Description
As a Senior HR Data Operations Analyst at Target, you will build, maintain, and optimize reliable data pipelines across internal and external sources to support People Analytics & Insights.
You will partner with analytics and engineering teams to deliver scalable data solutions that enable informed HR and business decision-making while working in an agile environment.
Key Responsibilities
- Develop, deploy, and maintain scalable, reliable data pipelines and workflows.
- Partner with People Analytics teams to translate business data requirements into effective data solutions.
- Build and optimize ETL processes across internal and external data sources.
- Troubleshoot data infrastructure, performance, and data-quality issues, and implement sustainable fixes.
- Develop and maintain data models, schemas, and technical documentation.
- Partner with Data Governance teams to ensure data security, privacy, and compliance.
- Evaluate new tools and technologies and support automation of data products and reporting processes.
- Participate in agile ceremonies and collaborate across analytics and engineering teams to deliver against priorities.
Qualifications & Experience
- Bachelor’s degree in Computer Science, Information Science, or a related field.
- 5+ years of experience in HR data management, including at least 2 years working with Workday data.
- Strong understanding of data management concepts and data-quality best practices.
- Experience building data pipelines using APIs and external data providers, preferably within Hadoop and GCP.
- Proficiency in SQL and familiarity with Python or Scala.
- Experience building semantic layers and knowledge graphs.
- Knowledge of streaming technologies such as Apache Kafka.
- Strong analytical and problem-solving skills with a continuous-learning mindset.
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