Business product analyst: focuses on analyzing the attributes and characteristics of a product as well as responsibility for advising management on the optimal pricing of a product based on market factors.Credit analytics: the credit market offers a wide need for analytics and information science in the areas of credit reporting, credit monitoring, lending risk, lending approvals, and lending analysis.Fraud analytics: monitors and analyzes fraud data.Web analytics: analyzes a dashboard of analytics around a specific page, topic focus, or website comprehensively.Sales analytics: focuses on sales data that helps to support, improve, or optimize the sales process.Actuary: analyzes mortality, accident, sickness, disability, and retirement rates to create probability tables, risk forecasting, and liability planning for insurance companies.Insurance underwriting analyst: analyzes individual, company, and industry data for decisions on insurance plans.Budget analyst: focuses on the analysis and reporting of a specified budget.Compensation and benefits analyst: usually part of a human resources department that analyzes employee compensation and benefits data.This role may also be focused on mergers and acquisitions. Corporate strategy analyst: this type of role will focus on analyzing company-wide data and advising management on strategic direction.Management reporting: reports data analytics to management on business functions.Business analyst: analyzes business-specific data.To do so, they employ many of the top data analysts for a variety of purposes including advertising and internal analysis along with a great deal of user analysis. Big tech companies such as Meta (formerly Facebook) and Google analyze big data to a dizzying degree. You can also find them at large insurance companies, credit bureaus, technology firms, and in almost any industry you can think of. In general, data analysts are everywhere. They also work in the healthcare industry, marketing, and retail. Data analysts work on Wall Street at big investment banks, hedge funds, and private equity firms. The career path you take as a data analyst depends in large part on your employer. Big data and machine learning are among the cutting-edge applications of data analysis.ĭata analysts take mountains of data and probe it to spot trends, make forecasts, and extract information to help their employers make better-informed business decisions.In addition to knowing your way around computers, data analysts must also be well-versed in statistical methods and models.The role of the data analyst has become increasingly important during the internet age, with employment opportunities in industries ranging from finance to marketing to social media.
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