“The IT labor market is still very hot. The candidate is very much in the driver’s seat,” Jason Hayman: Market Research Manager at TEKsystems.
Businesses need confidence in their decision making process. Today, this means turning to the factual and reliable information derived from data. With many organisations looking to stay ahead of the competitive curve with techniques like data science and deep learning, this leaves a big window of opportunity for those with these in-demand skills.
If you’re a job seeker looking to up your analytics game, you may want to consider developing these skills:
#1 – HARNESS THE POWER OF BI TOOLS
“Today, tools such as Tableau and Power BI are a must to obtain business information in the correct desired form. This includes setting up the data source, data cleaning mechanism and analysis algorithms.” – Rhucha Kulkarni: Associate Features Editor at ReadITQuik.
Business Intelligence (BI) tools are applications, programs and software used to locate, analyse and document data. It is used to simplify the flow of data, making it more manageable. Access to accurate information in the right place and right form is a must-have for businesses looking to make the most of data in a reliable and time-effective way.
#2 – CONVERT KNOWLEDGE INTO ACTION
“Companies are trying to make sense of what the data can tell them about how to do business better. That, in turn, is fueling demand for people who can make sense of the information.” – Yuki Noguchi: Correspondent at NPR.
The ability to understand and utilise data to drive success can make you a big asset to an organisation. It’s not just about monitoring data, it’s about developing a solution strategy with the insights you’ve generated. Learning how to best utilise BI software can help you achieve this.
“This technology provides companies with actionable insights and greater visibility into their customers’ buying habits and trends so that they can always stay one step ahead of the competition.” – Paul Black: Data Marketing Magazine.
#3 – STAY AHEAD OF THE COMPETITION WITH PREDICTIVE ANALYSIS
“Today’s business applications are raking in mountains of new customer, market, social listening, and real-time app, cloud, or product performance data. Predictive analytics is one way to leverage all of that information, gain tangible new insights, and stay ahead of the competition.” – Rob Marvin: Assistant Editor at PC Mag.
The ability to use existing data to identify future risks and opportunities is an essential skill in the field of Data Analytics. Many industries like marketing, finance and healthcare can benefit from the forecasts created by statistical modeling, machine learning and other technologies.
“These techniques can provide managers and executives with decision-making tools to influence upselling, sales and revenue forecasting, manufacturing optimization, and even new product development.” – Georgetown University.
#4 – ENHANCE YOUR PROBLEM-SOLVING SKILLS
“Businesses face complex problems every day, and they are forced to solve them quickly and efficiently. That’s where decision science comes in. This market needs proven methodologies and frameworks to follow in order to materially affect business outcomes.” – Tom Pohlmann: Chief Marketing Officer at AHEAD.
A large part of of identifying challenges, risks and opportunities when analysing Big Data comes from implementing the right tools and frameworks to generate these insights. However, human intuition is still an important quality.
“We know executives pay attention to what data and analytic tells them, that’s the science part of the equation. But we also know they rely heavily on the art of intuition.” – Dan DiFilippo – Consulting Clients and Markets Leader For China and Hong Kong at PwC.
Intuition is the ability to understand something instinctively, without the need for conscious reasoning. In the era of of big data however, being unable to explain your logic when you come to a decision is a risk. In a survey conducted by PwC, 59% of decision makers said the analysis they require relies primarily on human judgment rather than machine algorithms.
“Seizing the opportunity will require leaders who can weigh the power and influence of both artificial and human intelligence, finding a balanced path that makes the most of each unique capability.” – Hugo Moreno: Contributor at Forbes.
#5 – BE VERSATILE
“In an age of Big Data, having tech skills is important, but the pendulum might be starting to swing the other way. More companies are requiring a mix of technology and people skills.” – Stephanie Vozza: Writer at Fast Company
The ability to take on multiple roles can make you more valuable to a team, not to mention give you a competitive advantage.
“Competition for analytical talent is extreme. And preserving and maintaining a base of talent within an organisation is difficult, particularly if you view this as a core competency.” – Ruben Sigala: Chief Analytics Officer at Caesars Entertainment.
In the field of data analytics, the combination of both hard skills (technical) and soft skills
(communication) is crucial to your success.
“Many who are working in the field today have more than one role in their job. They may act as researchers, who mine company data for information. They may also be involved with business management. Around 40% work in this capacity. Others work in creative and development roles.” – Ronald van Loon: Director of Advertisement.
“The right talent will go find the right technologies; the right talent will go solve the problems out there.” – Victor Nilson: Senior Vice President of Big Data at AT&T.
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