RESPONSIBILITIES

• Identify data accuracy problems by comparing data from internal digital IT Asset platforms to internal specific reporting databases;
• Evaluate large datasets and ensure adherence to data quality standards such as compliance to naming conventions;
• Develop and maintain QA Dashboards and deliver weekly findings in the most easily consumable way and surface the key insights from the data;
• Working and coordinating with teams across offices, provide first-line support to help users overcome data quality issues and track the progress of issue resolution;
• Determine the root cause for data quality errors and make recommendations for long-term solutions.

REQUIREMENTS

• A strong, methodical approach to problem-solving and attention to detail;
• Excellent interpersonal and communication skills;
• Proficiency in MS Excel and MS PowerBI;
• Flexible and innovative;
• Professional;
• Goal-oriented and accurate;
• Good communicator and coordinator;
• Responsible.

Any of the following will be considered a benefit:

• Programming experience in Javascript, SQL, Python/R, or Big Quer;
• DA-100: Analyzing Data with Microsoft Power BI;
• ITIL Foundations.