Torrent Pharma - Data Analyst

Data Analyst Roles and Responsibilities

1. Data Quality and Integrity

- Ensure that data is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions

- Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors

2. Collecting Data from Various Sources

- Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems.

3. Developing and Supporting Reporting Processes

- Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights

- Identify opportunities for process enhancements

- Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes

4. Developing Automated Processes for Data Scraping

- Design scripts and tools to automatically extract large volumes of data from websites or other digital sources, improving efficiency and availability.

5. Interpret Data

- Detect, examine, and decode trends or patterns within intricate datasets

- Employ statistical techniques to scrutinize data and produce actionable business insights

- Your analyses will help extract meaningful insights and trends, which can then inform business decisions and strategies

- Develop data dashboards, charts, and visual aids to support decision-making across departments

6. Performs Complex Analyses

- Conduct in-depth data analyses using advanced statistical methods and tools to uncover patterns, correlations, and insights

7. Maintaining Databases

- You will be entrusted with the responsibility of managing and updating databases to ensure they are secure, accessible, and functioning properly. Your role is crucial in supporting ongoing data storage and retrieval needs.

8. Collaboration

- Coordinate with management to align business and informational priorities

- Collaborate with the management team to determine and rank the needs of different business units

Skills and Qualifications

- Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.

- Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.

- Capable of critically evaluating data to derive meaningful, actionable insights.

- Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.

- A bachelor's degree in Computer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.