5 Ways To Ace Your Business Intelligence Interview – Part 1

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5 Simple Ways To Ace Your Next Business Intelligence Interview – Part 1

Are you truly prepared to ace your next business intelligence interview? In the age of automation, business information and intelligence, if utilized strategically, have the power to propel a business far above its competitors as well as exponentially boost brand awareness and profitability. This makes business intelligence roles extremely valuable to corporations. 

The BI and analytics industry is expected to soar to a value of $26.50 billion by the end of 2021. Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions.  In this 5 part mini-blog series, we will show you 5 simple ways you can ace your next business intelligence interview!

According to Forbes, “dashboards, reporting, end-user self-service, advanced visualization, and data warehousing are the top five most important technologies and initiatives strategic to BI in 2018.” How do your skills line up with these initiatives? Are you ready to succeed in your next business intelligence interview?

 

It’s important to remember that acing your next business intelligence interview isn’t just about being technically competent or having the best work samples to show off; it’s also about how you portray yourself in the first 5 minutes. Your interviewer is looking to see how you’ll fit into the organization and how well your experience and skill set can help you solve problems.  

So, during your next business analyst interview remember the following tips:

  • Entry to the room – Ask for permission to enter the room and walk up to the interviewer confidently.
  • Handshake – Ensure you have a firm handshake.
  • Eye contact – Look right into the eyes of the interviewer while speaking as well as listening.
  • Body language – Rest your hands on your thighs, maintain an upright posture, and make sure you are not fidgeting.
  • Introductory pitch – While introducing yourself, don’t go on to ramble about your complete work history (the interviewer can read that off your resume), instead, concentrate on highlighting your broad and diverse skill set, accolades, along the quality of your work experience.

More Quick Tips to Help You Ace the First 5 Minutes of Your BI Interview  

  • Assume that your resume has already been read.
  • Be confident but not cocky.
  • Be focused and clear.
  • Keep your answers on point and don’t tell overly long stories. 

Being prepared in the first 5 minutes is extremely important, but more than this, it’s also knowing what NOT to do. Forbes put together a list of seven job interview mistakes you probably don’t realize you’re making. These mistakes include wanting any job and not the one you’re interviewing for, putting yourself first, and even basic hygiene errors such as looking tired or not dressing for success.  Colaberry’s online data analytics courses will help you to perfect the first 5 minutes of your interview with our revolutionary learning platform, Refactored.ai. 

Acing your next business intelligence interview isn’t just about connecting with the interviewer and sailing through the first 5 minutes. It’s also about being prepared so that you can build a rapport and present yourself and your ideas in a way that shows you’re ready to assume the responsibilities of the role you’re interviewing for. 

Stay tuned for the next mini-blog in this series. We will be releasing a short blog twice a week to help you ace your next business intelligence interview! 

Our Program 

Colaberry has been providing one-of-a-kind, career-oriented training in data analytics and data science since 2012. We offer instructor-led onsite and online classes. Learn with us in person on our campus in Plano, Texas, or remotely from the comfort of your home. We have helped over 5,000 people to transform their lives with our immersive boot camp-style programs.

In-Demand Skills

Colaberry training programs equip you with in-demand tech and human skills.  Our up-to-date lessons and carefully crafted curriculum set you up for success from day one. Throughout the training and the job search, our mentors will support and guide you as you transition into a fast-paced and exciting field of data analytics and data science. 

Project-Based Learning

Our programs integrate projects that are based on real-world scenarios to help you master a new concept, tool, or skill. We work with you to build your portfolio to showcase your skills and achievements. 

Award Winning Learning Platform

You will be learning using our homegrown technology platform Refactored AI which is recognized as the “Most Promising Work of the Future Solution” in global competition by MIT SOLVE. Our platform also received General Motors’ “Advanced Technology” prize and McGovern Foundation’s “Artificial Intelligence for Betterment of Humanity” prize. 

Placement Assistance

Colaberry’s program, platform, and ecosystem empower you with skills that you need to succeed in your job interviews and transition into high-paying careers. Over 1/3rd of Colaberry graduates receive job offers after their first in-person interview. We provide you continuous mentoring and guidance until you land your job, and provide you post-placement support for twelve months so that you not only survive but thrive in your career. 

Financial Aid

At Colaberry, we strive to create opportunities for all. We work with each individual to ensure the cost of the training does not hold them back from becoming future-ready. We offer various payment plans, payment options, and scholarships to work with the financial circumstances of our learners. 

Military Scholarship

Colaberry is committed to supporting men and women who have served our country in uniform. As part of this commitment, we offer Military Scholarships to enable active-duty and retired military members to transition into civilian life. We have already helped numerous veterans by creating a pathway to rewarding and exciting careers in data science and data analytics. We hold alumni events and provide an extensive support system and a strong community of veterans to help our students succeed. Contact our enrollment team to find out more about how we can help you. 

How To Thrive In The Future of Work With AI

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Discover how AI is transforming various industries in the future of work and how Colaberry is paving the way with its innovative solutions. Read our blog for insights.

