This page was automatically translated and may contain errors. View in English.
Netrolynx AI

Data Analyst

Netrolynx AI

United Kingdom · ಪೂರ್ಣ ಸಮಯ

ಅರ್ಜಿ ಸಲ್ಲಿಸುವವರಲ್ಲಿ ಮೊದಲಿಗರಾಗಿರಿ

ಅನುಭವ
ಯಾವುದೇ
ಸಂಬಳ
ತೆರೆಯುವಿಕೆಗಳು
1
ಪೋಸ್ಟ್ ಮಾಡಲಾಗಿದೆ
1 ಗಂಟೆ ಹಿಂದೆ
ಕೆಲಸದ ಮೋಡ್
ಕಚೇರಿಯಲ್ಲಿ
ವಿದ್ಯಾಭ್ಯಾಸ
Mathematics, Statistics, Computer Science, or equivalent experience
ಅರ್ಹತೆ
Candidates with a background or equivalent experience in Mathematics, Statistics, Computer Science, or a related field may apply. The role is open to applicants without prior professional experience, provided they are eager to learn and develop.
ಪುನರಾರಂಭ
ಅರ್ಜಿ ಸಲ್ಲಿಸಲು ಕಡ್ಡಾಯ

ನೀವು ಎಲ್ಲಿ ಕೆಲಸ ಮಾಡುತ್ತೀರಿ

ಕೆಲಸದ ವಿವರ

About the company

Netrolynx AI is presented as a professional development and training organization focused on helping people build job-ready skills. Its portfolio spans data analysis, software development, cybersecurity, and other technology areas, with an emphasis on practical learning, certification, and alignment with current industry needs.

Role overview

The organization is looking for careful, motivated Data Analysts who can convert complex datasets into clear insights that help guide business decisions. In this role, you will work with different teams to understand reporting needs, build analytical outputs, and communicate findings in a way that is useful for both technical and non-technical audiences. The opportunity is suitable for candidates beginning their data careers as well as those aiming to strengthen existing experience through hands-on work.

What you will do

  • Gather, clean, and structure large datasets so they remain accurate and dependable.
  • Create and update dashboards and reports that track key performance metrics.
  • Analyze information to uncover trends, patterns, and business-relevant insights.
  • Partner with cross-functional teams to clarify data requirements and deliver suitable solutions.
  • Automate repetitive data-handling tasks to improve productivity.
  • Share findings and recommendations in a clear, concise, and practical manner.
  • Keep up with newer tools and methods in data analysis to improve workflows over time.

What you need

  • Hands-on ability with data analysis tools such as Excel, SQL, Python, or R.
  • Exposure to visualization platforms such as Tableau or Power BI is an advantage.
  • Strong reasoning ability and a structured approach to problem-solving.
  • Good communication skills with the ability to explain complex information clearly.
  • A relevant degree such as Mathematics, Statistics, Computer Science, or comparable experience.
  • No prior professional experience is required, but a strong willingness to learn is important.

Benefits and support

  • Access to training that combines theory with practical application.
  • Opportunity to earn industry-recognized certifications.
  • Real project exposure that can be used to demonstrate experience to future employers.
  • Job guarantee support with a full fee refund if the program is completed and employment is not secured within the stated period.
  • Ongoing guidance, mentorship, and access to a network of professionals in the field.
  • Flexible payment options to make participation more accessible.

Equal opportunity

The company states that it follows an inclusive hiring approach and does not discriminate on the basis of race, gender, age, religion, national origin, disability, or other protected characteristics. Selection is intended to be fair and based on skills, experience, and potential.

ನಿಮಗೆ ಪ್ರತ್ಯುತ್ತರ ಬೇಕಾದರೆ ಅದನ್ನು ಬಿಡಿ — ನಾವು ಅದನ್ನು ಬೇರೆ ಯಾವುದಕ್ಕೂ ಬಳಸುವುದಿಲ್ಲ.

ಬ್ರೌಸ್ ಮಾಡಲು ಕ್ಲಿಕ್ ಮಾಡಿ, ಎಳೆಯಿರಿ ಮತ್ತು ಬಿಡಿ, ಅಥವಾ ಅಂಟಿಸಿ ಸ್ಕ್ರೀನ್‌ಶಾಟ್

PNG, JPG, GIF, MP4, WebM, MOV · ಪ್ರತಿಯೊಂದೂ ಗರಿಷ್ಠ 20MB · 5 ಫೈಲ್‌ಗಳವರೆಗೆ

🤖
ಆನ್‌ಲೈನ್ · ತ್ವರಿತ AI ಸಹಾಯ