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Data control specialist vs business specialist

The differences between data control specialists and business specialists can be seen in a few details. Each job has different responsibilities and duties. Additionally, a business specialist has an average salary of $73,521, which is higher than the $57,258 average annual salary of a data control specialist.

The top three skills for a data control specialist include data entry, data analysis and data processing. The most important skills for a business specialist are patients, customer service, and product knowledge.

Data control specialist vs business specialist overview

Data Control SpecialistBusiness Specialist
Yearly salary$57,258$73,521
Hourly rate$27.53$35.35
Growth rate10%4%
Number of jobs139,96995,909
Job satisfaction--
Most common degreeBachelor's Degree, 62%Bachelor's Degree, 65%
Average age4444
Years of experience--

Data control specialist vs business specialist salary

Data control specialists and business specialists have different pay scales, as shown below.

Data Control SpecialistBusiness Specialist
Average salary$57,258$73,521
Salary rangeBetween $36,000 And $90,000Between $44,000 And $120,000
Highest paying City-Seattle, WA
Highest paying state-Washington
Best paying company-BP America Inc
Best paying industry--

Differences between data control specialist and business specialist education

There are a few differences between a data control specialist and a business specialist in terms of educational background:

Data Control SpecialistBusiness Specialist
Most common degreeBachelor's Degree, 62%Bachelor's Degree, 65%
Most common majorBusinessBusiness
Most common collegeWestern Carolina UniversityWestern Carolina University

Data control specialist vs business specialist demographics

Here are the differences between data control specialists' and business specialists' demographics:

Data Control SpecialistBusiness Specialist
Average age4444
Gender ratioMale, 35.6% Female, 64.4%Male, 48.1% Female, 51.9%
Race ratioBlack or African American, 6.4% Unknown, 4.6% Hispanic or Latino, 9.4% Asian, 8.8% White, 70.4% American Indian and Alaska Native, 0.4%Black or African American, 6.4% Unknown, 4.6% Hispanic or Latino, 9.4% Asian, 8.8% White, 70.4% American Indian and Alaska Native, 0.4%
LGBT Percentage11%11%

Differences between data control specialist and business specialist duties and responsibilities

Data control specialist example responsibilities.

  • Promote to manage system development teams and charge with performing new product QA.
  • Furnish key initiative in all parts of government and commercial contract/compliance and manage transportation, logistics and substance contracting exercises.
  • Process insurance claim payments; using mainframe.
  • Review JCL and documentation to ensure compliance with establish standards.
  • Provide audits researching and comparing data between OES and AS400 systems pertaining to out-of-balance jobs, which initiate departmental corrections.
  • Used Microsoft SharePoint to track all data enter, correct, delete, or otherwise add or change in the network.
  • Show more

Business specialist example responsibilities.

  • Manage existing accounts while identifying new sources of opportunities for sales in the SME segment through cold calling and prospecting.
  • Schedule appointments for estimates for replacement windows, doors, bathroom remodels, gutter replacements, etc.
  • Contribute to product development and roll out of multiple insulation, foam, windows & siding products.
  • Analyze weekly POS data to identify product trends, additional sales opportunities, and drive sales to exceed budgets.
  • Observe strict confidentiality within HIPAA regulations.
  • Work with electronic medical records system uploading documents into patients files.
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Data control specialist vs business specialist skills

Common data control specialist skills
  • Data Entry, 29%
  • Data Analysis, 17%
  • Data Processing, 8%
  • SQL, 8%
  • VBA, 7%
  • R, 6%
Common business specialist skills
  • Patients, 16%
  • Customer Service, 14%
  • Product Knowledge, 7%
  • Power Bi, 7%
  • Data Analysis, 4%
  • Treasury, 4%

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