Data Analysis
These marketers specialize in making data-driven decisions. They aren’ t big fans of making decisions based on hunches. The ability to determine the key metrics that a brand needs to track, as well as collect and analyze them, are part of this indispensable skill set in an industry that makes changes and adjustments based on what the numbers indicate.
Many marketers shy away from data analysis because the numbers can be daunting; so much needs to be reviewed and understood. Analysts specialize in not only diving into the metrics but also knowing what questions to ask in order to interpret the information correctly. They create accurate reports that are easy for employers, stakeholders, and clients to understand. These days, just knowing where to look for numbers isn’ t enough; you need to know what they mean. Interpreting data correctly increases your company’ s ability to scale, gives detailed insights, and ensures that you’ re not relying on your“ best guess.”
Data analyst
Data analysts are responsible for aggregating and interpreting a variety of analytics for a company. They research new ways to collect data, analyze the information, and draw conclusions from the data. They identify new sources of data and develop or improve on methods of data collection, analysis, and reporting. Analysis usually involves identifying relationships and behavior patterns that can influence marketing decisions. They primarily work with data and reports generated by programs.
Data analysts are technically skilled with programs like Excel, Access, SharePoint, and SQL databases as well as company-specific data tools like CRMs, Google Analytics, e- commerce platforms, and more. Successful analysts have a keen eye for detail that can tie dips and peaks in metrics to specific events and initiatives of the company. A data analyst earns between $ 39,000 and $ 80,000 per year.
Data engineer
Data engineers( sometimes referred to as information engineers) specialize in collecting and analyzing raw data, with the added responsibility of constructing systems to track and display the data. They develop, construct, test, and maintain databases and data processing systems, in many cases applying their own algorithms and predictive models, and filtering information for their analysis. You’ ll find data engineers working with raw data to find actionable information and working to display that information in a format that is easy to understand.
Sound technical? That’ s because it is! Data engineers often collaborate with their company’ s IT team, but skills in scripting languages, creating custom software, and adapting to new technologies are highly desirable attributes for this position. A strong sense of order also serves the data engineer well; data engineers often work with