products or safety-tech, will be an advantage.
• Ability to work collaboratively in a fast-paced startup environment, with attention to detail and commitment to data ethics and privacy.