Data Accuracy Specialist

MK WHOLESALE INC
Jacksonville, FL, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$49,920.0 - $60,320.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Data Analysis Data Auditing Data Validation Data Governance Information Management SQL Databases Data Management

Job description

As a Data Accuracy Specialist, you will play a vital role in maintaining and improving the quality of our data assets, helping us deliver exceptional service to our clients and partners., * Conduct regular data validation and cleansing activities to maintain high data quality standards.

  • Analyze data sets to detect inconsistencies, anomalies, or inaccuracies.
  • Work closely with IT, operations, and business units to address data issues and implement corrective actions.
  • Develop and maintain documentation related to data quality processes and procedures.
  • Assist in designing and executing data quality improvement initiatives.
  • Generate reports on data accuracy metrics and communicate findings to stakeholders.
  • Stay current with industry best practices and tools related to data management and quality assurance.

Requirements

Do you have experience in Technical Proficiency?, Do you have a Bachelor’s degree?, At MK Wholesaler, precision and reliability in data management are critical to our success. We are seeking a detail-oriented Data Accuracy Specialist to join our team and ensure that our data remains flawless, consistent, and trustworthy. This role offers an exciting opportunity to contribute directly to the integrity of our operations and support informed decision-making across the company., * Bachelor’s degree in Information Management, Business Administration, Data Science, or a related field.

  • Proven experience in data quality assurance, data analysis, or a similar role.
  • Strong attention to detail with excellent analytical and problem-solving skills.
  • Proficiency in data management tools and software, such as Excel, SQL, or data visualization platforms.
  • Ability to work independently and collaboratively within a team environment.
  • Effective communication skills to liaise with technical and non-technical stakeholders.
  • Familiarity with data governance principles and best practices is a plus.

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