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14 Weeks ago

Data Analyst

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Kolkata, West Bengal, India
Information Technology
Full-Time
Nu10

Overview

Job Title: Data Analyst
Experience: 3-5 years
Location: Bangalore, India
Employment Type: Full-Time
Role Overview:
We are looking for a highly motivated and skilled Data Analyst with 3-5 years of experience in data analysis, visualization, and business intelligence. The ideal candidate will have hands-on experience in extracting insights from data, building dashboards, and enabling data-driven decision-making for business stakeholders.
Key Responsibilities:
  • Collect, clean, and analyze large datasets to extract meaningful insights.
  • Develop and maintain interactive dashboards and reports using tools like Tableau, Power BI, or Looker.
  • Identify trends, patterns, and correlations in data to support business strategies.
  • Collaborate with cross-functional teams, including data engineers and business stakeholders, to translate data insights into actionable recommendations.
  • Write and optimize SQL queries for data extraction and analysis.
  • Implement A/B testing methodologies and statistical analysis to drive business improvements.
  • Present insights and findings to business teams in a clear and actionable manner.
Required Skills and Qualifications:
  • Bachelor's or Master’s degree in Computer Science, Data Analytics, Mathematics, Statistics, or a related field.
  • 3-5 years of experience in data analysis and business intelligence.
  • Proficiency in SQL for querying and data manipulation.
  • Strong experience with data visualization tools like Tableau, Power BI, or Looker.
  • Knowledge of Python or R for data analysis is a plus.
  • Familiarity with cloud-based data platforms such as AWS, GCP, or Azure.
  • Strong problem-solving skills and the ability to interpret complex datasets.
  • Excellent communication and storytelling skills to convey insights effectively.
Nice to Have:
  • Experience with ETL processes and data warehousing.
  • Understanding of machine learning concepts and predictive analytics.
  • Knowledge of big data tools such as Spark, Databricks, or Hadoop.
  • Exposure to automation tools and scripting for data workflows.
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