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Fresher years
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10 May 20, 2025
Job Description
Job Type: Full Time Education: B.E/ B.Tech/ M.E/ M.Tech, MCA / MSc, BCA/ B.Sc., Diploma Skills: Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel

Job Title: Data Analyst

Company: OMFYS Technologies India Pvt Ltd
Location: Pune District, Maharashtra
Industry: IT Services & Consulting


Job Summary

Join OMFYS Technologies as a Data Analyst and be part of a forward-thinking team focused on digital transformation and business intelligence. This role is ideal for candidates looking to grow their analytical and technical skills in a professional and dynamic environment.


Key Responsibilities

  1. Collect, clean, and organize large datasets from multiple sources.

  2. Perform data analysis using tools like Excel, SQL, or Python.

  3. Interpret trends and patterns to support business decision-making.

  4. Prepare reports, dashboards, and visualizations to present insights.

  5. Work closely with cross-functional teams to understand data needs.

  6. Maintain data accuracy, integrity, and security standards.

  7. Identify areas of data quality improvement and recommend solutions.

  8. Support automation and optimization of data processes.


Candidate Requirements

  1. Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field.

  2. Strong knowledge of data analysis tools (Excel, SQL, Python preferred).

  3. Basic understanding of data visualization tools like Power BI or Tableau.

  4. Good communication and documentation skills.

  5. Ability to manage time and multitask in a fast-paced environment.

  6. Attention to detail and a problem-solving attitude.

  7. Eagerness to learn and work collaboratively in a team.


Why Join OMFYS Technologies?

  1. Opportunity to work with global clients and enterprise-level data.

  2. Exposure to emerging technologies in AI, automation, and analytics.

  3. Supportive and innovative work environment.

  4. Room for career growth and skill enhancement.

  5. Employee-friendly policies and structured work culture.

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