What I *actually* do as a data analyst | Reality of jobs | Genpact

Summary

In this video, the speaker shares her personal experience as a data analyst at Genpact. She outlines key responsibilities such as dashboard creation, managing data access, solving data-related problems, and continuous learning. From creating automated dashboards to managing client data and permissions, the speaker highlights the essential tasks and skills needed in the field. She also discusses the challenges of managing complex projects, working in teams, and the ongoing process of staying updated with new advancements like AI integration. The video offers valuable insights for aspiring data analysts, showcasing the dynamic nature of the role.

Takeaways

• 😀 Dashboard creation is the most important task for a data analyst, involving client requirements, creating rough layouts, and finalizing after client feedback.
• 😀 Data analysts often work on both single-page and multi-page dashboards, with multi-page being more common in corporate settings.
• 😀 A data analyst should have a wide range of skills, including Python, Power BI, and SQL, to handle complex projects independently.
• 😀 Senior managers handle client meetings, and data analysts usually work behind the scenes, creating and refining dashboards based on feedback.
• 😀 Many companies face issues with manual data updates in dashboards, and automation is a key solution to reduce this burden.
• 😀 Data analysts help clients transition from manual data management to automated processes, which is a long and complex task involving pipelines and warehousing.
• 😀 Managing data access is an important responsibility for data analysts, ensuring that only authorized individuals have access to sensitive data.
• 😀 Data analysts handle data access requests through email, using SQL queries to grant specific permissions for the required data.
• 😀 Problem-solving and troubleshooting are a significant part of the data analyst's role, often involving trial and error to resolve data-related issues.
• 😀 Continuous learning is essential for data analysts, as they need to stay updated with new advancements in the field, including AI integration and other technological updates.

Q & A

What is the main role of a data analyst as described in the video?

A data analyst is responsible for tasks like dashboard creation, managing access to data, solutioning, and continuous learning. They create dashboards based on client requirements, manage data access permissions, and handle various data-related issues within the company.

How does the process of creating a dashboard work?

The process starts with a rough dashboard layout based on the client’s requirements, followed by approvals and revisions. Once the dashboard is approved, the final version is formatted, and sometimes the dashboard may involve multiple pages depending on the company's needs.

What role does automation play in dashboard creation?

Automation helps to make dashboards more efficient by eliminating manual updates. Clients no longer have to update dashboards manually, which was common before automation, but now systems are designed to automatically update the data.

What are the challenges of working on complex dashboards?

Complex dashboards require careful planning and often involve handling large datasets and creating multiple interconnected pages. They may require collaboration with a team and extensive testing before final approval.

What kind of technical skills are necessary for data analysts in this job?

Data analysts should be familiar with Python, Power BI, SQL, and other tools, as they might need to handle complex tasks independently, depending on the project. These tools help them to create, manage, and automate dashboards.

What is the role of senior managers in client meetings?

Senior managers typically lead client meetings. Data analysts are not usually involved in direct client-facing tasks, but they may work on the project once the requirements are gathered and the tasks are distributed.

What is the responsibility of a data analyst in managing data access?

A data analyst manages access to sensitive data by ensuring that only authorized individuals can access specific datasets. They handle requests for access and ensure that data security is maintained.

How does the process of managing access to data work?

When someone needs access to data, they send a request via email. The data analyst then runs a SQL query to grant access to only the required data, ensuring that no extra or unnecessary data is provided.

What kind of problems do data analysts handle in solutioning?

Data analysts handle troubleshooting and problem-solving related to data pipelines and access issues. They work with teams to resolve issues such as failed pipelines or missing data access, often requiring trial and error.

Why is continuous learning important for data analysts?

Continuous learning is essential for data analysts to stay updated with the latest tools, technologies, and methodologies in the field. They must keep up with updates in software like Power BI, fabric, and new advancements like AI integration.