Remote Data Quality Analyst

Easy Recruiter; Village of Panama (NY); Remote; USD 70,000 - 90,000; Full time

Job summary

A leading data management company is seeking a Data Quality Analyst in Village of Panama. As part of a growing data team, you will ensure the reliability and quality of enterprise data. Responsibilities include investigating data issues, collaborating with engineers to propose solutions, and designing monitoring dashboards. Ideal candidates have a Bachelor's degree and extensive data analysis experience, with strong SQL skills and familiarity with data governance frameworks. This position offers an opportunity to work in a dynamic environment that values data as an asset.

Qualifications

• 3+ years of experience in data analysis at an enterprise level.
• Proficiency in SQL and basic knowledge of Python.
• Experience with a Data Governance Framework.

Responsibilities

• Investigate and manage data-related incidents.
• Work with engineers to address data quality issues.
• Design quality metrics dashboards and monitoring tools.

Skills

Data analytics

SQL expertise

Data profiling

Collaboration

Education

Bachelor's Degree

Tools

Power BI

ETL/ELT tools

Google Analytics

Job description

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

• Bachelor's 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