eNest Technologies Careers 2024 for Data Analyst(Intern)

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eNest Technologies Careers 2024 for its Data Analyst(Intern), eNest Technologies Drive is organizing Off Campus Drive for candidates in Any Batch. In order to apply, candidates should have degree in Bachelors/masters Degree. If you are interested, Please apply as soon as possible.

Company Name: eNest

Role: Data Analyst (Intern)

Location: Mohali

Experience: Freshers

Qualification: Bachelors/Masters Degree

Batch: Any Batch

Job Type: Full Time

Salary: Best in Industry

eNest Technologies Careers 2024

Job Description:

We are excited to welcome a motivated and detail-oriented Data Analyst Intern to join our dynamic team. This internship is designed for individuals eager to gain hands-on experience in the field of data analytics. The successful candidate will play a vital role in gathering,organizing, and analyzing data from various sources, contributing to the generation of valuable insights that drive informed decision-making. As an intern, you will receive mentorship and training opportunities to develop essential skills in data analytics.


  • Bachelor’s degree in a relevant field such as Statistics, Computer Science, or a related discipline.
  • Proven experience as a Data Analyst or in a similar role.
  • Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
  • Excellent problem-solving skills and attention to detail.
  • Strong math skills (e.g. statistics, algebra and Probability).
  • Effective communication skills to convey complex findings to non-technical stakeholders.
  • Ability to work collaboratively in a fast-paced environment.


  • Using automated tools to extract data from primary and secondary sources.
  • Removing corrupted data and fixing coding errors and related problems.
  • Developing and maintaining databases, and data systems – reorganizing data in a readable format.
  • Performing analysis to assess the quality and meaning of data.
  • Filter Data by reviewing reports and performance indicators to identify and correct code problems.
  • Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction.
  • Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
  • Analyzing local, national, and global trends that impact both the organization and the industry.
  • Preparing reports for the management stating trends, patterns, and predictions using relevant data.
  • Work closely with programmers, engineers, and management to identify process improvement opportunities.
  • Proficiency with a deep learning framework such as TensorFlow or Keras.
  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.

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