eNest Technologies Careers 2024 | Data Analyst

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eNest Technologies Careers
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About eNest Technologies Careers 2024

eNest IT is a full-service software development and software engineer staffing company that specializes in delivering high-quality solutions to its clients.

We have a team of skilled developers who are proficient in a variety of programming languages, including Java, Python, and C++. At eNest IT, we are dedicated to providing our clients with exceptional service and delivering solutions that meet their unique needs.

Our team works closely with clients to understand their requirements and develop custom solutions that address their specific challenges.

eNest Technologies Careers 2024 Details

Company NameeNest Technologies
Job RoleData Analyst (Intern)
Job TypeFull Time
Job LocationMohali
EducationBE/ B.Tech
Career Level0 – 1 Years
SalaryNot Mentioned
Company Websitewww.enestit.com

Job Description For eNest Technologies Careers 2024

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.

  • 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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  • 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.

eNest Technologies Careers 2024 Application Process

  • Eligible candidates are advised to open online Apply Link ( Link given bellow).
  • This link will open on new tab on your browser
  • Read carefully above job description and double click to apply online
  • Fill all your academic qualification, skill experience and other mandatory details.
  • Upload your resume.
  • Check the details before submitting.
  • If you are shortlisted, details will be shared through e-mail or phone call
  • interview and Venue details also will be shared to shortlisted candidates through e-mail.
  • Note : Apply the job before link Expires


We wish you the best of luck in your eNest Technologies Careers 2024. May your talents shine, and may you find the perfect opportunity that not only meets your professional goals but also brings joy to your everyday work.

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