In case you didn’t know, data science is the most sought-after job of the 21st century. There are so many reasons to consider becoming a data scientist or technician. This career choice is so popular because it doesn’t take long years of studying to get there.
You can start with a course, such as the business analytics course in Hyderabad, that fills you in on all the essential things and basics you need to start improving your knowledge. If you’re thinking about giving data science a try, the time has never better to start.
With all that in mind, let’s see what career paths you can pursue with a master’s in business analytics and big data.
Machine Learning Engineer – Average Salary: US$110,739
Artificial intelligence is running the world, so it’s only common sense that AI technologies are the job of the future. Machine learning is one of the essential AI technologies, right next to natural language processing.
As a machine learning engineer, you’ll be collaborating with other data scientists to create algorithms and build programs to deliver data-focused and driven services and products that essentially allow machines to think for themselves and make decisions.
The main goal is to provide consumers with an enhanced user experience and customer-centric service without human interference. Think about smart cities, homes, self-driving cars, etc.
Data Architect – Average Salary: US$116,710
While this one requires a bit more programming knowledge, it is quite an exciting career path that can be a valuable introduction to the new job positions to come. The role is highly technical in nature and involves making sure data is accessible, accurate, and up-to-date to provide companies with a particular advantage.
A data architect must wield extensive programming skills and knowledge, and tools to design and create secure and reliable data frameworks capable of managing huge electronic networks and databases on a corporate level.
Statistician – Average Salary: US$73,054
As a data statistician, you’re required to gather, evaluate, assess, and analyze quantitative information and data compiled from various experiments and surveys.
More importantly, your primary role is to interpret large chunks of raw, unprocessed data to translate it into actionable knowledge. Statisticians help companies find practical solutions to problems and reach operational standards.
Data Analyst – Average Salary: US$60,208
Data analysts are very valuable in this data-driven business landscape of today. They are good with numbers, highly analytical, excellent problem-solvers, and quite inquisitive.
Since every organization generates data and collects it, every business needs a data analyst to get ahead of the transportation costs, market research techniques, logistics, sales figures, data analytics, business and marketing strategies, decision-making, and so on.
Chief Technology Officer (CTO) – Average Salary: US$159,149
Being a CTO requires knowing your way around executive-level positions. This career path demands an expert-level of various coding and programming languages, technological and data trends, and how to harness the power of the latest data analytics to implement that knowledge in building business strategies. A CTO is a master of conducting technical analysis and strategic thinking.
Chief Data Officer (CDO) – Average Salary: US$180,458
Mostly working in healthcare, finance, consulting, corporate IT departments, and banking, CDOs are highly sought-after today. Since 2018, the percentage of companies hiring CDOs is rapidly increasing, according to Forbes.
As a CDO, your responsibility is to generate business value from gathered data, turn data into a valuable asset, and strategically oversee all data that comes and goes in your company.
Application Architect – Average Salary: US$: 112,871
Application architects are in charge of solving user problems using relevant data insights and advanced analytics for interpreting user data.
They are also required to rebuild processes, services, and products by going through large chunks of data gathered from previous interactions with consumers.
They provide solutions and valuable insights into software maintenance, use, and development and wield advanced critical-thinking, problem-solving, and analytical skills.
Project Manager – Average Salary: US$73,901
Project managers heavily rely on data and data-driven business acumen to oversee all projects within one company. They are in charge of the budget and the planning process before one organization can start working on a particular project. Project managers mostly work in marketing and advertising, social media, IT, engineering, and construction sectors.
Market Research Analyst – Average Salary: US$63.120
This career path is for you if you want to work in manufacturing, consulting services, and finance and insurance. As a market research analyst, your responsibilities include compiling opinion polls, surveys, spreadsheets, and complex reports to collect valuable insights to evaluate market data.
The aim is to help your company to better market its services and products in a more consumer-centric way. You will be using the latest analytics tools to better analyze competitor and user data to understand their preferences, interests, needs, sales trends, spending habits, and more.
Business/Analytics Translator – Average Salary: US$53,552
Business and Analytics translators fill the gap between technology teams and business teams within one organization. Digital transformation brings many benefits for businesses, but it also leaves numerous companies with a few challenges.
Since becoming tech-savvy is quite a lengthy process, business and analytics translators help companies better understand the importance of data science while ensuring staying on the right course regarding objectives and values.
Data Scientist – Average Salary: US$88,779
Data scientists rely on their knowledge to use a wide range of statistical, machine learning, artificial intelligence, and natural language processing tools to mine raw, unprocessed, and complex data from multiple sources to turn it into actionable business information. Businesses rely on data scientists to improve their operations and create competitive and expansive business strategies.
As you can see, the world of data science offers countless possibilities. This industry is just getting started, so there will be many lucrative opportunities to develop your skills and build a career for yourself.
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