These are a series of posts that can assist beginners who are eager to dive into the “data platform” or professionals who are considering a career in analytics. I’ll do my best to provide as much information as possible. Please see previous posts that discussed the most in-demand job roles by clicking here.
In this post, we will define “digital analyst,” what it takes to become one, and what digital analysts can expect to earn. Please keep in mind that in some companies, the job title and nature of work do not match; therefore, carefully review the job criteria. Please keep in mind that the average salary is based on hundreds of job postings and various web sources such as ZipRecruiter, PayScale, and so on. Salary is also determined by experience.
Digital Analyst:
Digital analysts are responsible for ensuring that critical information about their company’s digital assets is accurately reflected in reports, analyses, and dashboards. They frequently use customer relationship management (CRM) software and robust intelligence tools during their data analysis work.
You must have at least an associate’s degree in finance, logistics, mathematics, or statistics, as well as experience with a variety of analytics tools and software, to work as a digital analyst.
A Digital Analyst must be proficient in Google Analytics, Data Analytics, Tableau, Power BI, and Excel. Some employers expect a Digital Analyst to be fluent in R or Python, but this varies depending on the employer and position level.
Refer to the following job-responsibilities of a digital analyst:
- Using statistical or analytical tools such as R or Microsoft Excel, a digital analyst must identify, analyze, and interpret patterns and trends in complex data sets.
- Digital measurement and reporting tools such as Google DCM, Google Analytics, and Adobe, among others, should be familiar to a digital analyst.
- The primary goal is to transform massive amounts of data and numbers into meaningful and digestible stories that explain the “why” behind the “what.” This is a standard point for any type of analyst.
- A digital analyst may be required to create reports stating trends, patterns, and predictions using relevant data; the tools to be used are Power BI, SSRS, and so on.
- Communicate with internal and external clients to fully understand data content; and implement best practices for data collection and analysis using a variety of tools, with a focus on Google Analytics 360 and Firebase.
- A proactive review of existing digital platforms, processes, reporting, and analysis is expected of a digital analyst.
- A digital analyst is expected to develop and implement a digital strategy based on company objectives and guidelines, with pre-aligned KPIs in a few companies.
Although this is not an exhaustive list, and not all of them are required by a company, the bulk of job requirements are based on the above-mentioned list. Let’s have a look at the skills that a digital-analyst must possess in order to be considered for the aforesaid position.
Platform: Mostly Windows
Databases: SQL Products (MySQL, Oracle SQL*Plus, Microsoft SQL Server, PostgreSQL, Teradata, DB2, or Microsoft Access)
Analytical & Reporting Packages: Business Objects, SSRS, Power-BI, Tableau, Google Analytics, Data Analytics, Tableau, Power BI, and Excel
Statistical Tools: R & Microsoft Excel.
Salary Range: $66,000 – $140,000 (Per Year – US), 10,000 – 25,000 (Per Month – Dubai), 25,000-92,000 (Per Month – India)
Most companies do not require digital analysts to have all of the above skill sets because digital analysts only need to analyze the data that is being generated by online web-portals or digital platforms. Digital analysts must be familiar with Microsoft Excel in order to create charts, pivot tables, and reports. In a few companies, the digital analyst must not only perform analysis but also create reports using SSRS, Power-BI, Tableu, QlikView or other visualization tools. As a result, the requirements and skill set may differ from one company to the next.
Please keep reading the subsequent posts.
Subscribe to our mailing list to be notified of new articles.
Big Data and SQL 