Mis Analyst

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

Chandigarh University