Data has become an integral part of today’s business due to integrating technology in every operation and department. Even if someone is not part of a business, they must have heard about data and analytics. Data is everywhere, and you generate data with every online activity. Data represents the gold mine of information that you can use to gain a competitive advantage. Mastering the art of gathering, analyzing, and interpreting the data gives you boost sales and operate efficiently. Skilled analysts power business decisions using that data. Professionals having expertise in data analysis have a significant impact on business success. The rise of business data has opened doors to new opportunities and careers thanks to the influx of smartphones and other services.
Data analytics jobs are high in demand across industries ranging from healthcare to government, education, and marketing. However, finding the right match for the right career is not easy. The careers in this category require high skill and experience with advanced degrees. Skills in analytics include technical problem-solving thinking, creativity, communication, and teamwork.
Due to evolving business needs and evolution in market trends, careers in analytics have also increased in demand. Here we will share some of the most emerging career options for individuals with analytics degrees. The list includes:
1. Machine Learning Engineer
Machine learning engineer is a specialist role that is in-demand even in its infant stages. Machine learning engineers collaborate with the team of data sciences of an organization to develop programs and algorithms. These programs deliver a data-driven decision that helps machines take actions and enhance the user experience without any interference from humans. An example of machine learning engineers is the interface experts for self-driving cars or personalized news feeds. Undergraduates of mathematics, statistics, or physics usually are the ones who become machine-learning engineers that can specialize in masters or Ph.D. An average salary of machine learning engineer earn up to $110,739 and work in large tech companies that offer data-driven services.
2. Quantitative Analyst/Modeler
Another career choice is quantitative analyst or modeler. Quantitative analysts use data models that support investment decisions, leading to reliable outcomes. Online learning made it easy for individuals to opt for online masters analytics to get this job. Employers seek professionals who have an aptitude for scientific thinking rather than business analytics skills. Working with mathematical models and reasoning is in demand because it drives authentic results while avoiding the risks posed by human error. Students who pursue this career choose specializations in investments, income valuation and strategies, derivation, and equity valuation.
3. Application Architect
Application architects are the ones who track the activities of an application within a business and its interaction with users. These professionals also help in designing the architecture to build interface and structure for the best user experience. These professionals take computer and data sciences as majors and then advance towards master’s level.
4. E-Discovery Investigators
E-discovery investigation is one of the hottest career choices in analytics today. These professionals uncover, analyze and interpret the data collected from several connected devices. Their responsibilities might include examining phone logs or pick transmissions of any instant messenger. Usually, law enforcement agencies hire this professional to track the digital footprints of criminals or terrorists. Their expertise leads them to the scene of the crime and unlocks the mystery behind any heinous act. Their expertise differs from other investigators in the sense that their tracking relates to various digital devices only.
5. Big Data Engineers
Big data engineers are the ones who convert the amounts of data into valuable insights for designing helpful business strategies. Their role requires experts to collect and analyze the data obtained from market resources. They work only on the data obtained from sources related to an organization and its associated businesses. Big data engineers have to design pipelines to keep the data clean and its flow smooth. The growth potential of this career choice has outpaced data scientists. Organizations need an infrastructure for data processing to deliver insights on a scale. Big data engineers help them achieve just that.
6. Chief Technology Officers (CTO)
The executive-level career demands an individual to possess expert knowledge on various technological trends and their relation to data analysis. They have to integrate these trends in business strategies to give them an edge in the market. They are masters in strategic thinking and conduct analysis that ensures the organization’s standing among its competition. Essential skills in this role need leadership skills organizational management. They have to lead their team towards a single goal and ensure a positive experience and efficiency across all areas. Most big data and business analysis professionals reach this level in their careers.
7. Business Translators
Today, various businesses and organizations have turned their attention to advanced technologies such as Artificial intelligence and machine learning. They need effective business and technology teams to use that technology to its fullest. Business translators are the ones who analyze the data and bring both teams to the same page. Organization’s technical and business teams often remain at odds with each other, causing confusion and miscommunication. Business translators ensure that the focus of both teams remains on the objectives. They create awareness of technology within the organization to keep the data roadmap in the right direction.
Final Word
Data analysis has become an essential part of businesses today that needs professionals to fulfill. Experts in the field have provided their services in several areas of the principle and brought various organizations forward. The most beneficial factor of a career in data analytics is that it teaches innovations and opportunities to indulge in simulations. You can choose one of these principle areas of analytics and jump-start your career.