Remote Data Quality Analyst

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 as a 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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