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Entry-Level Data Analyst Apprentice

Placements24
Full Timeentry
Nagpur, Maharashtra, INPosted April 24, 2026

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PythonRSQL

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Job Description

Our client is offering a fantastic opportunity for a driven and curious Entry-Level Data Analyst Apprentice to embark on a rewarding career path. This apprenticeship is designed to immerse you in the world of data, providing hands-on experience in data collection, cleaning, analysis, and visualization. You will work under the guidance of experienced data professionals, learning to extract meaningful insights from complex datasets. Responsibilities include supporting data collection efforts, performing data validation and cleaning, assisting in the generation of reports and dashboards, and identifying trends and patterns within data. The program focuses on developing your analytical skills and proficiency with data analysis tools. This is an excellent chance to gain practical experience, build a strong foundation in data analytics, and contribute to data-driven decision-making within the organization. You will learn to use tools such as SQL, Excel, and potentially basic Python or R for data manipulation and analysis. The learning environment is supportive, and the program is structured to foster rapid skill development. We are looking for individuals with a strong aptitude for numbers and a genuine interest in understanding data. This role is perfect for recent graduates or individuals looking to transition into a data-focused career. Join us in building a data-savvy future in **Nagpur, Maharashtra, IN**. Requirements: Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. Strong analytical and problem-solving skills. Proficiency in Microsoft Excel. Familiarity with SQL is a plus. Eagerness to learn data analysis tools and techniques. Good communication and interpersonal skills. Ability to work effectively in a team environment. Detail-oriented with a commitment to accuracy. Basic understanding of statistical concepts. Proactive attitude and a desire to contribute to data-driven insights.

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