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Automation Risk Analysis

Will “Data Analyst” be Automated?

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AI Exposure Risk

43%

“Data 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 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

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

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

  • Recommend data-driven solutions to key stakeholders.

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

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

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

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

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

  • 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.

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

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

  • Clean and manipulate raw data using statistical software.

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

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

Technologies & Software

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