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8 Data Analyst Skills Employers Need to See in 2023

December 22, 2023
in Data Science & ML
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Introduction

In the era of generative AI, the role of a business analyst has become more important than ever before. These professionals play a crucial role in translating data insights into actionable business strategies as organizations navigate complex data and market trends. Recent studies show a growing demand for business analysts, with the Bureau of Labor Statistics predicting a 14% growth from 2020 to 2030, faster than the average for all occupations. This surge is not limited to traditional educational paths but rather highlights a trend where practical, skills-focused training, such as that offered by Dataquest in Power BI and Tableau, can effectively prepare individuals for this dynamic field in just 3–4 months.

Who is a Business Analyst?

A business analyst serves as a bridge between IT and the business, utilizing data analytics to assess processes, determine requirements, and provide data-driven recommendations and reports to executives and stakeholders. Over the past five years, their role has evolved from traditional data analysis to a more strategic position that involves critical thinking, problem-solving, and influencing business decisions through data insights.

The Top 8 Business Analytics Job Roles with Salaries

1. Entry-level Business Analyst
Entry-level Business Analysts are typically assigned simpler or well-defined tasks and projects. They assist with data gathering, documentation, and basic analysis, focusing on learning the basics of the role and the specific processes of their organization. They have limited interaction with clients or stakeholders and often play a supportive role.
Salary: $55K–$86K/yr

2. Business Analyst
Business Analysts have a broader scope of responsibilities. They work to understand the overall business needs, identify problems or opportunities, and propose solutions. They act as a bridge between business stakeholders and technology teams, ensuring that projects align with business objectives.
Salary: $75K–$115K/yr

3. Business Intelligence Analyst
BI Analysts primarily focus on analyzing data to provide insights and generate actionable reports and dashboards. They work with historical data and concentrate on reporting and dashboard creation, assisting organizations in making data-driven decisions.
Salary: $80K–$115K/yr

4. Business Data Analyst
Business Data Analysts specialize in working with data to provide insights and support data-driven decision-making. They may work with a broader range of data sources and focus on analyzing current data to inform real-time or near-real-time decisions.
Salary: $75K–$112K/yr

5. IT Business Analyst
IT Business Analysts serve as intermediaries between the IT department and business units within an organization. They analyze IT systems and processes, translating business needs into technical requirements, and ensuring IT projects align with overall business goals.
Salary: $82K–$127K/yr

6. Business System Analyst
Business Systems Analysts streamline business processes and ensure that technology solutions meet the organization’s needs. They analyze an organization’s business processes and identify technology solutions to improve efficiency and productivity.
Salary: $88K–$128K/yr

7. Financial Business Analyst
Financial Business Analysts guide financial decisions and ensure the financial health of the organization. They examine financial data, assess investment opportunities, and provide insights to guide financial planning.
Salary: $88K–$127K/yr

8. AI Business Analyst
AI Business Analysts leverage artificial intelligence and machine learning technologies to solve business problems. They work with data scientists and business stakeholders to identify AI opportunities and implement AI solutions.
Salary: $93K–$102K/yr

How to Prepare for These Roles?

To enter these roles, aspiring business analysts should focus on developing key data skills. The Dataquest Business Analyst path, which offers specialized tracks in “Power BI” and “Tableau”, is an excellent starting point. This curriculum is designed to equip learners with crucial data skills within a 3-4 month timeframe. Skills covered include data visualization, statistical analysis, SQL, and more.



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