Data Analyst ETL Power BI 
Data Science Dojo
OCTOBER 31, 2024
Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI. Strong analytical skills and the ability to work with large datasets are critical, as is familiarity with data modeling and ETL processes. This role builds a foundation for specialization.
Pickl AI
DECEMBER 16, 2024
Summary : Microsoft Fabric is an end-to-end Data Analytics platform designed for integration, processing, and advanced insights, while Power BI excels in creating interactive visualisations and reports. Both tools complement each other, enabling seamless data management and visualisation. What is Power BI?
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Towards AI
APRIL 2, 2024
The Objective of any data analyst is to find the hidden insights in the data and come out with useful suggestions or solutions to benefit the business. Photo by Nathan Dumlao on Unsplash Let’s dive into the world of data analysis. We have many tools that offer features like ETL, Visualization, and validations.
Dataconomy
DECEMBER 17, 2024
This blog post explores effective strategies for gathering requirements in your data project. Whether you are a data analyst , project manager, or data engineer, these approaches will help you clarify needs, engage stakeholders, and ensure requirements gathering techniques to create a roadmap for success.
Pickl AI
APRIL 26, 2024
This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.
phData
JULY 11, 2023
Power BI Datamarts is one of the most exciting features that Microsoft has released for the Power Platform in recent years. If you need high-level information on what a Power BI Datamart is and some example use cases, check out our other blog, What Are Power BI Datamarts?
Smart Data Collective
MAY 20, 2019
What skills should business analysts be focused on developing? For quite some time, the data analyst and scientist roles have been universal in nature. The more direct experience and talent an analyst has with automation technology, the more desirable they will be. What will our digital future look like?
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