Data Modelling + Data Analyst + Python
Virtusa
Date: 3 weeks ago
City: Chennai, Tamil Nadu
Contract type: Full time
Looking for a skilled and analytical Data Analyst with strong expertise in data modeling, data analysis, and Python programming. The ideal candidate will be responsible for designing data models, performing in-depth analysis, and building automated solutions to support business decision-making and reporting.
Key Responsibilities
Design and implement conceptual, logical, and physical data models to support analytics and reporting.
Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
Develop and maintain Python scripts for data extraction, transformation, and analysis.
Collaborate with data engineers, business analysts, and stakeholders to understand data requirements.
Create dashboards, reports, and visualizations to communicate findings effectively.
Ensure data quality, consistency, and integrity across systems.
Document data definitions, models, and analysis processes.
Required Skills & Qualifications
Strong experience in data modeling (ER diagrams, normalization, dimensional modeling).
Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib, etc.).
Solid understanding of SQL and relational databases.
Experience with data visualization tools (e.g., Power BI, Tableau, or matplotlib/seaborn).
Ability to translate business requirements into technical solutions.
Excellent analytical, problem-solving, and communication skills.
Key Responsibilities
Design and implement conceptual, logical, and physical data models to support analytics and reporting.
Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
Develop and maintain Python scripts for data extraction, transformation, and analysis.
Collaborate with data engineers, business analysts, and stakeholders to understand data requirements.
Create dashboards, reports, and visualizations to communicate findings effectively.
Ensure data quality, consistency, and integrity across systems.
Document data definitions, models, and analysis processes.
Required Skills & Qualifications
Strong experience in data modeling (ER diagrams, normalization, dimensional modeling).
Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib, etc.).
Solid understanding of SQL and relational databases.
Experience with data visualization tools (e.g., Power BI, Tableau, or matplotlib/seaborn).
Ability to translate business requirements into technical solutions.
Excellent analytical, problem-solving, and communication skills.
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