Planning and Analysis Careers | Data Analyst (Marketing)

Data Analyst (Marketing)

Career Area: Planning and Analysis

Occupation Group: Data Analysis and Mathematics

Salary

Percentile wages tell how much a certain percentage of an overall population in a geographic area or within a given industry or field makes. The percentile wage estimate is the value of a wage below which a certain percent of workers fall.

An example would be the 25th percentile, 25 percent of workers employed in that occupation earn less and 75 percent earn more than the estimated wage value. At the 75th percentile, 75 percent of workers employed in that occupation earn less and 25 percent earn more than the estimated wage value.

A typical Data Analyst (Marketing) earns the following wages (national and state):

State

The average salary in North Carolina for those pursuing this career is $82,120

*The salaries depicted here are representative of the range of salaries posted in job listings over the past year. Living wage in North Carolina is $30,000.

National

The average salary in the United States for those pursuing this career is $82,548

*The salaries depicted here are representative of the range of salaries posted in job listings over the past year. Living wage in North Carolina is $30,000.

What Does a Professional in this Career Do?

Responsible for quantitative and qualitative market analysis. Identify key market statistics, interpret findings, enable marketing managers to understand the numbers behind marketing strategies.

Employment Trends

The job demand and job growth statistics shown here were derived from job posts over the past year. Expected job growth projections are extrapolated from year-over-year job post listing history.

Job demand and job growth is expected at the following rates:

LocationGrowth
North Carolina251+11.4%
Nationwide6932+9.3%

Skills

A professional in this position typically utilizes the following skills in the course of everyday work in this exciting and challenging field:

Baseline Skills

The following are baseline skills every Data Analyst (Marketing) is expected to have in order to experience success in this field:

  • Microsoft Excel: Microsoft Excel is a spreadsheet developed by Microsoft for Windows, macOS, Android and iOS. It features calculation, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications.
  • Communication Skills: The ability to convey information to another effectively and efficiently.
  • Teamwork / Collaboration: Experience working in collaborative efforts with a team to achieve a common goal or to complete a task in the most effective and efficient way.
  • Research: Experience performing creative and systematic work to understand a product, market, or customer, either before building a new solution, or to troubleshoot an existing issue
  • Problem Solving: Problem solving consists of using generic or ad hoc methods, in an orderly manner, for finding solutions to problems.

Specialized Skills

These skills are specific to working in this career:

  • Data Analysis: Data analysis, also known as analysis of data or data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.
  • SQL: SQL ( ESS-kew-EL or SEE-kwl, Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
  • Salesforce: Salesforce provides companies with an interface for case management and task management, and a system for automatically routing and escalating important events.
  • Tableau: Tableau Software ( tab-LOH) is a software company headquartered in Seattle, Washington, United States which produces interactive data visualization products focused on business intelligence.
  • Python: Python is a widely used high-level programming language for general-purpose programming, created by Guido van Rossum and first released in 1991.

Distinguishing Skills

Any Data Analyst (Marketing) that possesses the following skills will stand out against the competition:

  • Marketing Analytics: Marketing analytics is the practice of measuring, managing and analyzing marketing performance to maximize its effectiveness and optimize return on investment (ROI).
  • R: Ris anopen sourceprogramming languageand software environment forstatistical computingand graphics that is supported by the R Foundation for Statistical Computing.
  • Data Structures: In computer science, a data structure is a particular way of organizing data in a computer so that it can be used efficiently.
  • Apache Hadoop: Apache Hadoop ( ) is an open-source software framework used for distributed storage and processing of dataset of big data using the MapReduce programming model.
  • Big Data: Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them.

Salary Boosting Skills

A professional who wishes to excel in this career path may consider developing the following highly valued skills:

  • Data Engineering: Working experience of Data Engineering, which includes gathering and collectiong of data, storing it, batch processing or real-time processing of data, and setting up access via e.g. an API.

Experience

This position typically requires the following level of experience. The numbers presented in the pie charts below were derived from actual job posts over the past year. Not all job postings list experience requirements.

Experience Required%
0 to 2 years25%
3 to 5 years60%
6 to 8 years10%

Many of the programs offered through NC State are designed for working professionals who need additional credentials to enhance existing work experience.

Students who do not have the expected level of experience may wish to look into internship and employment opportunities.

Common Job Titles

It is possible to find work in this field in positions commonly listed as the following job titles:

  • Data Analyst
  • Advanced Analytics Consultant
  • Senior Data Analyst
  • Outside Sales Consultant Business Performance Advisor
  • Advanced Analytics Consultant Qm Analytics Ps38555

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