Role & responsibilities

Data Collection

- Collect data from databases, spreadsheets, surveys, applications, and other sources.

- Identify relevant and reliable data for analysis.

- Ensure data is complete and available for reporting.

2. Data Cleaning &

- Preparation

- Clean and organize raw data.

- Identify and correct errors, duplicates, missing values, and inconsistencies.

- Transform data into a suitable format for analysis.

- Maintain data quality and accuracy.

3. Data Analysis

- Analyze data to identify trends, patterns, relationships, and anomalies.

- Use statistical methods and analytical techniques to interpret data.

- Compare current performance with historical or expected results.

- Generate meaningful insights from large datasets.

4. Reporting &

- Visualization

- Prepare regular and ad-hoc reports.

- Create dashboards, charts, graphs, and visualizations.

- Present complex information in a straightforward and understandable manner.

- Track key performance indicators (KPIs).

5.

Business

Support

- Provide data-driven insights to management and relevant departments.

- Support decision-making through accurate analysis.

- Identify opportunities for improvement and potential risks.

- Answer business questions using available data.

6. Database &

- Technical Responsibilities

- Work with databases and write queries using tools such as SQL.

- Use analytical and visualization tools such as Excel, Power BI, Tableau, or Python, depending on organizational requirements.





- Maintain data documentation and reporting processes.

- Automate repetitive reports and analytical tasks where possible.

7. Data Quality &

- Security

- Perform regular data validation and quality checks.

- Maintain accuracy, consistency, and integrity of data.

- Follow organizational policies regarding data privacy and security.

- Ensure sensitive information is handled appropriately.

8. Collaboration

- Work with management, IT, finance, operations, clinical teams, or other departments.

- Understand stakeholder requirements and convert them into analytical reports.

- Communicate findings clearly to both technical and non-technical users.

9. Monitoring &

- Continuous Improvement

- Monitor KPIs and business performance.

- Identify unusual changes or trends and report them promptly.

- Improve existing dashboards, reports, and analytical processes.

- Recommend process improvements based on data findings.

10. Documentation

- Maintain documentation of data sources, definitions, calculations, and reports.

- Ensure reports and dashboards are reproducible and understandable.

- Maintain proper records of analytical work and methodologies.

Preferred candidate profile

- Candidate must have knowledge of advanced Excel, MS Powerpoint &
- Power BI.
- Candidate must have presentation skill.
- Preferring candidate with immediate joining.
- Candidate must have 1 year of relevant experience.

📌 Data Analyst (Bengaluru)
🏢 Sahrudaya Health Care
📍 Bengaluru