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In-Demand Business Analyst Career Paths in 2024

Knowledge Hut

The business analyst role is an exciting and challenging career path that involves analyzing information, communicating with stakeholders, and making recommendations to help improve business performance. The demand for Business Analysts has increased due to the need for good analytical skills in almost all industries.

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50 Business Analyst Interview Questions and Answers

ProjectPro

This blog contains a list of business analyst interview questions and answers. You will find it helpful if you are a hiring manager who is looking for business analyst questions to ask during an interview and also if you are a job seeker who is interested in business analyst jobs.

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Power BI Developer Roles and Responsibilities [2023 Updated]

Knowledge Hut

Data Analysis: Perform basic data analysis and calculations using DAX functions under the guidance of senior team members. Data Integration: Assist in integrating data from multiple sources into Power BI, ensuring data consistency and accuracy. Ensure compliance with data protection regulations.

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Analysts make the best analytics engineers

dbt Developer Hub

So let’s say that you have a business question, you have the raw data in your data warehouse , and you’ve got dbt up and running. You’re in the perfect position to get this curated dataset completed quickly! You’ve got three steps that stand between you and your finished curated dataset. Or are you?

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Top 10 Power BI Tips and Tricks to Enhance Your Reports

Knowledge Hut

As per Microsoft, “A Power BI report is a multi-perspective view of a dataset, with visuals representing different findings and insights from that dataset. ” Reports and dashboards are the two vital components of the Power BI platform, which are used to analyze and visualize data. Use descriptive names.

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5 Ways to Use Column Level Data Lineage

Monte Carlo

While this is a critical step in preventing larger data incidents—it doesn’t tell you how to fix an issue once you find it. Traditionally, root-causing data quality issues required manually parsing through datasets—sometimes for weeks at a time—to discover the source of a particular data anomaly.

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Title: 5 Ways to Use Column Level Data Lineage

Monte Carlo

While this is a critical step in preventing larger data incidents—it doesn’t tell you how to fix an issue once you find it. Traditionally, root-causing data quality issues required manually parsing through datasets—sometimes for weeks at a time—to discover the source of a particular data anomaly.