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Automation Risk Analysis

Will “Analytics Consultant” be Automated?

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AI Exposure Risk

43%

“Analytics Consultant” 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%

“Analytics Consultant” 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

  • Clean and manipulate raw data using statistical software.

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

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

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

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

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

  • Recommend data-driven solutions to key stakeholders.

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

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

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

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

  • 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.

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

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

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

Technologies & Software

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