The Data Quality Analyst is primarily accountable for designing and implementing data quality rules in Alteryx based upon their understanding of the business and technical data requirements. Successful candidate will have intermediate to expert skills with Alteryx and with data quality implementations specifically.
Role description:
Solicit, analyze, and understand data requirements (business and technical) to support creation of data quality rules.
Design, build, and test data quality inspection and reporting using Alteryx.
Understand data management solutions, applications, platforms, and/or tools that are leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.)
Support data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities.
Support business teams in the use and understanding of the data and reporting solutions.
Drive data-centric solution development focusing on complex data integration.
Adopt the Enterprise Data model in alignment with policies and/or direction from the relevant stakeholder groups.
May also develop data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data.
May also be responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists.
Skills:
Superior verbal and written communication skills, problem solving skills, attention to detail and interpersonal skills.
Leadership skills to proactively engage and influence stakeholders.
Ability to work independently and manage one’s time.
Basic knowledge of data design techniques and principles.
Basic knowledge of Microsoft Office and SQL.
Intermediate or expert level Alteryx knowledge and skills.