Data Scientistĭata scientists design and construct new processes for modeling, data mining, and production.
These professionals often respond to management’s requests for specific information, but might also be expected to scrutinize data independently to find patterns and trends.īusiness intelligence analysts should have a strong background in analytical and reporting tools, several years of experience with database queries and stored procedure writing, as well as online analytical processing (OLAP) and data cube technology skills.
Business Intelligence Analystīusiness intelligence analysts turn companies’ data into insights that executives can use to make better business decisions. These professionals work closely with database developers and often provide guidance and training to lower-level staff. They are also responsible for the storage and analysis of data within their organizations. Database Managerĭatabase managers identify problems that occur in databases, take corrective action to remedy those issues, and assist with the design and physical implementation of storage hardware and maintenance. They often research attempted breaches of data security and formulate security policies and procedures to rectify security weaknesses. Data Security Analystĭata security analysts perform security audits, risk assessments, and analysis to help make recommendations for enhancing data systems security. Data architects develop strategies for each subject area of the enterprise data model and communicate plans, status, and issues to their company’s executives. These professionals are tasked with designing the structure of complex data frameworks, as well as building and maintaining these databases.
These professionals are also often responsible for creating and maintaining the company’s software and hardware architecture, including the systems and processes users need to work with that data. Big Data Engineerīig data engineers are similar to data analysts in that they turn large volumes of data into insights that organizations can use to make smarter business decisions, but they’re also tasked with retrieving, interpreting, analyzing, and reporting on a business’s data-which they typically have to gather from a variety of different sources. The salary ranges below represent starting salaries in the 25th to 75th percentiles.) Top 10 Big Data Careers 1. ( All salary data is sourced from Robert Half’s 2022 Salary Guide. Here are ten of the top careers within big data for employers and job seekers alike. With these insights, managers are able to make data-driven decisions and solve key business problems. Organizations mine unstructured and structured data, leveraging machine learning and predictive modeling techniques to extract meaningful insights from the information.
īut which big data careers pay the highest? Here’s a look at the most coveted positions and their salaries, and the skills you’ll need to land them.ĭownload Our Free Guide to Breaking Into AnalyticsĪ guide to what you need to know, from the industry’s most popular positions to today’s sought-after data skills.īig data is a field that deals with massive data sets that are too complex to manage using traditional data management methods. Eighty-one percent of all data science and analytics job postings seek workers with at least three years of prior work experience, and 39 percent of these roles-the highest-paying ones, in particular-require a relevant master’s degree. In a fast-growing field, that’s not easy to find. Ī majority of these jobs require candidates with both experience and advanced degrees. Many of these jobs report compensation well into the six-figure range and above market pay in order to compete in the talent war, according to research from IT jobs site Robert Half Technology (RHT). Salaries for big data careers are increasing just as quickly as the demand for skilled professionals. However, professionals with these specialized skills are difficult to find, meaning data jobs pay quite well for those with the right expertise. Increasingly, top companies are in need of qualified professionals to fill those emerging roles. Bureau of Labor Statistics (BLS) anticipates data-related occupations will grow by more than 31 percent by 2030, creating a plethora of new jobs in the same time period. Big data is transforming businesses and driving growth throughout the global economy.