Aryavart Institute Of Technology Hiring Drive 2024: Aryavart Institute Of Technology Hiring Drive 2024 for its Data Analyst. Aryavart Institute Of Technology Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field(master’s degree preferred). if you are interested, please apply as soon as possible.
Company Name: Aryavart Institute Of Technology
Role: Data Analyst
Location: Across India
Experience: 1 – 3 years
Qualification: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field(master’s degree preferred).
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Aryavart Institute Of Technology Hiring Drive 2024
Job Description:
- As a Data Analyst at AVIT, you will be responsible for collecting, analyzing, and interpreting data to help our company make informed decisions.
- Your insights will contribute to our growth and competitiveness in the market.
- You will work with various teams to extract value from data and provide recommendations for improvements.
Requirements:
- bachelors degree in Data Science, Statistics, Mathematics, Computer Science, or a related field (masters degree preferred).
- Proven experience as a Data Analyst or similar role.
- Strong analytical skills with expertise in data analysis tools and techniques.
- Proficiency in data visualization tools (eg, Tableau, Power BI) and programming languages (eg, Python, R).
- Knowledge of statistical analysis and data mining techniques.
- Excellent problem-solving and critical-thinking abilities.
- Strong communication and presentation skills
Responsibility:
- Data Collection: Gather and compile data from various sources, ensuring data accuracy and completeness.
- Data Analysis: Analyze data to identify trends, patterns, and insights that can drive business decisions.
- Data Visualization: Create clear and concise data visualizations, reports, and dashboards to communicate findings effectively.
- Statistical Analysis: Use statistical methods to analyze data, perform hypothesis testing, and make data-driven recommendations.
- Data Quality: Monitor and improve data quality through data cleansing and validation processes.
- Data Insights: Provide actionable insights and recommendations based on data analysis to support strategic and operational decision-making.
- Data Reporting: Prepare regular and ad-hoc reports for stakeholders and management.
- Data Collaboration: Collaborate with cross-functional teams to understand their data needs and provide analytical support.
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