Data Processor Salaries

Position

Salary

How much does a Data Processor make?

The average salary for a Data Processor is $41,809 per year in the US.

Graph depicting the yearly salary distribution for Data Processor positions, showing an average salary of $41,809 with varying distribution percentages across salary ranges.

Graph depicting the monthly salary distribution for Data Processor positions, showing an average salary of $41,809 with varying distribution percentages across salary ranges.

Graph depicting the weekly salary distribution for Data Processor positions, showing an average salary of $41,809 with varying distribution percentages across salary ranges.

Graph depicting the hourly salary distribution for Data Processor positions, showing an average salary of $41,809 with varying distribution percentages across salary ranges.

Data processors handle and organize large amounts of data. These professionals are key in making sure data is clean and ready for analysis. Their role is in high demand, especially as companies rely more on data for decision-making. Data processors earn a good salary, reflecting the importance of their work.

The average yearly salary for a data processor is about $41,809. Some data processors earn less, while others make more. The top earners in this field make around $89,000 per year. Most data processors fall in the middle, earning between $35,000 and $59,000 yearly. This range shows that experience, skills, and location can affect earnings. A data processor's salary can grow as they gain experience and take on more complex tasks.

What are the highest paying cities for a Data Processor?

Job seekers can find top-paying roles as data processors in Chicago, IL, Tampa, FL, and San Antonio, TX. Chicago offers the highest average salary of $47,950. This city provides many opportunities for those in the field. Tampa follows closely with an average salary of $46,733. San Antonio offers a competitive $38,327 on average.

Graph displaying highest paying cities salaries for Data Processor jobs, highlighting Chicago, IL with the highest at $47,950 and San Antonio, TX with the lowest at $38,327.

Chicago, IL
Average Salary: $47,950
In Chicago, professionals manage large sets of data for various companies. Major firms like IBM and Accenture seek skilled individuals for data management roles. The city's diverse industries provide a range of opportunities.
Find Data Processor jobs in Chicago, IL
Tampa, FL
Average Salary: $46,733
Tampa offers a growing job market for those who handle data processing. Companies such as Deloitte and JPMorgan Chase look for detail-oriented candidates. The city's business-friendly environment supports career growth.
Find Data Processor jobs in Tampa, FL
San Antonio, TX
Average Salary: $38,327
San Antonio provides many options for data processors. Key employers like AT&T and Valero Energy require strong analytical skills. The local economy benefits those in this field with steady demand.
Find Data Processor jobs in San Antonio, TX

What are the best companies a Data Processor can work for?

Job seekers aiming for roles as Data Processors can find attractive opportunities with Conduent. This company offers an average salary of $29,973, providing a stable income. Its commitment to employee development makes it a great choice for those in this field. Conduent prioritizes data accuracy and efficiency, ensuring that Data Processors work in a dynamic and rewarding environment. This company’s focus on technology and innovation keeps its projects challenging and engaging.

Graph displaying best paying company salaries for Data Processor jobs, highlighting Conduent with the highest at $29,973 and Conduent with the lowest at $29,973.

Conduent
Average Salary: $29,973
Conduent offers diverse opportunities for Data Processors. They focus on managing customer information and data integrity. They operate in various locations including the U.S., India, and the Philippines. Conduent emphasizes efficiency and accuracy in data processing.

How to earn more as a Data Processor?

Looking to increase earnings as a Data Processor? Several key factors can help boost your salary. These factors range from gaining certifications to improving specific skills.

First, obtaining relevant certifications can open doors to higher-paying jobs. Certifications like the Certified Data Management Professional (CDMP) or the Microsoft Certified: Data Fundamentals validate expertise. These credentials often lead to better job offers and higher pay.

Second, mastering data management software is crucial. Proficiency in tools like SQL, Python, and Excel can set you apart. These skills allow for more efficient data processing and analysis, which employers value.

Next, gaining experience in different industries can increase earning potential. Each industry has unique data needs. Experience in multiple sectors can make a candidate more versatile and desirable to employers.

Certifications: Earning certifications can lead to higher-paying jobs.
Skill Development: Mastering software tools improves efficiency.
Industry Experience: Working in multiple industries makes a candidate versatile.
Networking: Building connections can lead to new job opportunities.
Continuous Learning: Staying updated with new trends keeps skills current.

Data Processor Salaries

How much does a Data Processor make?

What are the highest paying cities for a Data Processor?

What are the best companies a Data Processor can work for?

How to earn more as a Data Processor?

Currently 35 Data Processor job openings, nationwide.

How's the job market for a Data Processor in the US?

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