Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
    data analytics for trademark registration
    Optimizing Trademark Registration with Data Analytics
    6 Min Read
    data analytics for finding zip codes
    Unlocking Zip Code Insights with Data Analytics
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: A Guide to Career Success for Aspiring Big Data Analysts
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > A Guide to Career Success for Aspiring Big Data Analysts
Analytics

A Guide to Career Success for Aspiring Big Data Analysts

agentimis
agentimis
5 Min Read
SHARE

Due to the big data industry’s widening skills gap, the demand for stronger analytical talent is increasing substantially every year. The influx of big data, thanks to the Internet of Things (IoT) and mobile technology, largely exceeds the number of analysts available to extract meaningful insights from it.

Due to the big data industry’s widening skills gap, the demand for stronger analytical talent is increasing substantially every year. The influx of big data, thanks to the Internet of Things (IoT) and mobile technology, largely exceeds the number of analysts available to extract meaningful insights from it.

Global firm McKinsey predicts that by 2018, the U.S. “may face a 50 to 60 percent gap between supply and requisite demand of analytic talent.” Entry into this small talent pool of big data analysts requires skills that extend past technical capabilities. Aspiring big data analysts can place themselves on the path to career excellence by:

More Read

Google Now and Big Data
How To Automate Google Analytics Reporting
R for psychological research
Big Data Q&A for the Data Protection Law and Policy Newsletter
5 Ways Data Can Fuel Your Online Marketing Strategy

Finding Big Success With Big Data Degrees

Big data degree programs train the next generation of analysts to evaluate data more intelligently and improve operational procedures. Choosing the right big data analytics degree should be based heavily on individual learning styles and the tools, resources and hands-on experience available to the students.

Certain programs may offer a more diverse selection of big data tools and platforms—such as Hadoop, Oracle and Tableau—that will give students more real-world experience, boost resumes and improve efficiency before the job hunt even begins. Prospective students should also consider programs that partner or work closely with big data powerhouses, such as IBM, Accenture or SAS Institute.

Industry partnerships offer students opportunities for internships, potential job openings and guidance on how to use data to make better business decisions. Getting a degree in big data analytics puts college students on the fast-track to becoming a trusted voice in business strategy, in every industry from healthcare to government.

Harnessing the Right Data Analytics Skills

Sound statistical knowledge and proficiency in commonly used big data tools will always be required, but the applicants who truly stand out have much more than that. Communication skills, creativity, the ability to multi-task and having an inquisitive nature are all highly coveted skills of big data analysts that are not commonly listed in the job description.

The most successful big data analysts know what questions to ask to discover meaningful patterns and trends in data, and have a strong business acumen; they can sort through and analyze complicated datasets, then easily explain them to business leaders to identify problems, solutions and overlooked opportunities.

Keep analytical skills sharp by testing new tools and platforms, staying up-to-date with industry news, testing different hypotheses and embracing failure. There is very rarely a one-solution-fits-all situation, and today’s big data solutions are typically a mix of strategies and tactics.

Getting Involved in the Big Data Industry

Basic skills for big data analysts remain the same across all industries, but a deep comprehension of the field of interest will help with conducting the right analysis. Knowledge of the industry is especially helpful during the application and interviewing process, when questions about how you can apply your analytical skills to the specific company will likely come up.

For a more thorough understanding, interview other data analysts, business leaders and thought leaders in the industry. If any workshops, conferences or meet-ups are available, take advantage of them. The benefits of networking events are twofold: networking can be useful for finding data analyst job opportunities, or at the very least, you can walk away with helpful tips and insights from those who have been in your shoes. 

With the right talent, data analysis can be a gold mine; data can help discover missed business opportunities, predict customer behavior and be used to shape company direction. The job demand for big data analysts is sky-high across all industries, with competitive salaries to match. However, talent is lacking and positions are difficult to fill as a result. Aspiring big data analysts must understand the difference between recognizing patterns in data and using these patterns to find solutions—that’s what ultimately lands the job and paves the path to success.

TAGGED:analystsbig datajobs
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

langgraph and genai
LangGraph Orchestrator Agents: Streamlining AI Workflow Automation
Artificial Intelligence Exclusive
ai fitness app
Will AI Replace Personal Trainers? A Data-Driven Look at the Future of Fitness Careers
Artificial Intelligence Big Data Exclusive
crypto marketing
How a Crypto Marketing Agency Can Use AI to Create Powerful Native Advertising Strategies
Blockchain Exclusive Marketing
data driven insights
How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

how big data can help create demo videos
Big DataExclusive

How Big Data Can Help Create Demo Videos That Make Their Mark

8 Min Read
analyzing big data for its quality and value
Big Data

Use this Strategic Approach to Maximize Your Data’s Value

6 Min Read

Why We Need to Deal with Big Data in R

3 Min Read
Smart Data
Best PracticesBig DataData ManagementData QualityDecision ManagementPredictive AnalyticsRisk ManagementSocial Data

Can Smart Data Ensure Cybersecurity and Data Protection?

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?