Data Steward Position Available In Fulton, Georgia

Data Steward Equifax

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Alpharetta, GA Job Details Full-time Estimated:

$97.1K

• $127K a year 1 day ago Qualifications Looker Management Big data Data structures Google Cloud Platform Mid-level Tableau 3 years Java SQL Analysis skills Bachelor’s degree Data management User acceptance testing Financial services Metadata Data visualization Leadership Python Full Job Description The Data Steward position is a high-performing role in support of data management functions for a particular data domain within USIS.

This individual will work within a team of data stewards who serve as subject matter experts for the data sources, to ensure the appropriate quality, metadata management and internal and external support are in accordance with our service level commitments. Candidates should be courageous, tenacious, creative, optimistic and curious, with an appetite for growth in business-minded leadership. This role is located in Atlanta (Georgia). What you’ll do

Data Domain Expertise:

Understand the lifecycle of the Equifax data sources across all stages from ingestion to production

Business Transformation:

Drive the support of migration activities as we move our data sources into the cloud. This will include running validation routines, comparing data results between legacy and cloud systems and working across different USIS teams to coordinate and track project deliverables

Data Quality Monitoring:

Own the development of automated, threshold-based reports that efficiently and reliably identify areas for further investigation and improvement. Act on the findings of these reports in a timely manner, prioritizing effort based on business impact.

Metadata Management:

In keeping with USIS Data program standards, and in line with the service level commitments for each data source, support the maintenance of our metadata management artifacts (e.g., schemas, business rules, data dictionaries) reposed in Collibra. Business Partnership and Consulting

• Shares basic knowledge of the markets, strategies, and operating environments for a product Product Thinking
• Begins to apply Product Thinking in carrying out job responsibilities Depth of Technical Knowledge
• Developing detailed knowledge of the data and technology supporting a data product What experience you need 3 years of relevant experience with industry-leading lenders and/or data companies, with a working knowledge of data structure, data handling, the credit lifecycle and data management 3 years of analysis experience in credit risk, telecommunications, financial services, marketing, fraud, or insurance Strong aptitude and proven ability to develop data-driven solutions to meet business objectives 3 years of experience with data handling/quality tools and Big Data ecosystems i.

e. SQL, Google Cloud Platform, BigQuery, and BI Tools (Looker, BigQuery, Tableau, etc.) 3 years of experience with data and business insights analysis which identify and drive ongoing excellence in data quality practices 3 years of experience with User Acceptance Testing (UAT) processes Bachelor’s degree in related discipline What could set you apart Experience with creating user manuals, training materials, and other documentation related to UAT. Familiarity with cloud and on-prem technologies, structured and unstructured data, streaming and reposed data A strong sense of governance protocols, the need to respect highly sensitive data and proactive attention to regulatory, security and compliance driven policies Demonstrates leadership with cross-functional efforts; develops effective working relationships with peers, managers, and senior management within and across organizational lines The ability to manage multiple high-impact projects at the same time Creativity and drive, coupled with a desire to grow in thought leadership, initiative and strategic thinking Experience with Collibra, or similar metadata management tool Experience with Looker, or similar data visualization tool Experience with SQL, Google BigQuery, Python, Java, or equivalent database queries and views