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1 Chandigarh University MIS Analyst Job

Mis Analyst

Chandigarh University

based on 1.1k Reviews

1-4 years

Unnao, Kanpur, Lucknow

1 vacancy

Mis Analyst

Chandigarh University

posted 7mon ago

Fixed timing

Key skills for the job

+ 2 more

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:

Bachelors/Masters 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.