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Automation Risk Analysis

Will “Data Analytics Manager” be Automated?

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AI Exposure Risk

43%

“Data Analytics Manager” 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 Analytics Manager” 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

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

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

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

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

  • Recommend data-driven solutions to key stakeholders.

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

  • Clean and manipulate raw data using statistical software.

  • 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.

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

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

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

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

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

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

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

Technologies & Software

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