Roles in Data & AI: What Does a Data Analyst Do?

Have you ever wondered what it takes to turn raw data into meaningful insights? Enter the world of a data analyst, where every day is filled with exciting new challenges and opportunities. But what exactly does a data analyst do?

The Role of a Data Analyst

A data analyst is responsible for examining, cleaning, transforming, and modeling data to discover valuable insights and support decision-making. They work with large datasets and use various techniques and tools to extract insights that can help organizations make informed decisions.

Data analysts can be found in a variety of industries, including finance, healthcare, retail, and technology, to name a few. They use their skills to analyze trends, patterns, and relationships in data and turn that information into actionable recommendations.

The Importance of the Right Tools and Technologies

One of the keys to success as a data analyst is having the right tools and technologies at your disposal. That’s where Azure comes in. Azure is a cloud-based platform that offers a wide range of tools and technologies specifically designed for data analysis. From data storage and management to data processing and analysis, Azure has everything a data analyst needs to do their job effectively.

Azure Data Factory for Data Processing and Movement

One of the most popular Azure technologies for data analysis is Azure Data Factory. It allows data analysts to automate data processing and movement, making it easy to manage large amounts of data. With Azure Data Factory, data analysts can easily integrate data from various sources, such as databases, cloud storage, and on-premise systems, and use that data to create meaningful insights.

Azure Machine Learning for Powerful Machine Learning Models

Another popular Azure technology for data analysis is Azure Machine Learning. This cloud-based platform provides a simple and powerful way to build and deploy machine learning models, making it easier for data analysts to extract insights from their data. With Azure Machine Learning, data analysts can quickly and easily create models to identify patterns, trends, and relationships in their data, unlocking valuable insights that can help organizations make better decisions.

Visualization with Power BI

Finally, Azure also offers a suite of visualization tools, including Power BI, to help data analysts present their findings in a clear and impactful way. Whether it’s creating interactive dashboards or generating reports, Power BI provides a simple and intuitive way to communicate insights to decision-makers and stakeholders.

Our talents learn how to make dashboards in Microsoft Power BI

Retraining as a Data Analyst

If you’re considering a career change, becoming a data analyst may be a great option for you. While a background in computer science, statistics, or mathematics can certainly be an advantage, there are many transferable skills that can make you a successful data analyst. Strong communication skills, attention to detail, an analytical mindset, and project management experience are just a few examples of skills that can be valuable in this role.

Available Courses

If you’re interested in becoming a data analyst, Techionista offers two exciting courses to help you get started. First, there’s the short track Power BI: Storytelling with Data. This beginner course lasts for three days and will introduce you to the Power BI tool. It’s a great way to find out if data analysis is the right career path for you. The course is available for free with STAP budget.

For those who want to dive deeper, Techionista offers an 8-week retraining track: Microsoft Azure Certified Data & AI. During this course, you’ll obtain two Microsoft certificates: AZ900 and PL300, and gain valuable career skills. You’ll also get access to Techionista Talent Match, where you can connect with potential employers as a freshly trained data analyst. It’s the perfect way to take your first step towards an exciting new career in data analysis!