Discover the role, main responsibilities, and skill set of our top-notch remote data analysts.
Explore the key roles and responsibilities that our Data Analysts undertake to ensure the smooth operation of your data infrastructure.
Data Analysts collect data from various sources to provide insights for decision making.
Data Analysts clean and prune data to discard irrelevant information.
Data Analysts analyze and interpret complex data to help companies make decisions.
Data Analysts create detailed reports to present data findings.
Data Analysts use data visualization tools to present data in a clear, concise manner.
Data analyst.
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Data Engineer.
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Data Scientist.
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ML Engineer.
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Data Collection
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Collects and processes raw data
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Designs, constructs, installs, tests and maintains data management systems
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Does not typically collect raw data
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Does not typically collect raw data
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Data Analysis
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Analyzes and interprets complex data sets
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Ensures systems meet business requirements and industry practices
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Interprets trends and patterns in complex data sets
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Interprets trends and patterns in complex data sets
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Data Modeling
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Does not typically build predictive models
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Builds algorithms and prototypes
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Builds and optimizes data models
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Designs and builds machine learning models
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Machine Learning
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Does not typically work with machine learning
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Does not typically work with machine learning
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Builds predictive models and machine-learning algorithms
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Builds predictive models and machine-learning algorithms
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Data Visualization
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Presents data in a visual context
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Does not typically present data visually
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Presents data in a visual context
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Presents data in a visual context
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Data Cleaning
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Cleans and validates data for analysis
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Cleans and validates data for storage
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Cleans and validates data for analysis
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Cleans and validates data for machine learning models
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Data Integration
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Does not typically integrate data from different sources
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Integrates data from different sources
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Cleans and validates data for analysis
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Cleans and validates data for machine learning models
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Data analyst.
|
Data Collection
Collects and processes raw data
|
Data Analysis
Analyzes and interprets complex data sets
|
Data Modeling
Does not typically build predictive models
|
Machine Learning
Does not typically work with machine learning
|
Data Visualization
Presents data in a visual context
|
Data Cleaning
Cleans and validates data for analysis
|
Data Integration
Does not typically integrate data from different sources
|
Data Engineer.
|
Data Collection
Designs, constructs, installs, tests and maintains data management systems
|
Data Analysis
Ensures systems meet business requirements and industry practices
|
Data Modeling
Builds algorithms and prototypes
|
Machine Learning
Does not typically work with machine learning
|
Data Visualization
Does not typically present data visually
|
Data Cleaning
Cleans and validates data for storage
|
Data Integration
Integrates data from different sources
|
Data Scientist.
|
Data Collection
Does not typically collect raw data
|
Data Analysis
Interprets trends and patterns in complex data sets
|
Data Modeling
Builds and optimizes data models
|
Machine Learning
Builds predictive models and machine-learning algorithms
|
Data Visualization
Presents data in a visual context
|
Data Cleaning
Cleans and validates data for analysis
|
Data Integration
Cleans and validates data for analysis
|
ML Engineer.
|
Data Collection
Does not typically collect raw data
|
Data Analysis
Interprets trends and patterns in complex data sets
|
Data Modeling
Designs and builds machine learning models
|
Machine Learning
Builds predictive models and machine-learning algorithms
|
Data Visualization
Presents data in a visual context
|
Data Cleaning
Cleans and validates data for machine learning models
|
Data Integration
Cleans and validates data for machine learning models
|
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