Data Analyst

Job Overview

Join RecroconX Technologies as a Data Analyst Trainee and embark on a dynamic career path in data analysis. This role is designed for freshers with 0 to 1 year of work experience who are eager to develop their skills. The position is a full-time internship that is entirely remote, offering a flexible work environment. You'll have the opportunity to work with a team of experts and gain hands-on experience in various aspects of data analysis, visualization, and problem-solving.

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Qualifications and Skills

• Proficiency in data analysis techniques to interpret complex data sets and provide actionable insights.
• Capability in data visualization to create compelling reports and dashboards that effectively communicate data findings (Mandatory skill).
• Strong problem-solving skills to identify, address and resolve analytical challenges (Mandatory skill).
• Familiarity with SQL is required for querying databases and managing relational data efficiently.
• Advanced skills in Excel to perform data manipulations and execute complex data functions.
• Solid understanding of statistics to apply statistical analysis methods for data-driven decision-making.
• Basic proficiency in Python to automate data processes and leverage statistical libraries.
• Exhibit critical thinking to evaluate data critically and make informed business recommendations.

Roles and Responsibilities

• Assist in collecting, processing, and analyzing large datasets to uncover patterns and trends.
• Create and maintain daily, weekly, and monthly reports for various stakeholders.
• Collaborate with senior analysts and other departments to support data-driven projects and initiatives.
• Develop and deploy data visualization tools and systems to present findings effectively.
• Identify areas for operational improvement using analyzed data and propose feasible solutions.
• Regularly update and maintain databases to ensure data integrity and accessibility.
• Assist in automating repetitive data tasks to improve efficiency and reduce errors.
• Conduct exploratory data analysis to generate new insights and uncover business opportunities