Overview:
SOFTSWISS continues to expand and is looking for an HR Data Analyst. We need a true, experienced, accomplished professional who shares our culture and values.
In this role, you will transform complex HR data into actionable insights that support strategic workforce decisions. You’ll work closely with stakeholders across HR (Talent Acquisition, L&D, Comp & Ben, etc.) and the broader business to develop reports, dashboards, and predictive models that improve hiring quality, employee experience, retention, and organisational performance.
Key responsibilities:
- Analyze key HR metrics including turnover, retention, quality of hire, time-to-hire, engagement, and productivity.
- Track and report on recruitment performance (cost-per-hire, source effectiveness, diversity metrics).
- Create and maintain HR dashboards using tools like Power BI, Tableau, Excel, or similar.
- Identify trends and patterns in workforce data to support data-driven HR strategy.
- Collaborate with HRBPs and business leaders to inform decisions on headcount planning, hiring priorities, and organizational design.
- Support people analytics initiatives, including workforce forecasting, attrition prediction, and compensation benchmarking.
- Automate recurring reports and build scalable data pipelines with support from IT/data teams.
- Ensure data integrity and compliance with privacy regulations (GDPR, CCPA, etc.).
- Partner with Talent Acquisition, L&D, and Performance Management teams to assess and improve key HR programs.
- Present insights to both technical and non-technical stakeholders, adapting communication style accordingly.
Requirements:
- 2+ years of experience in data analysis, preferably within HR, People Analytics, or a similar domain
- Proficient level of English (B2+)
- Proficiency in Excel and at least one data visualisation tool (e.g., Power BI, Tableau, Looker).
- Strong knowledge of SQL or experience working with structured datasets.
- Experience analyzing metrics such as time-to-hire, quality-of-hire, turnover, retention, or eNPS.
- Understanding of ATS, HRIS, and LMS systems and their role in data collection.
- Strong business acumen and ability to connect HR metrics to business outcomes.
- Excellent communication skills with the ability to tell stories with data.