Trained Dataset Analyst (Fresher)

Job Overview

Location
Delhi, NCT, India
Job Type
Full Time

Additional Details

Job ID
11237
Job Views
23

Job Description

Attention Job Seekerss

  • We offer a free job service by consolidating opportunities from various sources on our website.
  • Scammers have been requesting payments for job applications. Please be aware that we never ask for any payment.
  • Do not send any money for job applications.
  • If anyone has made a payment, kindly send us an email with the details at techsprink@gmail.com.

Job Summary:

The Elite Job is seeking a motivated and detail-oriented Trained Dataset Analyst (Fresher) to join our dynamic team. This entry-level position is perfect for freshers looking to kickstart their career in data analysis. As a Dataset Analyst, you will assist in gathering, analyzing, and interpreting large datasets to provide valuable insights for business decision-making. This is a fantastic opportunity to gain hands-on experience in data analytics and contribute to meaningful projects across various industries.


Key Responsibilities:

  • Assist in collecting, cleaning, and organizing large datasets for analysis.
  • Analyze data and identify trends, patterns, and correlations to support business decisions.
  • Create and maintain reports and dashboards to visualize key performance metrics.
  • Collaborate with senior analysts and team members to interpret results and provide actionable insights.
  • Work with data management tools and software to ensure data accuracy and consistency.
  • Support data-driven projects and assist with the preparation of presentations for stakeholders.
  • Document analysis processes, methodologies, and results for future reference.
  • Continuously improve data analysis techniques and stay updated with industry best practices.

Required Skills and Qualifications:

  • Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • Basic knowledge of data analysis tools such as Excel, Python, R, or SQL.
  • Strong problem-solving and analytical skills.
  • Good understanding of statistical methods and data visualization techniques.
  • Excellent attention to detail and ability to handle large datasets.
  • Strong communication skills, both written and verbal.
  • Ability to work independently and as part of a team in a fast-paced environment.

Experience:

  • This is an entry-level position suitable for freshers.
  • Any internship or academic experience in data analysis, programming, or working with datasets will be an added advantage.

Working Hours:

  • Full-time position (Monday to Friday).
  • Flexible work hours with the option for remote work, depending on the projects needs.

Knowledge, Skills, and Abilities:

  • Proficiency in Microsoft Excel and Google Sheets.
  • Familiarity with data analysis software and tools (e.g., Python, R, Tableau).
  • Basic understanding of database management systems and querying languages like SQL.
  • Strong organizational skills with the ability to manage multiple tasks and priorities.
  • Eagerness to learn and grow within the field of data analytics.
  • Ability to work well in a team-oriented and collaborative environment.

Benefits:

  • Competitive salary with performance-based incentives.
  • Opportunities for professional growth and skill development.
  • Flexible working hours and remote work options.
  • Health and wellness benefits, including insurance coverage.
  • Access to online courses and training resources to enhance your skills.
  • A positive and inclusive work culture with a focus on teamwork and collaboration.

Why Join The Elite Job:

  • The Elite Job offers a vibrant and dynamic work environment where freshers can develop and grow their careers.
  • Work on exciting and impactful projects that leverage the power of data analytics.
  • Access to mentorship from experienced professionals in the field of data science and analytics.
  • Opportunity to work with cutting-edge tools and technologies in the data industry.
  • Join a company that values innovation, collaboration, and continuous learning.

How to Apply:

Interested candidates are invited to submit their resume, along with a cover letter, detailing their qualifications and interest in the Trained Dataset Analyst (Fresher) position. Applications can be sent to us or submitted through our career portal on the official website. Only shortlisted candidates will be contacted for an interview.

Location

Similar Jobs