Sr HR Data Ops Analyst - Data Operations

Sr HR Data Ops Analyst - Data Operations

About Target

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America’s leading retailers. Joining Target means fostering a culture rooted in care, inclusion and respect, while striving to make a meaningful and positive impact. At Target, we value diverse perspectives, encourage authentic relationships and believe every team member’s voice matters.

Overview of Target in India

Target’s success is driven by a timeless purpose and a proven strategy, brought to life by talented teams across the globe. In India, Target operates as a fully integrated part of its global organization, with more than 5,000 team members in Bengaluru supporting enterprise-wide strategy, technology and operations. Target in India offers an inclusive, learning-focused environment where innovation, collaboration and people-first values enable world-class outcomes.

About the Team

The People Analytics & Insights team enables data-driven HR and people decisions by delivering trusted analytics, reporting, insights and scalable data solutions. The team partners across HR and the business to understand needs, answer critical questions and influence strategy through data.

About the Role

As a Senior HR Data Operations Analyst, 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.

Experience Level

Senior Level