Data Analyst Intern
NxtShiksha
Date: 2 weeks ago
City: Pune, Maharashtra
Contract type: Intern
Remote
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Skills:
SQL, Python, Tableau, Excel, Power BI, Google Analytics, R, Data Visualization,
Company Overview
NxtShiksha is a forward-thinking company revolutionizing digital education with expert-led, immersive classes in fields like digital marketing, full stack web development, and AI utilization. Operating within the education industry, NxtShiksha aims to equip tomorrow's digital pioneers with the skills they need in a rapidly evolving tech landscape. Based in Delhi, the company offers innovative learning solutions coupled with industry expert mentorship, ensuring practical, hands-on experience for all its learners.
Job Overview
Join NxtShiksha as a Data Analyst Intern and gain invaluable experience in data analysis, reporting, and visualization. This remote internship offers you the flexibility to work from anywhere, including Pune, Mumbai, Bangalore, Noida, Kolkata, Hyderabad, and Chennai. Ideal for freshers, this internship allows you to dive into the world of data with zero to minimal prior work experience required while building career-ready skills with live projects under expert guidance.
Qualifications And Skills
SQL, Python, Tableau, Excel, Power BI, Google Analytics, R, Data Visualization,
Company Overview
NxtShiksha is a forward-thinking company revolutionizing digital education with expert-led, immersive classes in fields like digital marketing, full stack web development, and AI utilization. Operating within the education industry, NxtShiksha aims to equip tomorrow's digital pioneers with the skills they need in a rapidly evolving tech landscape. Based in Delhi, the company offers innovative learning solutions coupled with industry expert mentorship, ensuring practical, hands-on experience for all its learners.
Job Overview
Join NxtShiksha as a Data Analyst Intern and gain invaluable experience in data analysis, reporting, and visualization. This remote internship offers you the flexibility to work from anywhere, including Pune, Mumbai, Bangalore, Noida, Kolkata, Hyderabad, and Chennai. Ideal for freshers, this internship allows you to dive into the world of data with zero to minimal prior work experience required while building career-ready skills with live projects under expert guidance.
Qualifications And Skills
- Proficiency in SQL, Python, Power BI (Mandatory skill) to manage and analyze data efficiently for insights.
- Knowledge of Tableau for crafting insightful data visualizations that help in strategic decision-making.
- Strong skills in Excel for organizing, analyzing, and manipulating data in the most efficient way.
- Experience with Google Analytics to track and analyze data across various digital channels effectively.
- Understanding of R programming language for carrying out data analysis and statistical operations.
- Capability to interpret data and translate it into actionable insights for different stakeholders.
- Basic understanding of data visualization concepts to present data in an accessible and understandable format.
- Eagerness to learn and adapt quickly in a fast-paced digital environment, applying new skills and concepts effectively.
- Assist in collecting, cleaning, and analyzing data from various sources to support business objectives.
- Collaborate with cross-functional teams to identify relevant metrics and KPIs, contributing to data-driven decisions.
- Create and maintain dashboards and reports using tools like Power BI and Tableau to visualize data insights effectively.
- Perform ad-hoc data analysis and present findings to stakeholders using storytelling techniques and data visualization.
- Support in developing predictive models using analytical tools to forecast trends and patterns in data.
- Engage in training initiatives to cultivate a deeper understanding of data analytics and related tools.
- Assist in the documentation of processes and methodologies for data collection and analysis, ensuring accuracy and efficiency.
- Contribute to the continuous improvement of data handling processes and overall data quality management.
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