Human Capital Analytics Developer: Python, Dashboards, ETL

Referment; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Referment is partnering with a global investment and technology firm to fill an Analytics Developer role in its human-capital function. You’ll act as both developer and product owner for key analytics tools, building Python-based reporting, dashboards for senior leaders, and data pipelines to support compensation reporting.

You'll own automated reporting, contribute to ETL pipelines, and collaborate with non-technical stakeholders while maintaining robust, well-documented code—an ideal fit for

Qualifications

• Bachelor’s degree or higher in a technical, quantitative or related discipline.
• 1–3 years’ experience using Python to build and maintain code, with SQL and GraphQL for data querying and transformation.
• Practical experience with Git and GitHub, including collaborative review workflows.
• Ability to troubleshoot technical problems, manage operational tasks and deliver accurate analysis in a fast-moving environment.
• Clear communication, attention to detail and collaborative problem-solving.

Responsibilities

• Develop automated reporting and analytics solutions, primarily in Python.
• Build dashboards and reporting products from the ground up for senior leaders.
• Contribute to ETL pipelines and initiatives to improve reporting infrastructure.
• Maintain Python packages with reliable, well-documented code.
• Troubleshoot issues, improve processes and support analytics tooling development.
• Use Git and GitHub for version control and collaboration.
• Conduct ad hoc analysis in partnership with HR and related teams.

Education

Bachelor's degree or higher in a technical, quantitative or related discipline

Tools

Python

SQL

GraphQL

Git

GitHub

ETL pipelines

Dashboards

Job description

Referment is partnering with a global investment and technology firm to fill an Analytics Developer role in its human-capital function. You’ll act as both developer and product owner for key analytics tools, building Python-based reporting, dashboards for senior leaders, and data pipelines to support compensation reporting.

You'll own automated reporting, contribute to ETL pipelines, and collaborate with non-technical stakeholders while maintaining robust, well-documented code—an ideal fit for