Data Analyst Intern

Skills:
Python, SQL, Tableau, Excel, Power BI, Pandas, Data Cleaning, Data Visualization,

Company Overview

TwiLearn Pay After Placement is an innovative online learning platform revolutionizing IT training in India. Catering to the increasing demand for skilled IT professionals, TwiLearn offers courses aligned with current tech trends. With a unique Pay After Placement model, learners access live classes, hands-on projects, and internships. TwiLearn provides job placement support and ensures learners are ready to thrive in the digital workforce.

Job Overview

Join TwiLearn as a Data Analyst Intern and embark on a promising career path in the data analytics domain. This entry-level role is perfect for freshers seeking hands-on experience in data management and analysis. As a remote position, it offers flexibility while still promising exciting opportunities in major tech hubs like Pune, Delhi, Bangalore, Mumbai, Chennai, Hyderabad, and Bidar. Applicants should possess 0 to 1 year of professional experience.

Qualifications And Skills

• Proficiency in Python for data manipulation and analysis to derive meaningful insights from diverse datasets.
• Strong knowledge of SQL for querying databases and extracting essential information efficiently and accurately.
• Experience in Tableau for creating interactive and visually appealing data visualizations to aid decision making.
• Advanced Excel skills, including formulas, pivot tables, and data analysis tools for detailed reports and insights.
• Proficiency in Power BI for building comprehensive dashboards to visualize data trends and business metrics.
• Familiarity with Pandas library for data wrangling tasks such as merging, cleaning, and transforming datasets effectively.
• Competence in data cleaning to ensure data quality and accuracy before proceeding to analysis and reporting activities.
• Data visualization skills to present findings in an understandable and compelling format for stakeholders and clients.
  
  

Roles And Responsibilities

• Collaborate with senior analysts to gather, clean, and interpret data from various sources for meaningful insights.
• Develop and maintain dashboards and reports to track key performance indicators and inform business strategies.
• Assist in designing and implementing data-driven strategies that support organizational goals and objectives.
• Conduct data verification processes to ensure data integrity and accuracy throughout analytical tasks.
• Participate in team meetings to brainstorm and propose innovative solutions to data-related challenges.
• Support project initiatives by providing timely data analysis and reporting that aligns with project timelines.
• Communicate effectively with team members and stakeholders to share findings and suggest improvements.
• Engage in continuous learning to enhance data analytics skills and keep up with industry trends and tools.