Data Engineering Intern assisting with data projects and cloud solutions at Simmons Bank. Collaborating on data pipelines and gaining exposure to modern data engineering concepts.
About the role
- People Data Architect designing and managing people data analytics for Gen, delivering actionable insights for HR. Collaborating across teams to enhance data-driven decision-making.
Responsibilities
- Own and evolve the end-to-end people data architecture, including warehouse environments, ETL/ELT pipelines, data models, and governance.
- Maintain a single source of truth for workforce metrics with standardized definitions, consistent logic, and strong data quality controls.
- Lead the development, deployment, and maintenance of dashboards, reports, and analytics products that drive actionable insights for HR and business leaders.
- Enable governed, secure, and intuitive self-service BI capabilities across the P&C organization.
- Partner closely with People Operations, HRBPs, CoEs, IT, and Finance to ensure data alignment, integration, reconciliation, and system optimization.
- Monitor data quality, platform performance, and user experience; implement continuous improvements.
- Support foundational AI-readiness by structuring and documenting clean, high-quality people data assets.
- Design dimensional models and curated data sets to support reporting, predictive analytics, and workforce planning.
- Build scalable ETL/ELT pipelines using modern data engineering tools (e.g., dbt, Fivetran, Airflow).
- Administer the BI platform (e.g., Tableau, Power BI, Looker), including governance, permissions, semantic layers, and performance optimization.
- Develop advanced analytics solutions such as headcount forecasting, attrition modeling, compensation analysis, and talent flow insights.
- Transform raw data into business-ready assets, enabling reporting, storytelling and decision support for senior executives.
- Establish data governance practices, including metadata, lineage, definitions, and role-based access control.
- Serve as a technical advisor for emerging use cases in AI, automation, and predictive analytics within the HR ecosystem.
Requirements
- 5+ years of experience in data engineering, BI development, workforce analytics, or a related quantitative discipline.
- Hands-on experience designing and managing data warehouses, ETL/ELT pipelines, and dimensional data models.
- Proficiency with SQL and modern data stack tools (Snowflake, Redshift, or similar).
- Experience administering and developing in enterprise BI tools (Power BI, Tableau, or Looker).
- Strong understanding of HR data structures (Workday, ATS, performance, compensation, learning, etc.).
- Ability to translate business questions into data models, analytical approaches, and dashboards.
- Demonstrated strengths in data governance, quality, and documentation.
Benefits
- 401(k) match
- health insurance options
- disability coverage
- life insurance
- unlimited paid time off
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