About the job Remote Data Quality Analyst
Description
We are growing our enterprise data team of analysts, architects and engineers. This team is responsible for data governance, business intelligence, enterprise data architecture, data analytics, and ensuring that data is managed asa core corporate asset at OReilly. As a member of the enterprise data team, you will work collaboratively with engineering, product, security, data science, legal, and individuals throughout all areas of the business to ensure reliability, quality, and trustworthiness of data used for business decision making.
About The Job
As a Data Quality Analyst you will be responsible for helping OReilly ensure the reliability of our enterprise data. Data is one of our most important assets, and as a member of our data team you'll be responsible for helping us manage it. We are looking for a candidate who not only has the data analysis skills to successfully investigate, analyze and respond to day-to-day business issues, but also someone who has the ideas, experience and desire to help us build proactive solutions that will help us improve and grow the reliability, consistency and quality of our data platform as our company grows.
You Will
Investigate and manage questions and incidents related to enterprise data for root cause analysis.
Work with engineers to provide recommendations on solutions to existing data quality issues
Design, build and monitor key quality metrics dashboards, alerts and other monitoring tools
Implement proactive anomaly detection to identify potential data streams with errors; covering both the known and unknown
Collaborate on the design of a data quality framework
Work with data architects, product managers, engineers and business intelligence analysts to understand and define clear data definitions and conventions across the organization
Work with product managers and architects on product changes to help ensure an accurate understanding of the use and impact of data to ensure quality and reduce risk
Work directly with end users to define, understand and help solve questions and problems around data
Documentation of data classification, definitions and requirements across all data domains
About You
You have strong data analytics skills
You have proven experience doing data analysis at an enterprise level
Minimum Requirements
Bachelors Degree required
3+ years of experience doing similar work
Advanced knowledge in SQL
Previous experience with data analysis and data profiling
Experience working with a Data Governance Framework
Technical competency with cloud database technologies
A basic knowledge of Python
Bonus Points
Degree in statistics, mathematics, computer science, information management, or similar
Technical competency in ETL / ELT tools
Experience with digital analytics tools, like Google Analytics or Omniture
Hands-on experience with reporting technologies like Power BI
Familiarity with Data Governance tools like Collibra or Erwin
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