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Job Role : Data Analyst
Qualification: B.Tech, B.Sc, B.E, MCA
Batch: 2024 - 2026
Experience: Freshers
Salary: ₹4.5 - ₹6 LPA
Job Location: Work From Home
Last Date: ASAP
About Company
- NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
Job Responsibilities
Analyze large datasets to identify trends, patterns, and actionable insights for business decisions.
Write and optimize SQL queries to extract, aggregate, and validate data from multiple sources.
Use Python for data cleaning, transformation, and advanced analytics, including statistical modeling.
Develop and maintain Power BI dashboards and reports to visualize key metrics and KPIs.
Work with notebooks (Jupyter or similar) to document analysis workflows and share reproducible results.
Collaborate with stakeholders to understand requirements and deliver data-driven solutions.
Perform exploratory data analysis (EDA) and generate summary statistics for decision-making.
Ensure data accuracy, consistency, and integrity through rigorous validation and quality checks.
Automate repetitive data tasks using Python scripts and scheduling tools.
Communicate findings clearly through reports, presentations, and visualizations for business teams.
Write and optimize SQL queries to extract, aggregate, and validate data from multiple sources.
Use Python for data cleaning, transformation, and advanced analytics, including statistical modeling.
Develop and maintain Power BI dashboards and reports to visualize key metrics and KPIs.
Work with notebooks (Jupyter or similar) to document analysis workflows and share reproducible results.
Collaborate with stakeholders to understand requirements and deliver data-driven solutions.
Perform exploratory data analysis (EDA) and generate summary statistics for decision-making.
Ensure data accuracy, consistency, and integrity through rigorous validation and quality checks.
Automate repetitive data tasks using Python scripts and scheduling tools.
Communicate findings clearly through reports, presentations, and visualizations for business teams.
Requirements
Strong proficiency in SQL for querying, data manipulation, and performance optimization.
Hands-on experience with Python for data analysis, including libraries like Pandas, NumPy, and Matplotlib.
Expertise in Power BI for creating dashboards, reports, and implementing DAX calculations.
Familiarity with notebook environments (Jupyter or similar) for interactive analysis and documentation.
Solid understanding of data cleaning, transformation, and preparation techniques.
Ability to perform statistical analysis and interpret results for actionable insights.
Knowledge of data visualization best practices and storytelling with data.
Strong problem-solving and analytical skills with attention to detail.
Excellent communication skills and ability to work effectively in a 2 PM–11 PM IST shift.
Experience with Microsoft Fabric or cloud-based analytics platforms is a strong plus."
Hands-on experience with Python for data analysis, including libraries like Pandas, NumPy, and Matplotlib.
Expertise in Power BI for creating dashboards, reports, and implementing DAX calculations.
Familiarity with notebook environments (Jupyter or similar) for interactive analysis and documentation.
Solid understanding of data cleaning, transformation, and preparation techniques.
Ability to perform statistical analysis and interpret results for actionable insights.
Knowledge of data visualization best practices and storytelling with data.
Strong problem-solving and analytical skills with attention to detail.
Excellent communication skills and ability to work effectively in a 2 PM–11 PM IST shift.
Experience with Microsoft Fabric or cloud-based analytics platforms is a strong plus."
Click here to apply:- Apply here
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