[Hiring] Data Analyst/Developer @SmartIPlace

Role Description

The Data Governance and quality team is seeking a Data Analyst/Developer to work in the Enterprise Data Governance team to gather, analyze and document datasets to help build artifacts for the Data User Community. Work under the guidance of a Data Governance Lead to perform analysis to establish baseline blueprints for key asset data quality metrics, workflows, model, develop data quality tools to support alignment with Data Analytics through the Data Catalog as well as all other initiatives needing data.

What YOU will do:

• Perform data profiling analysis from different sources and report data analysis findings to management to inform business decisions and prioritize information system needs.
• Work with business users to identify critical data elements, data quality rules, thresholds, and other business requirements.
• Develop Data Quality dashboards and visualizations.
• Support presentations, documentation, feedback loops and maintaining data records.
• Support project deliverables for the DG tools.
• Work with data governance partners and technology teams to implement/expand data governance tools.

What YOU will learn:

• How to take raw data from "flabby Abby" to fit for purpose and fabulous.
• How to work cross functionally across every area of our business to help our users realize the power of our data assets.
• Understand the driving forces that data represents in the life of a complex and exciting company.
• Best in class toolsets that will drive future career opportunities.

Qualifications

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) unless prohibited by local laws/regulations.
• Minimum 2 years of prior relevant experience or an Advanced Degree in a related field.
• In absence of a degree, 6 years of relevant experience.

Requirements

• Experience with Data Analysis methods.

Skills you must have

• Experience with Data Analysis methods.

Skills we value

• Ability to understand data classifications like technical & non-technical data.
• Ability to work across diverse groups and create quality connections with peers.
• Data Quality review experience a plus.