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Data Quality Analyst

System One Holdings, LLC

Columbus (OH)

Remote

USD 60,000 - 95,000

Full time

Today
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Job summary

An innovative firm is seeking a skilled Data Quality Analyst to enhance data integrity and quality across various platforms. This fully remote role involves collaborating with data engineers, developing data quality standards, and leading the resolution of data quality issues. The ideal candidate has extensive experience in SQL, data governance, and a passion for data quality. Join a dynamic team where your analytical skills will drive improvements and ensure high data standards, making a significant impact on business processes.

Qualifications

  • 8+ years of IT experience with 5+ years in data quality.
  • Strong SQL skills for writing and executing queries.

Responsibilities

  • Manage enterprise data quality and maintain data quality standards.
  • Collaborate with data engineers to automate data quality requirements.

Skills

SQL
Data Quality Management
Data Governance
Analytical Skills
Problem-Solving

Education

Bachelor's degree in Statistics
Bachelor's degree in Computer Science
Bachelor's degree in Information Management

Tools

Power BI
Informatica Enterprise Data Catalogue

Job description

System One is looking for an experienced Data Quality Analyst to join with a partner in the Columbus, OH area.

This is a fully remote opportunity in Columbus, Ohio.

Successful candidates must be able to provide proof of ability to work in the U.S. without sponsorship. This position is not open to corp-to-corp, subcontractor or independent consulting arrangements.

Overview

The position plays a focal role managing the enterprise data quality. In this role, you will maintain data quality standards by proactively measuring data quality metrics and work cross-functionally to improve the quality of data across multiple sources and platforms while also researching. Successful candidate should have a passion for data, is detail oriented, understands technical systems, and can effectively communicate with team members and partner with stakeholders to understand and improve business processes.

Primary Duties and Responsibilities :

  • Perform data validation, support report validation and data research activities. Work with data engineers in unit testing views and stored procedures.
  • Work with data engineers to implement and automate data quality related business requirements
  • Maintain overall data quality and integrity across the organization. Identify and monitor ongoing quality improvement issues and opportunities.
  • Develop, document, and maintain data quality goals and standards.
  • Lead in the identification and resolution of data quality problems and defects. Initiate investigation processes, identify and reproduce bugs or defects, assess business impact and drive issues and improvements to resolution.
  • Identify areas for data quality improvement and collaborate with data stewards, data custodians and business partners to define data quality standards for error detection.

Preferred Qualifications :

  • Proven experience in manual testing with a strong emphasis on SQL competency, writing and executing SQL queries for data validation.
  • Troubleshoot data-related issues and assist in data integrity checks
  • Experience working with at least one or more domains : SAP ECC, Finance, Salesforce, SuccessFactors, Operations
  • Experience with data governance, meta data management and master data management.
  • Experience with any data quality tool

Experience, Education and Skills

  • 8+ years of working experience in IT
  • 5+ years of data quality experience (data stewardship and governance is a plus)
  • 5+ years of hands-on SQL experience
  • Experience with data warehousing
  • Experience with BI tools (Power BI)
  • Experience with data migration & data mapping
  • Working knowledge of data modeling - data-vault, star schema, ER-Diagrams
  • Advanced MS Office Suite skills, especially Excel
  • Strong problem-solving and analytical skills are required
  • Should be able to adapt communication style to suit different audiences such as IT, sales, finance, operations.
  • Experience with agile methodologies : SCRUM
  • Experience with Informatica Enterprise Data Catalogue (EDC) highly desirable
  • Bachelor's degree in statistics, computer science, information management, or similar
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