How A Tableau Tutorial Opened The Door To Data
Published 7 days ago • 2 min read
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Which Data Career Is Right for You?
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UNDERSTANDING THE DATA INDUSTRY
Which Data Career Is Right for You?
Data Analyst, Business Analyst, Data Engineer and Data Scientist—explained simply.
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When you’re trying to break into data, the job titles can feel incredibly confusing.
They all work with data. They often sit inside the same teams. Sometimes they even use the same tools.
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The difference is the type of problem each person is responsible for solving.
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🧭 FOUR ROLES. FOUR DIFFERENT FOCUSES.
Here’s the Simplest Way to Understand Them
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📊 DATA ANALYST
Turns data into insight. They investigate questions such as why sales dropped, which products perform best and what customers are doing.
COMMON TOOLS: SQL, Tableau, Power BI and Excel
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💼 BUSINESS ANALYST
Focuses on business problems and processes. They work closely with stakeholders, identify bottlenecks and translate business needs into practical solutions.
CORE SKILLS: Communication, problem framing and process improvement
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🚂 DATA ENGINEER
Builds the infrastructure that moves and prepares data. They create pipelines so information is clean, reliable, accessible and secure.
COMMON TOOLS: SQL, Python, databases and cloud platforms
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🧠 DATA SCIENTIST
Uses advanced modelling to predict outcomes, forecast behaviour and classify groups—such as identifying which customers are most likely to buy a product.
CORE SKILLS: Statistics, programming, modelling and communication
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🔄 NOBODY WORKS IN ISOLATION
How the Team Solves a Business Problem
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💼 FRAME THE PROBLEM
The Business Analyst clarifies what the organisation needs.
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🚂 PREPARE THE DATA
The Data Engineer makes reliable information available.
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📊 INVESTIGATE THE RESULTS
The Data Analyst finds and communicates the insight.
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🧠 MODEL WHAT COMES NEXT
The Data Scientist predicts behaviour when advanced modelling is needed.
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In real companies, these boundaries often overlap. Analysts may perform business analysis. Engineers may support modelling. Your responsibilities will depend on the organisation, project and people around you.
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Don’t become paralysed trying to choose your permanent title. Get close to the work first—then follow the problems that interest you.
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🎥 WATCH THE COMPLETE EXPLANATION
Data Analyst vs Business Analyst vs Data Engineer vs Data Scientist
Watch the full video for real-world examples, common tools and a deeper explanation of how these four roles collaborate.
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Keep exploring,
Jed
Jellyman Education
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600 1st Ave, Ste 330 PMB 92768, Seattle, WA 98104-2246
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