Data Retrieval
About
Data retrieval involves the process of recovering lost or corrupted data from storage devices such as hard drives, memory cards, and USB drives. It requires a specialized skill set and knowledge of data recovery techniques and software tool...
Related Skills
Browse the most common related skills to this skill, based on the last 5 months of job postings data.
How does Lightcast define a skill?
Data Abstraction refers to the process of simplifying complex data structures by highlighting essential features while hiding unnecessary details. This skill involves creating models that represent data in a way that facilitates easier understanding and manipulation. Knowledge of Data Abstraction is used to design software systems, enabling efficient data management and enhancing the clarity of data interactions in programming and database management. It supports the development of applications by allowing developers to focus on high-level operations without being overwhelmed by intricate data specifics.
Data Extraction refers to the process of retrieving relevant data from various sources, such as databases, documents, or web pages. This skill involves techniques and tools that enable the identification, collection, and transformation of data into a usable format for analysis or reporting. Knowledge of Data Extraction is utilized to streamline data processing workflows, enhance data quality, and support decision-making by providing accurate and timely information.
Data Quality Assurance refers to the systematic process of monitoring and evaluating data to ensure it meets established standards for accuracy, completeness, and reliability. This skill involves implementing validation rules, performing data profiling, and establishing remediation workflows to address identified anomalies. It is used to maintain the integrity of organizational information assets and support informed decision making through high quality data.
Data Reporting refers to the process of collecting, organizing, and presenting data in structured formats for analysis, communication, or compliance. It involves the use of tools and methods to generate summaries, dashboards, and performance indicators based on data inputs. The skill supports decision-making by transforming raw data into actionable insights through scheduled or ad hoc reports.
Missing Data refers to the absence of values in a dataset, which can occur due to various reasons such as data collection errors or non-responses. This skill involves identifying, analyzing, and addressing gaps in data to ensure the integrity and reliability of statistical analyses. Knowledge of Missing Data is used to apply techniques such as imputation or deletion, enabling accurate interpretations and conclusions in research and data-driven decision-making.
Lightcast Skills Taxonomy
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Are you a nonprofit pursuing a public good? Lightcast Skills APIs are freely available to you because we believe in using data for good and creating a labor market that works for everyone. Through the shared language of skills, we can enable a world where every worker and every job can find their best fits as efficiently and easily as possible.
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Lightcast Skills Resources

Degree Requirements are Dropping—But They’re Still Higher for AI Jobs

He Tried College Three Times. Then He Found a Career With No Ceiling.

The Rise of Fractional Leadership
About
Data retrieval involves the process of recovering lost or corrupted data from storage devices such as hard drives, memory cards, and USB drives. It requires a specialized skill set and knowledge of data recovery techniques and software tool...
Related Skills
Browse the most common related skills to this skill, based on the last 5 months of job postings data.
How does Lightcast define a skill?
Data Abstraction refers to the process of simplifying complex data structures by highlighting essential features while hiding unnecessary details. This skill involves creating models that represent data in a way that facilitates easier understanding and manipulation. Knowledge of Data Abstraction is used to design software systems, enabling efficient data management and enhancing the clarity of data interactions in programming and database management. It supports the development of applications by allowing developers to focus on high-level operations without being overwhelmed by intricate data specifics.
Data Extraction refers to the process of retrieving relevant data from various sources, such as databases, documents, or web pages. This skill involves techniques and tools that enable the identification, collection, and transformation of data into a usable format for analysis or reporting. Knowledge of Data Extraction is utilized to streamline data processing workflows, enhance data quality, and support decision-making by providing accurate and timely information.
Data Quality Assurance refers to the systematic process of monitoring and evaluating data to ensure it meets established standards for accuracy, completeness, and reliability. This skill involves implementing validation rules, performing data profiling, and establishing remediation workflows to address identified anomalies. It is used to maintain the integrity of organizational information assets and support informed decision making through high quality data.
Data Reporting refers to the process of collecting, organizing, and presenting data in structured formats for analysis, communication, or compliance. It involves the use of tools and methods to generate summaries, dashboards, and performance indicators based on data inputs. The skill supports decision-making by transforming raw data into actionable insights through scheduled or ad hoc reports.
Missing Data refers to the absence of values in a dataset, which can occur due to various reasons such as data collection errors or non-responses. This skill involves identifying, analyzing, and addressing gaps in data to ensure the integrity and reliability of statistical analyses. Knowledge of Missing Data is used to apply techniques such as imputation or deletion, enabling accurate interpretations and conclusions in research and data-driven decision-making.
Lightcast Skills Taxonomy
Looking for a specific skill? Search our library. Explore 35,000+ skills that we've collected from hundreds of millions of job postings, resumes, and online profiles.
The Lightcast Skills Taxonomy delivers clarity by allowing everyone to speak the same language. Use our APIs to articulate your skills needs, and leave the details to us: our dedicated team of taxonomists and engineers cleans, checks, and updates each entry so that you always have the most accurate and up-to-date picture of the labor market.
Are you a nonprofit pursuing a public good? Lightcast Skills APIs are freely available to you because we believe in using data for good and creating a labor market that works for everyone. Through the shared language of skills, we can enable a world where every worker and every job can find their best fits as efficiently and easily as possible.
Browse Skill Categories
Lightcast Skills Resources

Degree Requirements are Dropping—But They’re Still Higher for AI Jobs

He Tried College Three Times. Then He Found a Career With No Ceiling.

The Rise of Fractional Leadership
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This skill is part of the Lightcast Skills Taxonomy, a library of over 35,000 job related skills. It is the standard used by higher education institutions, public sector organizations and Fortune 500 companies around the globe.