Om Sai Global Hiring Drive 2024 For Data Analyst – Python | Location Gurgaon

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Om Sai Global Hiring Drive 2024: Om Sai Global Hiring Drive 2024 for its Data Analyst – Python. Om Sai Global Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Computer Science, Statistics, or a related field. if you are interested, please apply as soon as possible.

Company Name: Om Sai Global

Role: Data Analyst – Python

Location: Gurgaon

Experience: 1 to 3 years

Qualification: Bachelor’s degree in Computer Science, Statistics, or a related field.

Batch: Any

Job Type: Full Time

Salary: ₹ 12L – ₹ 25L (Per Year)

Om Sai Global Hiring Drive 2024

Job Description:

  • This is a full-time role based in Gurgaon, working as a Data Analyst with a focus on Python.
  • The Data Analyst will be responsible for analyzing large datasets, generating insights, and providing data-driven recommendations to support business decisions.
  • The ideal candidate will have strong analytical skills, proficiency in Python programming language, and experience in handling and processing large datasets.


  • Bachelor’s degree in Computer Science, Statistics, or a related field.
  • Proven experience as a Data Analyst or in a similar role.
  • Strong proficiency in Python programming language and libraries such as Pandas, NumPy, and Matplotlib.
  • Experience with data visualization tools such as Tableau, Power BI, or QlikView.
  • Solid understanding of SQL and database management.
  • Knowledge of statistical analysis techniques and tools.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation abilities.
  • Ability to work independently and collaborate effectively in a team environment.
  • Attention to detail and ability to handle and analyze large datasets.


  • Analyze large, complex datasets using Python to identify trends, patterns, and anomalies.
  • Develop and implement data models, databases, data collection systems, and other strategies to optimize data quality and efficiency.
  • Design and execute queries, conduct exploratory data analysis, and create visualizations to communicate findings to stakeholders.
  • Collaborate with cross-functional teams to define data requirements and ensure data accuracy and validity.
  • Identify data quality issues, perform data cleansing and transformation, and develop automated data validation procedures.
  • Develop predictive models and perform statistical analysis to support informed decision-making.
  • Generate reports, dashboards, and data visualizations to support business intelligence initiatives.
  • Stay up-to-date with industry trends, emerging technologies, and best practices in data analysis.
  • Communicate effectively with both technical and non-technical stakeholders to gather requirements and present findings.

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