HR Data Analyst (Contract)

Groupe SEGULA Technologies SA; Herndon (VA); On-site; USD 85,000 - 120,000; Full time

Job summary

Groupe SEGULA Technologies SA is seeking a data analyst to collect, clean, and transform data from multiple sources in a fast-paced environment.

You will perform large-scale data analysis, build dashboards with Tableau/Power BI, and write SQL and Python queries to extract insights for HR leadership and cross-functional teams. You will develop data models and support ML initiatives, contributing to strategic decision-making.

Qualifications

• Proficient in SQL for data extraction and manipulation.
• Strong Python skills for data analysis and modeling.
• Experience with BI tools such as Tableau or Power BI for dashboards.

Responsibilities

• Collect, clean, and transform data from multiple sources.
• Perform large-scale data analysis to identify trends and insights.
• Build interactive dashboards and reports using Tableau/Power BI.
• Write SQL and Python queries to extract and analyze data.
• Develop data models and support ML initiatives.
• Analyze structured, semi-structured, and unstructured data (XML, JSON).
• Present findings to HR leadership and stakeholders.
• Document data processes and methodologies.
• Collaborate with business partners to improve reporting and decision-making.
• Support continuous improvement of analytic models and reporting tools.
• Learn and implement emerging data technologies and best practices.

Skills

SQL

Python

Tableau

Power BI

Tools

Tableau

Power BI

Excel

Job description

• Collect, clean, and transform data from multiple business systems and data sources.
• Perform large-scale data analysis using statistical and analytical techniques to identify trends and business insights.
• Build interactive dashboards and reports using Tableau, Power BI, or similar visualization tools.
• Write and execute SQL and Python queries to extract, manipulate, and analyze data.
• Develop data models and support machine learning initiatives to solve business challenges.
• Analyze structured, semi-structured, and unstructured data (XML, JSON, etc.).
• Present data-driven recommendations and communicate findings to HR leadership and cross-functional stakeholders.
• Document data processes, methodologies, and analytical findings.
• Collaborate with business partners to improve reporting, analytics, and decision-making processes.
• Support continuous improvement initiatives by recommending enhancements to analytical models and reporting tools.
• Learn and implement emerging data technologies and best practices.