The Role of Data Professionals

The world of Data Analysis, AI & ML has four key professionals:

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DATA ENGINEER
KEY ACTIVITIES
DATA EXTRACTION, INTEGRATION & ORGANIZATION

KEY SKILLS
PROGRAMMING
DATABASE MANAGEMENT

ACTIONS
DEVELOP & MAINTAIN DATA ARCHITECTURE
MAKE USER DATA AVAILABLE
EXTRACT, INTEGRATE & ORGANIZE DATA
CLEAN, TRANSFORM & PREPARE DATA
DESIGN, STORAGE & MANAGE DATA IN THE DATA REPOSITORY
CONVERT DATA TO A USABLE FORMAT

DATA ANALYST
KEY ACTIVITIES
TRANSFORMS DATA INTO MEANINGFUL INFO TO ENABLE INSIGHTS & DECISION MAKING THROUGH STRONG ANALYTICS & STORY TELLING

KEY SKILLS
STATISTICAL MODELLING
SPREADSHEETS
QUERY BUILDING
DATA ANALYTICAL TOOLS FOR MODELLING (API’s)
PROGRAMMING INTERFACE
DESCRIPTIVE & DIAGNOSTIC ANALYTICS

ACTIONS
INSPECT & CLEAN DATA
IDENTIFY CORRELATIONS
FIND PATTERNS
APPLY STATISTICAL METHODS TO ANALYZE DATA
INTERPRETE AND PRESENT FINDINGS THROUGH MEANINGFUL SUMMARIES, CHARTS, TRENDS & STATISTICS

DATA SCIENTIST
KEY ACTIVITIES
PREDICTIVE ANALYTICS (POSSIBLE OUTCOMES IN THE FUTURE)
DATA MODELLING
DATA ANALYTICS TOOLS/ SKILLS, MATHEMATICS & STATISTICS

KEY SKILLS
MACHINE LEARNING
DEEP LEARNING
PREDICTIVE ANALYSIS
DATA ANALYSIS
MATHEMATICS & STATISTICS

ACTIONS
UNDERSTANDING THE DOMAIN
MACHINE LEARNING
DEEP LEARNING
PREDICTIVE MODELLING

BUSINESS/ BI ANALYSTS
KEY ACTIVITIES
BUSINESS INSIGHTS (INTERNAL OR EXTERNAL)
UNDERSTANDING OF DATA ANALYSTS & DATA SCINTISTS DELIVERABLES

KEY SKILLS
BUSINESS INTELLIGENCE
DOMAIN KNOWLEDGE

ACTIONS
DERIVE THE INSIGHTS FROM THE DATA ANALYSTS & DATA SCIENTISTS TO TAKE BUSINESS DECISIONS
PRESCRIPTIVE ANALYTICS (WHAT CAN BE DONE IN FUTURE BASED ON DESCRIPTIVE, DIAGNOSTIC & PREDICTIVE ANALYTICS)