Your space-enabled career begins here

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