Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in Python, SQL, and ETL pipelines.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with hands-on experience designing scalable ETL pipelines, data models, and analytics dashboards across e-commerce and SaaS domains. Proficient in Python (Pandas, NumPy, PySpark), SQL, FastAPI, and MongoDB. Experienced in data quality validation, schema design, and pipeline automation. Actively expanding expertise in Hadoop ecosystem, CI/CD tooling, and large-scale data processing to deliver reliable, production-grade data infrastructure.
Cultural Fit Analysis
The candidate's project diversity, ranging from Q-Commerce data pipelines to SKU profitability analysis and CO2 tracking dashboards, indicates adaptability and a broad interest in applying data analytics to different business problems. Their involvement in NEC E-Cell at IIT Bombay suggests an interest in entrepreneurship and innovation, which could align well with dynamic, growth-oriented environments. The target role of 'Data Analyst' aligns well with their professional experience and technical skills, particularly in data processing, visualization, and ETL. However, the experience level of 1 year is relatively low for a senior role, which might impact cultural fit in teams expecting more seasoned leadership.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and collaboration skills through their project descriptions, particularly in resolving technical data challenges and working with cross-functional teams. Their experience in automating reporting and improving data accuracy suggests an operational fit for roles requiring efficiency and reliability. However, without specific psychometric or English test scores, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.