Rapid technological innovations have been disrupting job markets since the First Industrial Revolution. The Fourth Industrial Revolution has accelerated the pace to unprecedented speed. Anticipating the trajectory of the changes and preparing for the workplace of tomorrow in the age of AI has become one of the most pressing global issues of our time. In 2016, the National Science Foundation (NSF) unveiled ten “Big Ideas” — ten distinct areas that would guide their research and investment strategy to position the United States as the global leader in science and engineering. The Future of Work at the Human-Technology Frontier was pronounced as one of them.

Continue reading “How To Thrive In The Future of Work With AI”

Colaberry Launches Digital Credentials For Learners with Credly

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Colaberry, an in-demand skills training and career transition provider, announced the launch of a new initiative to offer their learners a secure, portable, and trusted means to share and communicate their validated skills online through professional and social networks. Partnering with Credly, the digital credentials leader, Colaberry graduates will earn digital credentials that represent a range of technical and human skills gained by completing their data analytics and data science programs.

“Colaberry’s digital credentials give our graduates an effective tool to signify to prospective employers that they are prepared to begin delivering immediately on in-demand skills,” said Ram Katamaraja, Founder and CEO of Colaberry. “Together, we are bringing transparency to candidates’ capabilities that make it easier for employers to discover technology talent with the skills they need in today’s tight labor market.”

Through this new partnership, Colaberry graduates will receive digital credentials hosted on Credly’s Acclaim platform. Credential holders can use this verified record of their specific skills and knowledge to differentiate themselves from other professionals in their fields. Employers can, in turn, identify holders of in-demand credentials who have verified skills and expertise. This additional layer of recognition allows employers to better understand what applicants know and can do.

“The tech skills Colaberry develops— from data analysis to machine learning — are among the most in-demand skills today,” said Jonathan Finkelstein, CEO of Credly. “By providing digital credentials to its graduates, Colaberry is demonstrating to employers the skills their student has learned, in a way that can be quickly validated.”

About Colaberry

Colaberry has been providing one-of-a-kind, career-oriented training in data analytics and data science since 2012. Our training offerings include self-paced, instructor-led onsite, and instructor-led online classes. We have helped over 5,000 people to transform their lives with our immersive boot camp-style programs.

About Credly 

Credly is helping the world speak a common language about people’s knowledge, skills, and abilities. Thousands of employers, training organizations, associations, certification programs, and workforce development initiatives use Credly to help individuals translate their learning experiences into professional opportunities using trusted, portable, digital credentials. Credly empowers organizations to attract, engage, develop, and retain talent with enterprise-class tools that generate data-driven insights to address skills gaps and highlight opportunities through an unmatched global network of credential issuers.

For more information contact: 

Ram Katamaraja

CEO and Co-founder of Colaberry

(617) 444-9689

or

[email protected].

Colaberry Attends The Women in Data Science Conference

Colaberry Attends The Women in Data Science Conference

This weekend, Vivian Rebrin was able to attend the second annual Women in Data Science Conference in St. Louis. The event took place in Washington University’s Emerson Auditorium. My colleague David Freni and I met some data scientists who work with our client Bayer Crop Science. We were able to listen to several women working in the industry, as well as Washington University’s Professor Liberty, describe the dangers of manipulating data for self-interest and the importance of asking the right questions. The main subject that stuck out to me was the manipulation of data. The two main brands that were affected by this in her examples were Starbucks and Uber. Each of these had their data distorted to sabotage their reputations. Her conclusion for the women in data science and entering it was to always ask these four questions when looking for results. Who was asked? What was asked? How was it interpreted? Why do we care? In the world of science, it is important to maintain humanism.

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Data Science Explained

Data Science

Data Science, also known as data-driven science, is an interdisciplinary field of scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.

Data Science is a “concept to unify statistics, data analysis, and their related methods” to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the subdomains of machine learning, classification, cluster analysis, data mining, databases, and visualization.

data science

An Explosion of Data

Data is increasingly cheap and ubiquitous. We are now digitizing analog content that was created over centuries and collecting myriad new types of data from web logs, mobile devices, sensors, instruments, and transactions. IBM estimates that 90 percent of the data in the world today has been created in the past two years.

At the same time, new technologies are emerging to organize and make sense of this avalanche of data. We can now identify patterns and regularities in data of all sorts that allow us to advance scholarship, improve the human condition, and create commercial and social value. The rise of “big data” has the potential to deepen our understanding of phenomena ranging from physical and biological systems to human social and economic behavior

A Challenge Identified

Virtually every sector of the economy now has access to more data than would have been imaginable even a decade ago. Businesses today are accumulating new data at a rate that exceeds their capacity to extract value from it. The question facing every organization that wants to attract a community is how to use data effectively — not just their data, but all of the data that are available and relevant.

Our ability to derive social and economic value from the newly available data is limited by the lack of expertise. Working with this data requires distinctive new skills and tools. The corpora are often too voluminous to fit on a single computer, to manipulate with traditional databases or statistical tools, or to represent using standard graphics software. The data is also more heterogeneous than the highly curated data of the past. Digitized text, audio, and visual content, like sensor and blog data, is typically messy, incomplete, and unstructured; it is often of uncertain provenance and quality; and frequently must be combined with other data to be useful. Working with user-generated data sets also raises challenging issues of privacy, security, and ethics.