Infosys Recruitment 2023

Are you passionate about leveraging data to drive informed business decisions? Do you thrive in a dynamic and collaborative work environment? Infosys is seeking a skilled Data Analyst to join our team and play a pivotal role in transforming data into actionable insights.

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Responsibilities:

1. Data Exploration and Analysis:
   • Conduct thorough analysis of large datasets to extract meaningful patterns and insights.
   • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
   • Employ statistical methods to identify trends, patterns, and outliers, providing valuable insights to stakeholders.
2. Data Visualization:
   • Develop visually compelling dashboards and reports to effectively communicate complex data findings to both technical and non-technical stakeholders.
   • Utilize tools such as Tableau or Power BI to create interactive and user-friendly visualizations.
   • Work closely with business teams to ensure the visualization aligns with key performance indicators and strategic objectives.
3. Data Quality Assurance:
   • Implement data validation and cleansing processes to ensure accuracy and completeness of data.

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Skills:

1. 1. Analytical Skills:
      • Proficient in analyzing complex datasets and deriving actionable insights.
      • Strong problem-solving skills with the ability to think critically and strategically.
      • Familiarity with statistical analysis and data modeling techniques.
   2. Data Visualization:
      • Experience in creating compelling visualizations using tools like Tableau, Power BI, or similar.
      • Ability to present complex data findings in a clear and understandable manner.
      • Knowledge of best practices in data visualization for effective communication.
   3. Technical Proficiency:
      • Proficient in SQL for data extraction and manipulation.
      • Familiarity with programming languages such as Python or R is a plus.
      • Understanding of data warehousing concepts and ETL processes.