Quality Analyst Jobs

About The Position

Requirements

• Bachelor’s degree in computer science, information systems, data management, or a related field.
• At least 5 years of hands-on experience in data analysis, data quality, or data management roles.
• Advanced Excel skills.
• Strong SQL skills and proven ability to perform data profiling, cleansing, and validation across large datasets.
• Experience with modern data quality and observability tools such as Monte Carlo, Great Expectations, Soda, or Datafold.
• Familiarity with AWS data services, Snowflake, or other cloud-native data platforms.
• Solid understanding of data integration, data pipelines, and ETL processes.
• Excellent problem-solving and analytical skills, with strong attention to detail.
• Strong collaboration and stakeholder management skills, with the ability to work across data engineering, governance, and business teams.
• Strong communication skills and ability to translate technical data findings into actionable business insights.

Nice To Haves

• Experience with data governance and catalog platforms such as Atlan, Collibra, Alation, or Informatica to maintain business glossaries, data lineage, and links between data quality rules and governed data elements.
• Experience defining and operationalizing data quality SLAs, data contracts, and stewardship workflows, including issue escalation, remediation accountability, and performance reporting with data owners.
• Familiarity with data governance frameworks such as DAMA-DMBOK or EDM Council DCAM; CDMP or a similar data management certification is a plus.
• Working knowledge of data observability concepts such as schema drift, freshness, and completeness.
• Understanding of master data management and metadata-driven data governance principles.
• Experience working with SAP (MDG, ECC, or S/4HANA) or other ERP systems in a data management context.

Responsibilities

• Develop, implement, and maintain data validation, profiling, and reconciliation routines across multiple data sources using SQL, Python, and modern data quality tools.
• Build and maintain data quality dashboards and scorecards to track metrics and trends.
• Perform root-cause analysis and partner with engineering and stewardship teams to remediate data issues.
• Document data quality rules, thresholds, and exception workflows for ongoing monitoring.
• Support configuration and integration of data quality and observability tools with BBG’s Snowflake-on-AWS Datahub.
• Collaborate with Data Engineering to embed quality checks into ingestion and curation pipelines using dbt, Airflow, or similar frameworks.
• Assist in defining and operationalizing alerting and incident management processes for data anomalies.
• Partner with Data Governance and Stewardship teams to align with master data management and governance standards.
• Support the rollout of data quality SLAs and ensure business data owners can see data quality performance.
• Contribute to standard operating procedures for data quality and remediation processes.
• Identify opportunities to automate and streamline data quality checks and issue resolution.
• Provide input into continuous improvement of the enterprise data quality framework, tools, and methods.
• Support data literacy initiatives by helping business and technical users understand data quality metrics and their impact.
• Perform other duties as assigned by the jobholder’s supervisor.

Benefits

• Corporate bonus: 10%