Data Analyst

Company Description DFILS Infotech Pvt. Ltd. is a growing technology company focused on delivering data-driven solutions and IT services to a diverse range of clients. The organization combines domain expertise with modern analytics to help businesses make informed decisions and optimize performance. DFILS Infotech emphasizes a collaborative work environment, encouraging innovation and continuous learning. Team members work on real-world projects that leverage data to solve practical business challenges, offering strong opportunities for professional development.
Role Description This is a full-time, on-site Data Analyst role based in Bahadurgarh. The Data Analyst will collect, clean, and organize data from multiple sources, ensuring accuracy and consistency for reporting and analysis. The role involves building and maintaining dashboards and reports, performing exploratory and statistical analysis, and creating data models to support business decision-making. The Data Analyst will collaborate with cross-functional teams to translate business questions into analytical problems, present findings in a clear and actionable format, and recommend data-backed improvements. The position may also include documenting methodologies, maintaining data quality standards, and supporting the implementation of new analytics tools and processes.
Qualifications
Candidates should possess strong Analytical Skills and hands-on experience in Data Analytics.
Candidates should possess a solid foundation in Statistics and familiarity with statistical analysis techniques.
Candidates should possess experience in Data Modeling and working with relational or other database structures.
Candidates should possess clear and effective Communication skills for presenting insights to technical and non-technical stakeholders.
Candidates should ideally possess proficiency with analytics and visualization tools (e.g., Excel, SQL, Power BI, Tableau) and basic knowledge of scripting or programming (e.g., Python, R).
Candidates should ideally possess a relevant academic background, such as a degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field, along with strong attention to detail and problem-solving abilities.

Work arrangement
No