Data Quality Analyst / Data Quality Engineer

Job Title: Data Quality Analyst / Data Quality Engineer

Location: Charlotte NC/ St. Louis

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Job Summary:

This Job is responsible for supporting and ensuring the quality of Spectrum Reach data. Assisting with issues reported by data partners, applications or other data consumers. The role also acts as a bridge between our business and technical teams but must be strong technically themselves. Good working knowledge of AI to improve velocity.

Primary Skills Snowflake, Python, ETL, Unix

Major Duties and Responsibilities:

Act as liaison/bridge between business and technical team

Ensure that the product meets user needs as well as aligns with company goals

Assist in data inquiries e.g. questions about data drops, duplicates, correctness, etc.

Research data lineage as well as trace data mapping

Ability to perform data quality checks and anomaly detections

Attend weekly meetings for Triage of tickets and Production Migration Requests (PMR)

Work in JIRA to open and update tickets when needed

Work with DQ/DV teams to ensure thorough testing and leveraging on Monte Carlo and Octane to meet SR standards

Review current processes and assist in checking completeness of these processes

Identify areas of improvement for the team and strive to implement best practices

Required Qualifications

• 5+ years' experience with SQL (analysis, writing Ad hoc SQL queries, data validation and data quality)
• 5+ years' experience in an enterprise environment
• 3-5 years programing experience (Python and UNIX shell scripting are a major plus)
• Ability to perform critical thinking and work through challenges
• Excellent analytical and troubleshooting abilities
• Proven problem solver
• Strong attention to detail
• Ability to perform in a fast-paced environment
• Detail oriented
• Self-motivated, proactive and results driven
• Excellent communication skills, both written and verbal
• Must work well with others and promote a positive Team environment
• Excellent team skills

Preferred Qualifications

• Experience working with UNIX Shell scripting
• Experience with Python
• Snowflake experience
• Data warehousing experience