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Automation Risk Analysis

Will “Data Quality Analyst” be Automated?

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AI Exposure Risk

43%

“Data Quality Analyst” will probably not be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 43% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

1%

“Data Quality Analyst” will not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 1% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Data Scientists, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

Avg. Annual Salary $124,590
Avg. Hourly Wage $59.90
Available Jobs (US) 233,440
Job Title & Hierarchy Code (SOC) Data Scientists #15-2051
Wage vs. National Median
ℹ️

Data is based on the reference occupation: “Data Scientists”

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Core Skills & Abilities

  • Analyze, manipulate, or process large sets of data using statistical software.

  • Recommend data-driven solutions to key stakeholders.

  • Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.

  • Identify relationships and trends or any factors that could affect the results of research.

  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.

  • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.

  • Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.

  • Clean and manipulate raw data using statistical software.

  • Write new functions or applications in programming languages to conduct analyses.

  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.

  • Design surveys, opinion polls, or other instruments to collect data.

  • Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.

  • Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.

  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.

  • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.

  • Identify business problems or management objectives that can be addressed through data analysis.

Technologies & Software

  • Shell script
  • Cursor AI
  • Perplexity AI
  • Teradata Database
  • SAS
  • Julia
  • Ruby
  • Management information systems MIS
  • Google Looker Analytics
  • Google Cloud software
  • SciPy
  • Python
  • Git
  • Reporting software
  • Apache Hive
  • MapReduce big data software
  • Microsoft Excel
  • Qlik Tech QlikView
  • Go
  • GitHub Copilot
  • Keras
  • TensorFlow
  • Bash
  • v0 by Vercel
  • The MathWorks MATLAB
  • Snowflake
  • Perl
  • pandas
  • BigQuery
  • Google Antigravity
  • Microsoft Power BI
  • Microsoft Access
  • Amazon Simple Storage Service S3
  • RESTful API
  • NoSQL
  • Alteryx software
  • UNIX
  • Neo4j
  • Apache Spark
  • Amazon Redshift
  • Codeium
  • Apache Hadoop
  • Statistical software
  • Docker
  • StataCorp Stata
  • JavaScript Object Notation JSON
  • Atlassian Confluence
  • Mlflow
  • PySpark
  • Amazon Web Services AWS software
  • PostgreSQL
  • MongoDB
  • C
  • Jenkins CI
  • Microsoft Office software
  • OpenAI ChatGPT
  • Apache Airflow
  • Scikit-learn
  • Apache Pig
  • XGBoost
  • spaCy
  • R
  • Kubeflow
  • Amazon CodeWhisperer
  • PyTorch
  • Microsoft Azure software
  • Microsoft PowerPoint
  • Scala
  • Microsoft SQL Server
  • GitHub
  • Amazon Elastic Compute Cloud EC2
  • Kubernetes
  • Gemini Code Assist
  • C#
  • Claude (Anthropic)
  • Atlassian JIRA
  • Splunk Enterprise
  • Flask
  • Structured query language SQL
  • Devin (Cognition AI)
  • Apache Kafka
  • Tabnine
  • Linux
  • Lovable.dev
  • Jupyter software
  • Tableau
  • Mistral AI (chat/models)
  • Elasticsearch
  • Apache MXNet
  • Apache Cassandra
  • Bolt.new
  • C++
  • JavaScript
  • Oracle Java
  • Geographic information system GIS systems
  • Mathematical software
  • Amazon Web Services AWS SageMaker
  • NumPy
  • Business intelligence software
  • Shiny
  • IBM SPSS Statistics