Junior Data Analyst / Analytics Engineer (payroll, HR) (M/F)
About the company
Our client is a fast-growing B2B SaaS software publisher based in Paris. Its solution interfaces with its clients' payroll, HR management, and insurance systems, as well as with certain social protection organizations, in order to collect, standardize, and reconcile data from multiple sources.
As part of its development, the company is strengthening its data team, composed of five people with scientific profiles (PhDs and engineers), specializing in data analysis, statistics, and machine learning.
Your tasks
Reporting to the head of the data team, you will work on the exploitation of payroll, HR, social security, and insurance data processed by the platform. Your role consists of transforming this data into reliable and useful analyses for both clients and internal teams.
- Collect and formalize the analysis needs expressed by business teams and clients
- Research, extract, and cross-reference relevant data to meet these needs
- Perform analyses with high precision requirements, particularly regarding payroll and contribution data
- Design and implement data quality tests
- Contribute to the improvement of reconciliation processes between data sources
- Participate in the creation of a standardized and anonymized reference database
- Maintain and evolve existing dashboards
- Document the processing and business rules used
Requirements
Desired Profile: Experience
- Minimum 3 years of experience as a Data Analyst, Analytics Engineer, or Data Engineer
- Initial experience with payroll, HR, insurance, finance, or public sector data is essential
Technical Skills
- Practice of Python for data manipulation and analysis
- Mastery of SQL
- Experience in data integration (API, SFTP, ETL, pipelines) is a plus
- Knowledge of statistics and machine learning is appreciated
Desired Qualities
- Rigor and attention to detail: you are attentive to data consistency and accuracy
- Interest in business rules and complex business topics
- Ability to understand an existing technical environment before proposing evolutions
- Autonomy, curiosity, and a desire to learn
- Professional English, as the team includes English-speaking employees
Other
Technical Environment
- Language: Python (mastery of R is also appreciated)
- Architecture: Multitenant B2B SaaS, distributed databases, data lake, and data lakehouse
- Data sources: payroll and SIRH software, social organizations, insurers (API, file exchanges)