Welcome to the Data Analytics Career Community!

Here you will find career-related information such as blogs, jobs, resources, courses, and events specific to Data Analytics topics to help you embrace your career and academic journey.

Start Here: What Can I Do With My Degree?

A data analytics degree qualifies you for a variety of roles that translate raw data into actionable business strategies. Common career paths include Data Analyst, Business Intelligence (BI) Analyst, Financial Analyst, and Market Research Analyst. Graduates also frequently transition into Data Engineering or Data Science roles after gaining hands-on experience.

Careers That Speak Data: Explore Career Paths

Business Intelligence & Reporting

  • Business Intelligence Analyst
  • Data Analyst
  • Analytics Engineer

Corporate Strategy & Operations

  • Business Analyst
  • Operations Analyst
  • Management Analyst

Financial & Risk Analytics

  • Finance Analyst
  • Risk Analyst
  • Quantitative Analyst

Marketing & Product Analytics

  • Market Research Analyst
  • Product Analyst
  • Digital Marketing Analyst

Healthcare & Clinical Analytics

  • Healthcare Data Analyst
  • Clinical Data Analyst/Manager
  • Healthcare Operations Analyst

Your Data Analytics Toolkit: Skills & Knowledge

You can add these skills to your future application materials!

  • Gain technical abilities and professional skills to help organizations leverage data to innovate practices and processes and inform decision-making
  • Learn aspects of data science including data management and security, project management workflow, and business analytics
  • Understanding of the various areas of data analysis as well as the industries in which it is used, and explore the types of professional roles that exist in the world of data
  • Learn methods for diagnosing organizational problems in order to determine the data requirements to solve them
  • Identify contemporary systems and technologies impacting the field of data analytics, including the cloud, AI, and machine learning
  • Knowledge of data visualization tools and techniques that help data analysts communicate the results of their work in ways that make those results actionable

You can add these skills to your future application materials!

  • Interpret business questions through a data lens
  • Collecting and cleaning data
  • Data visualization
  • Communicating analytical results and recommendations to technical and non-technical audiences
  • Python, SQL, Tableau, SAS and R
  • Quantitative/qualitative data analytics methods
  • Data analytics standards and policies
  • Digital portfolio creation
  • Real-world problem-solving skills and critical thinking skills

You can add these skills to your future application materials!

  • Translate organizational needs and business problems into data analytics requirements to inform possible solutions and communicate them to technical and non-technical audiences
  • Apply appropriate data analytics solutions, standards, and policies to meet the security, quality, storage, and privacy needs of organizations
  • Collaborate in multi-functional teams on short and long term projects, providing the data analysis that helps inform decisions
  • Gather, clean, interpret, and visualize data using industry tools and techniques most appropriate to the situation
  • Use quantitative and qualitative data analytics methods in responding to a variety of situations that arise in the business environment

Finding Your Niche In Data: Specific Career Resources Worth Exploring

Career Resources

Transitioning to a career in data analytics can mean stable employment in a high-paying industry once you have the right …

Learn how to become a data analyst and discover everything you need to know about launching your career, including the …

LinkedIn Learning

SNHU’s partnership with LinkedIn Learning offers free non-credit bearing continuing education & professional development courses to individuals already in SNHU’s community that can help you skill-up and gain experience! To gain skills and experience through LinkedIn Learning courses, you can search for project-based courses that align with your career goals and take courses on relevant technologies, soft or hard skills, or industry-specific topics. View our dedicated page for more information!

