Data Analyst

1 - 3 years

3 - 6 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Summary:

We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and performing statistical analyses on large datasets. The Data Analyst will help the organization make data-driven decisions by providing actionable insights and reports.

Key Responsibilities:

  • Collect, clean, and interpret data from various sources to identify trends, patterns, and insights.
  • Develop and maintain dashboards, reports, and visualizations to communicate findings effectively.
  • Collaborate with cross-functional teams to understand business needs and provide data solutions.
  • Perform data validation and ensure data accuracy and integrity.
  • Use statistical methods to analyze data and generate useful business reports.
  • Assist in the development and implementation of data collection systems and other strategies.
  • Identify opportunities for process improvements through data analysis.
  • Stay updated with the latest tools, technologies, and best practices in data analysis.

Qualifications:

  • Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Proven experience as a Data Analyst or in a similar role.
  • Proficiency with data analysis tools and software (e.g., Excel, SQL, Python, R).
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Excellent communication skills to present findings clearly to stakeholders.
  • Knowledge of statistical techniques and concepts.
  • Ability to work independently and as part of a team.

Preferred Skills (optional):

  • Experience with big data platforms (e.g., Hadoop, Spark).
  • Familiarity with machine learning basics.
  • Experience with cloud platforms (AWS, Azure, Google Cloud).
  • Understanding of database management and ETL processes

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