Data Analyst (Marketing) Career

Planning and Analysis

 
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 $77,481

*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 $76,604

*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:

Growth
North Carolina252+11.4%
Nationwide7564+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
  • Detail-Oriented: A detail oriented person is someone who pays attention to the details and can make a conscious effort to understand causes instead of just the effects, and that does this in a second nature type of way.

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:

  • Machine Learning: Machine learning is the subfield of computer science that, according to Arthur Samuel, gives computers the ability to learn without being explicitly programmed. Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term machine learning in 1959 while at IBM. Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions, through building a model from sample inputs.
  • Marketing Analytics: Marketing analytics is the practice of measuring, managing and analyzing marketing performance to maximize its effectiveness and optimize return on investment (ROI).
  • Data Modeling: Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques.
  • 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.
  • Web Analytics: Web analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage.

Education

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

.
Education Level%
Bachelor's Degree56%
Master's Degree35%
Doctoral Degree3%

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 years29%
3 to 5 years59%
6 to 8 years9%

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
  • Senior Data Analyst
  • Advanced Analytics Consultant-Ps25780
  • Advanced Analytics Consultant - Ps29226
  • Advanced Analytics Consultant - Remote

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