Descriptive Healthcare Analytics in R

Taught by Monika Wahi
Analyze behavior and risk using R, the open-source statistical computing software. R provides an environment and a language you can…

Mathematics for Computing by KodeKloud

Taught by KodeKloud
Demystify the math behind the digital world. Build a foundation in linear algebra by learning how to work with vectors,…

Oracle Database 12c: Advanced SQL

Taught by David Yahalom
Mastering SQL is an essential skill for any Oracle professional—and the first step in becoming a true Oracle expert. In…

SQL for Statistics Essential Training

Taught by Dan Sullivan
Descriptive statistics help us understand the overall structure of data, and SQL is the most widely used language for manipulating…

JavaScript: Prototypes

Taught by Sasha Vodnik
The JavaScript approach to object-oriented programming feels alien to many developers. While prototypes are core tools for intermediate and advanced…

JavaScript: Closures

Taught by Sasha Vodnik
Suggested prerequisites Familiarity with JavaScript programming Closures—a core concept for intermediate and advanced JavaScript developers—can be challenging for many developers…

Economic Indicators

Taught by Jason Schenker
You may not know it, but economic indicators impact your life in a big way. They impact your job, they…

Oracle Database 12c: Basic SQL

Taught by David Yahalom
Mastering the SQL language is an essential skill for any Oracle professional and is the first step in becoming a…

SAS Essential Training: 2 Regression Analysis for Healthcare Research

Taught by Monika Wahi
SAS is a venerable data analytics platform that boasts millions of users worldwide and a slew of useful features. In…

Data Visualization: A Lesson and Listen Series

Taught by Bill Shander
Follow along with expert Bill Shander in this series exploring key themes in data visualization, data storytelling, and information design.…

Tableau 10: Mastering Calculations

Taught by Curt Frye
Tableau 10—the popular analytics and visualization tool—provides you with the ability to create powerful calculations. In this course, learn how…

Learning Everyday Math

Taught by Vince Kotchian
This course explains essential math concepts in clear language, using real-world problems that will help learners of all levels feel…

Computer Science Principles: Programming

Taught by Rich Winnie
Programming is what allows us to make computers, devices, and the Internet perform amazing tasks, entertain us, and simplify our…

Computer Science Principles Lab: JavaScript

Taught by Rich Winnie
Take coding from theory to practice with our Computer Science Principles Labs. This hands-on lab gives you a chance to…

Tableau 10 Essential Training

Taught by Curt Frye
Tableau is the widely used data analytics and visualization tool that many consider indispensable for data-science-related work. Its drag-and-drop interface…

Open Data: Unleashing Hidden Value

Taught by Jonathan Reichental
Governments around the world are discovering the value and responsibility in making the data they collect and store easily available…

Computer Science Principles: The Internet

Taught by Rich Winnie
Computers can do a lot. But it’s the Internet that makes them come alive, allowing users to communicate and share…

Excel 2016: Managing and Analyzing Data

Taught by Dennis Taylor
Large amounts of data can become unmanageable fast. But with the data management and analysis features in Excel 2016, you…

Excel 2016: Data Validation in Depth

Taught by Dennis Taylor
With Excel’s data validation tools, you can control how users enter data into workbooks, ensuring that data is consistent and…

Tableau 10 for Data Scientists

Taught by Matt Francis
Tableau is designed for data science! Move beyond the basics and delve deeper into the power of this data visualization…

Vault Guides

The digital world is a dangerous place. Cybercriminals seek to steal financial information and money; damage or destroy data, or …

The Vault Guides to Jobs series provides essential information about key careers and industries, with an emphasis on preparing for …

The 2025 Vault Guide to the Top 50 Consulting Firms is the definitive guide to the best consulting firms to …

Gain Experience

Do you need to gain relevant work experience? Here you will find a variety of opportunities to gain real work experience, in a virtual setting – right from home! You can participate in studies abroad, SNHU experiential learning programs, or participate in virtual job simulations through our partner, Forage. These simulations are real case studies submitted by corporations across the country, and they are 100% free, open access, and self-paced. Company representatives will offer you feedback on your project.

You will find experiential learning opportunities for every major of study. Simply click ‘view all experiences’ and search for one that supports your career goals. With these experiences, you will be able to speak to the work you did within the simulations or other experiences in an interview, on your LinkedIn profile, and on your cover letter.

Career Service Hours

Monday 8:00 am- 8:00 pm ET
Tuesday 8:00 am- 8:00 pm ET
Wednesday 8:00 am- 8:00 pm ET
Thursday 8:00 am- 8:00 pm ET
Friday 8:00 am- 7:30 pm ET