eNest Technologies Careers 2024: Hiring Data Analyst Intern

Data Analyst (Intern)

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.

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Roles/ Responsibilities for eNest Technologies Careers:

• 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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Requirements for eNest Technologies Careers:

• 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.