Data Analysis and Insights Specialist

4 days ago

Varanasi, Uttar Pradesh, India beBeeData Full time ₹ 3,00,000 - ₹ 5,00,000
Job Description\

As a Data Analyst Intern, you will work on extracting meaningful insights from complex datasets and contributing to data-driven decision making.

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You will be responsible for gathering data from various sources and databases, cleaning and pre-processing the data to ensure quality and usability, developing and maintaining data pipelines, implementing data validation procedures and quality checks.

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Additionally, you will apply statistical methods to interpret datasets, identify patterns, trends, and correlations in complex data, develop predictive models and conduct hypothesis testing, create data-driven solutions for business problems.

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The internship will also involve creating interactive dashboards and visual reports, developing compelling data visualizations to communicate findings, presenting analytical insights to stakeholders, and automating regular reporting processes.

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Key Responsibilities:

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  • \
  • Gather data from various sources and databases\
  • Clean and pre-process data to ensure quality and usability\
  • Develop and maintain data pipelines\
  • Implement data validation procedures and quality checks\
  • Apply statistical methods to interpret datasets\
  • Identify patterns, trends, and correlations in complex data\
  • Develop predictive models and conduct hypothesis testing\
  • Create data-driven solutions for business problems\
  • Create interactive dashboards and visual reports\
  • Develop compelling data visualizations to communicate findings\
  • Present analytical insights to stakeholders\
  • Automate regular reporting processes\
    • \

Requirements: Strong analytical and quantitative skills, basic knowledge of data analysis tools (Excel, SQL, Python, or R), interest in working with data and deriving insights, willingness to self-learn and work in a fast-paced environment.

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Benefits:

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  • \
  • Practical experience with data analysis tools and techniques\
  • Hands-on skills in data visualization and dashboard creation\
  • Strong analytical and problem-solving abilities\
  • Effective communication of technical findings to non-technical audiences\
  • Knowledge of AI and machine learning applications in data analytics\
    • \

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