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Data Quality Analyst

Job ID : 38126

Job Title : Data Quality Analyst

Location : Dallas, IA

Comapny Name : Emblue

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary :  $25000 - $35000  per year

Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]

No. of Positions : I have ongoing need to fill this role

Posted on : 12-02-2024

Required Skills : Data cleansing, Data quality improvement, Problem solving.

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :

Responsibilities:

  • Ensure the accuracy and quality of the data and reporting applications through detailed analysis, efficient coding and identifying and resolving problems as they arise.
  • Participates in the development of data quality rules, thresholds, and standard/quality expectations for data elements that support critical business processes.
  • Continuously execute and monitor the Data Quality Lifecycle on a daily basis.
  • Implement controls to mitigate data quality risks including continuously monitoring data quality results, reports and dashboards.
  • Address data questions, requests or issues through our internal ticketing process.

Requirment:

  • 2+ years of experience with relational database management systems, especially with MS SQL Management Studio.
  • 2+ years of experience developing complex, highly optimized SQL Stored Procedures and functions across large volumes of data
  • Experience with data appends and data cleansing techniques.
  • Demonstrated understanding of Data Warehousing and Business Intelligence concepts.
  • Strong organizational and project management skills and demonstrable ability to manage multiple projects at a given time.
  • Experience with Tableau, Sisense or an equivalent reporting tool.

Key Skills:

  • Data cleansing.
  • Data quality improvement.
  • Problem solving.
  • Communication.
  • Strong analytical and problem-solving skills.
  • Analyse and interpret data.
  • Collaboration.
  • Data analysis for quality insights.

Company Details :

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