What You'll Do

  • Analyze, manipulate, or process large sets of data using statistical software.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
  • Clean and manipulate raw data using statistical software.
  • 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.
  • 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.
  • 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.

Career Fit Overview

Use this summary to sense whether the day to day rhythm and focus of this path line up with what energizes you.

Top passions

  • Analyst: Investigating problems and finding patterns keeps you engaged.
  • Organizer: Bringing order to data and processes satisfies you.
  • Artist: Creating original work and expressing ideas feels natural.

Want a personal read on fit. Take the free assessment and see your exact compatibility with this career and many related roles.

Technologies & Tools

Alteryx software Amazon Elastic Compute Cloud EC2 Amazon Redshift Amazon Simple Storage Service S3 Amazon Web Services AWS SageMaker Amazon Web Services AWS software Apache Airflow Apache Cassandra Apache Hadoop Apache Hive Apache Kafka Apache MXNet Apache Pig Apache Spark Atlassian Confluence Atlassian JIRA Bash BigQuery Business intelligence software C

How to Become One

Most employers require a bachelor's degree in a relevant field. Some positions may also require experience through internships, co-ops, or entry-level work to strengthen your candidacy.

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Also Known As

This career is known by many different job titles across industries. Here are all the variations:

Analytics Consultant Applied Scientist Data Analyst Data Analytic Scientist Data Analytics Manager Data Analytics Scientist Data Analytics Specialist Data Architect Data Consultant Data Economist Data Engineer Data Management Scientist Data Mining Analyst Data Modeler Data Quality Analyst Data Science Engineer Data Science Intern Data Scientist Data Specialist Data Visualization Developer Machine Learning Data Scientist Machine Learning Engineer Machine Learning Scientist Machine Learning Software Engineer Marketing Data Scientist Psychometric Consultant Quantitative Methodologist Quantitative Researcher Research Analyst Research Scientist Statistical Analyst Statistical Consultant Tableau Developer