Thread
Data is a HUGE field
Responsibilities and skills vary for different roles
10 job roles you should to be aware of:
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Responsibilities and skills vary for different roles
10 job roles you should to be aware of:
/🧵/
1/ Data Scientist:
This is a role that involves using statistical and analytical methods to extract insights from data.
A data scientist may work on tasks such as developing predictive models, building data pipelines and creating visualizations to communicate findings.
This is a role that involves using statistical and analytical methods to extract insights from data.
A data scientist may work on tasks such as developing predictive models, building data pipelines and creating visualizations to communicate findings.
2/ Data Engineer
This is a role that focuses on building and maintaining the infrastructure and systems that are used to store, process, and analyze data.
They design and implement data architectures, optimize data pipelines, and ensure data reliability and scalability.
This is a role that focuses on building and maintaining the infrastructure and systems that are used to store, process, and analyze data.
They design and implement data architectures, optimize data pipelines, and ensure data reliability and scalability.
3/ Business Intelligence Analyst
This is a role that involves using data to help organizations make better business decisions.
Tasks include designing and implementing dashboards, creating reports and visualizations, and providing insights to decision-makers.
This is a role that involves using data to help organizations make better business decisions.
Tasks include designing and implementing dashboards, creating reports and visualizations, and providing insights to decision-makers.
4/ Data Analyst
This is a role that involves using data to provide insights and support decision-making.
A data analyst may work on tasks such as cleaning and organizing data, performing statistical analyses, and presenting findings to stakeholders.
This is a role that involves using data to provide insights and support decision-making.
A data analyst may work on tasks such as cleaning and organizing data, performing statistical analyses, and presenting findings to stakeholders.
5/ Machine Learning Engineer
This is a role that involves building and deploying machine learning models to solve real-world problems.
They work on tasks such as developing algorithms, training, evaluating and deploying models to production environments.
This is a role that involves building and deploying machine learning models to solve real-world problems.
They work on tasks such as developing algorithms, training, evaluating and deploying models to production environments.
6/ Data Architect
This is a role that involves designing and implementing the data infrastructure for an organization.
A data architect may work on tasks such as defining data models, implementing data storage solutions, and ensuring data integrity and security.
This is a role that involves designing and implementing the data infrastructure for an organization.
A data architect may work on tasks such as defining data models, implementing data storage solutions, and ensuring data integrity and security.
7/ Database Administrator
This is a role that involves managing and maintaining the databases that are used to store an organization's data.
They work on tasks such as configuring and optimizing databases, troubleshooting issues, ensuring availability and performance.
This is a role that involves managing and maintaining the databases that are used to store an organization's data.
They work on tasks such as configuring and optimizing databases, troubleshooting issues, ensuring availability and performance.
8/ Data Quality Manager
This is a role that involves ensuring the accuracy, completeness, and reliability of an organization's data.
A data quality manager may work on tasks such as defining and implementing, monitoring and improving data quality standards.
This is a role that involves ensuring the accuracy, completeness, and reliability of an organization's data.
A data quality manager may work on tasks such as defining and implementing, monitoring and improving data quality standards.
9/ Data Visualization Specialist
This is a role that involves creating visual representations of data to help communicate insights and findings.
Designing and creating visualizations and using software tools to create interactive and engaging visualizations are the tasks done.
This is a role that involves creating visual representations of data to help communicate insights and findings.
Designing and creating visualizations and using software tools to create interactive and engaging visualizations are the tasks done.
10/ Data Product Manager
This is a role that involves defining and building data-driven products that provide value to customers or users.
They work on tasks such as identifying customer needs, defining product requirements, and collaborating with data scientists and engineers.
This is a role that involves defining and building data-driven products that provide value to customers or users.
They work on tasks such as identifying customer needs, defining product requirements, and collaborating with data scientists and engineers.
That's a wrap!
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