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Analytics consultant vs data scientist

The differences between analytics consultants and data scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both an analytics consultant and a data scientist. Additionally, a data scientist has an average salary of $106,104, which is higher than the $89,840 average annual salary of an analytics consultant.

The top three skills for an analytics consultant include data analytics, visualization and SAS. The most important skills for a data scientist are python, data science, and visualization.

Analytics consultant vs data scientist overview

Analytics ConsultantData Scientist
Yearly salary$89,840$106,104
Hourly rate$43.19$51.01
Growth rate11%16%
Number of jobs89,026106,973
Job satisfaction--
Most common degreeBachelor's Degree, 66%Bachelor's Degree, 51%
Average age4441
Years of experience44

What does an analytics consultant do?

An analytics consultant is an individual who develops new and innovative analytical solutions that meet the requirements of clients and businesses. Analytics consultants must understand the organization's business strategy by creating analytical solutions and providing analysis on the effectiveness of its marketing campaigns. They must respond to the request of market intelligence executives and provide attractive business solutions. Analytics consultants must also guide properly the industry analysts regarding market share information as well as competition in the local market.

What does a data scientist do?

A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.

Analytics consultant vs data scientist salary

Analytics consultants and data scientists have different pay scales, as shown below.

Analytics ConsultantData Scientist
Average salary$89,840$106,104
Salary rangeBetween $68,000 And $118,000Between $75,000 And $148,000
Highest paying CitySan Rafael, CARichmond, CA
Highest paying stateCaliforniaCalifornia
Best paying companyCornerstone ResearchThe Citadel
Best paying industryProfessionalStart-up

Differences between analytics consultant and data scientist education

There are a few differences between an analytics consultant and a data scientist in terms of educational background:

Analytics ConsultantData Scientist
Most common degreeBachelor's Degree, 66%Bachelor's Degree, 51%
Most common majorBusinessComputer Science
Most common collegeNorthwestern UniversityColumbia University in the City of New York

Analytics consultant vs data scientist demographics

Here are the differences between analytics consultants' and data scientists' demographics:

Analytics ConsultantData Scientist
Average age4441
Gender ratioMale, 65.1% Female, 34.9%Male, 79.6% Female, 20.4%
Race ratioBlack or African American, 7.6% Unknown, 4.5% Hispanic or Latino, 8.6% Asian, 14.7% White, 64.5% American Indian and Alaska Native, 0.2%Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6%
LGBT Percentage12%9%

Differences between analytics consultant and data scientist duties and responsibilities

Analytics consultant example responsibilities.

  • Develop tools in excel (VBA macros) to automate frequently used processes.
  • Manage paid search, SEO & PPC campaigns across multiple engines and ensure program specific ROI goals are being meet.
  • Lead design effort to document system component diagrams across various domains for a new product implementation within a non-profit healthcare company.
  • Lead PeopleSoft ERP implementations for professional service companies.
  • Manage business intelligence and analytics projects and new initiatives for various business units/divisions at AHM; e.g.
  • Manage technical infrastructure, application development, and other capital improvement projects for early stage Internet start-ups and non-profit organizations.
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Data scientist example responsibilities.

  • Update, maintain, and manage regional CRM database and records for customers, vendors, and suppliers.
  • Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
  • Lead the analysis in SAS for data integration of mortality data using meta-analysis integration methods.
  • Implement a proximal stochastic gradient descent with a line search to fit a regularize logistic regression in Scala
  • Perform cross-validation-test on linear regression model of data using scikit-learn.
  • Develop python base statistical visualization to provide insights of fuzzy social media data.
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Analytics consultant vs data scientist skills

Common analytics consultant skills
  • Data Analytics, 8%
  • Visualization, 7%
  • SAS, 7%
  • Python, 6%
  • Data Analysis, 5%
  • Econometrics, 5%
Common data scientist skills
  • Python, 13%
  • Data Science, 10%
  • Visualization, 5%
  • Java, 4%
  • Hadoop, 4%
  • Tableau, 3%

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