Job Title Senior Python Data Analyst & Developer

Role Overview Seeking a versatile Senior Python Data Analyst with 5 to 8 years of experience to bridge the gap between advanced data analytics and application development.

Key Responsibilities

Data Analysis & Statistics Design and execute advanced statistical models, A/B testing, and predictive analytics to drive business decisions.

Application Development Build, deploy, and maintain robust, scalable Python applications, internal tools, and interactive data dashboards.

Data Pipeline Management Write clean, optimized SQL and Python scripts to extract, transform, and load (ETL) data from disparate sources.

Stakeholder Collaboration Translate complex data findings into actionable business strategies for both technical and non-technical leadership.

Required Skills & Qualifications

Experience 5–8 years of qualified experience in data analysis,



data science, or software engineering.

Core Python Mastery of Python and its core data ecosystem (Pandas, NumPy, SciPy, Scikit-learn) with some experience in R Programming Language

App Development Proven experience building applications using frameworks like Streamlit, Dash, FastAPI, or Flask.

Statistics Strong foundation in statistical analysis, hypothesis testing, regression modeling, and data mining.

Databases Experience with PostgreSQL, Snowflake, or MongoDB

Version Control Proficiency with Git and CI/CD deployment workflows.

Deployment Experience with any one cloud platforms (AWS, GCP, or Azure) and Familiarity with Docker and containerized deployment.

📌 Consultant (Hyderabad)
🏢 Virtusa
📍 Hyderabad