AddressKey Responsibilities:
1. Data Collection and Management:
- Gather and collect relevant data from various sources such as databases, surveys, research reports, and online platforms.
- Ensure the accurate and efficient storage of data in databases, spreadsheets, and other systems.
- Develop and maintain data collection processes, ensuring data integrity, consistency, and accuracy.
Contact No.: 7087118097
2. Data Analysis:
- Perform data cleaning, transformation, and manipulation using statistical techniques and tools.
- Apply advanced analytics methods to identify patterns, trends, and insights within the data.
- Conduct statistical analysis and hypothesis testing to validate findings and ensure data accuracy.
- Present findings in a clear and concise manner to stakeholders, using data visualization techniques.
- Provide actionable recommendations based on data insights to improve operational efficiency and drive strategic decision-making.
3. Reporting and Dashboard Creation:
- Generate regular and ad-hoc reports based on data insights to support business operations and decision-making processes.
- Develop and maintain interactive dashboards to visually represent data for easy comprehension by stakeholders.
- Collaborate with cross-functional teams to understand their data analysis needs and provide customized reports and dashboards accordingly.
4. Data Quality Assurance:
- Establish and implement data quality standards and guidelines to ensure data accuracy, consistency, and completeness.
- Identify and resolve data-related issues by conducting root cause analysis and implementing appropriate solutions.
- Develop and maintain data validation and quality control processes to minimize errors and ensure data reliability.
5. Stay Updated with Industry Trends:
- Keep abreast of the latest trends and advancements in data analysis tools, techniques, and methodologies.
- Continuously enhance data analysis skills and knowledge through self-learning and participation in relevant training programs.
Requirements:
- Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience (X years) as a Data Analyst or similar role, preferably within an educational institution.
- Proficiency in SQL, Python, R, or other programming languages.
- Strong analytical and problem-solving skills with the ability to generate insights from complex datasets.
- Excellent knowledge of data visualization tools like Tableau, Power BI, or similar software.
- Familiarity with statistical analysis tools such as SPSS, SAS, or MATLAB.
- Strong attention to detail and a keen eye for identifying anomalies and data inconsistencies.
- Ability to effectively communicate complex data findings to non-technical stakeholders.
- Exceptional time management and organizational skills to handle multiple projects simultaneously.
- Prior experience in using machine learning algorithms or predictive modeling is a plus.
- Knowledge of educational data and experience in the higher education industry would be an advantage.
Join Chandigarh University as a Data Analyst and contribute to our mission of leveraging data-driven insights to enhance decision-making, operational efficiency, and student success. Apply now and embark on an exciting journey with us!
Note: This job description is intended to provide a general overview of the responsibilities and requirements of the role and does not encompass all tasks that may be required from time to time.
