Data Modeler Salary
Data Modelers in the United States take home approximately $86K annually on average. Career duration is the biggest factor affecting pay for this group, followed by geography. Medical benefits are awarded to most, and a strong majority earn dental coverage. Job satisfaction is high and work is enjoyable for most Data Modelers. Generally, women make up less than a third of all Data Modelers who answered the questionnnaire.
Job Description for Data Modeler
A data modeler is a specialize analyst who takes large chunks of data and attempts to pull useful information out of it. The modeler then uses this information to create detailed data reports for businesses and clients. These reports outline the findings and provide actionable analysis based upon macro and micro trends the modeler has discovered. A data modeler's job is part information science and part statistical analysis. The modeler must be sharp at both of these aspects of the position to succeed.Read More...
A data modeler will typically examine statistics related to measurable consumer or marketplace behaviors. This can be data that already exists, but more typically a company will use its data modelers to use or create computer systems that pull real-time data, as this information is usually more useful and current. The data modeler may need to be a proficient programmer, either to create such a system from the ground-up or to adapt existing data-culling software to the tailored needs of the company.
A data modeler will normally need a college education in IT or another computer science area, as well as a strong background in statistics. Many data modelers specialize in a specific business area, as this expertise normally makes it easier to find useful data trends for their employers or contracted businesses. These employees typically work in an office during regular hours of the work week.
Data Modeler Tasks
- Extract, evaluate, aggregate and analyze data from multiple databases to create predictive and/or relational data models.
- Conduct gap analyses and recommend ways to improve overall data quality, metadata, and integration of data across systems.
- Evaluate and document data quality and data cleansing efforts.
Data Modeler Job Listings
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Popular Skills for Data Modeler
Data Modelers report using a diverse set of skills on the job. Lucky workers who know Data Management can expect a significant pay bump, scoring salaries 23 percent above average. SQL and Data Modeling are also correlated to pay that is above average, with increases between 4 percent and 23 percent. Those listing SPSS as a skill should be prepared for drastically lower pay. Statistical Analysis and R also typically command lower compensation. Those proficient in Data Modeling are, more often than not, also skilled in Statistical Analysis.
Pay by Experience Level for Data Modeler
Median of all compensation (including tips, bonus, and overtime) by years of experience.
In general, experience and pay appear to be strongly linked; those with more experience usually bring in higher incomes. Salaries of relatively inexperienced workers fall in the neighborhood of $71K, but folks who have racked up five to 10 years see a notably higher median of $100K. After 10 to 20 years, professionals can make it pretty big; the median salary sits in the six-figure neighborhood of $110K. Data Modelers who have stuck around for more than two decades see earnings that are only slightly higher than those of folks who have worked for 10 to 20 years; the more senior group makes around $114K on average.
Pay Difference by Location
For Data Modelers, working in the bustling city of Seattle has its advantages, including an above-average pay rate. Data Modelers will also find cushy salaries in New York (+14 percent) and Chicago (+3 percent). For Data Modelers, Minneapolis, Columbus, and Detroit, three midwestern cities, are home to the lowest salaries in the United States, all claiming a rate below the national average. Workers in Columbus and Detroit earn salaries that trail the national average for those in this profession (19 percent less and 8 percent less, respectively).