Senior HR Analyst

Department: Global Talent Development

Employment Type: Full Time

Location: Cyprus

Description

The Senior HR Analyst turns people data into clear insights that support business and leadership decisions. This role builds predictive models, improves data quality and pipelines, and proactively identifies risks and opportunities, while working closely with stakeholders to connect HR data with business goals.

Key Responsibilities

Strategic Insights & ROI: Translate soft HR metrics into financial ROI models and profitability analysis to influence executive decision-making.
Predictive Modeling: Build sophisticated models to forecast long-term costs, attrition risks, and talent supply scenarios to guide planning.
Improvement Opportunities: Proactively identify strategic organizational risks and profit-generating opportunities before stakeholders ask for them.
Data Pipelines: Architect the long-term data warehouse strategy and set technical standards for code quality and engineering best practices.
Data Quality: Establish data privacy frameworks and role-based access controls to ensure compliance with global regulations, while overseeing more junior team members' approaches and results
AI Strategy: Lead the strategy for AI adoption in PnC, defining how custom agents and advanced engineering techniques drive team throughput.
Stakeholder Management: Act as a bridge between technical data and business goals, translating operational needs into actionable insights for mid-level management.

Skills, Knowledge & Expertise

Bachelor’s degree in a quantitative field (e.g. Statistics, Mathematics, Economics, Computer Science); Sociology, Data Science, or People Analytics is a plus.
Proven experience of 4+ years in those fields can substitute the education options (even self-taught with a strong portfolio can be considered).
B2 or above (all analysis and reports, and most of stakeholder management will be in English)
Know all HR functions and data they generate (or can generate)
Statistics: distributions, central tendencies, variance, proportions, hypothesis testing, correlation, regression, data visualization concepts
Data engineering: data types, databases, data warehousing concepts
Project Management: general approach, project cycle steps, frameworks
Presentation: make great presentations (both slides and delivery)
Data Analysis: use data to produce actionable insights (incl.EDA, hypothesis tests, outliers, models)
Data Visualization: use charts and dashboards to influence and tell stories
Data Architechture: ensure data integrity, cleanup, use DWH
AI: know up-to-date tools and trends, use to optimize workflows
Stakeholder management: identify stakeholders, collect inputs, manage expectations
Communication: build connections with colleagues, super respectful to build positive collaboration
Developist mindset: seek solutions instead of excuses, stay curious, treat problems as opportunities

Job Benefits

Stable salary, official employment
Health insurance
Hybrid work mode and flexile schedule
Relocation package offered for candidates from other regions
Access to professional counseling services including psychological, financial, and legal support
Discount club membership
Diverse internal training programs
Partially or fully payed additional training courses
All necessary work equipment

Key Responsibilities

Skills, Knowledge & Expertise

Job Benefits

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