Senior People Data Analyst - Remote Opportunity

About the Role

As a Senior People Data Analyst on Optiver’s People Data Team, you will operate as a trusted senior individual contributor, partnering closely with stakeholders across Europe and globally to solve complex people data questions. This Senior People Data Analyst remote role is designed to provide senior analytical coverage on the team and to take meaningful ownership off the Global People Data Lead.

What You'll Do

• Analyze and interpret data across the employee lifecycle, including hiring, workforce composition, mobility, performance, compensation, and retention.
• Contribute to and maintain global dashboards, recurring reports, and ad hoc analyses used by senior leadership.
• Support local, regional, and global reporting needs within a shared team model where work is distributed across offices.
• Communicate insights clearly and concisely, tailoring depth and framing to the audience.
• Partner with data engineering and platform teams as Workday and Greenhouse data are ingested into Databricks and additional people data sources are added over time.
• Help translate business questions into scalable analytical approaches, applying strong judgment about when advanced tooling is necessary versus when simpler solutions are more effective.
• Ensure continuity, usability, and stakeholder trust as reporting and analytics evolve during periods of technical change.
• Take ownership of defined people data domains, recurring deliverables, or initiatives, with accountability for quality and outcomes.

Requirements

• 5+ years of experience in data analytics, people analytics, or a related field.
• Proven ability to operate as a senior individual contributor, owning complex work with minimal direction.
• Strong experience partnering with business leaders and HR stakeholders to translate questions into structured, actionable analyses.
• Sound analytical judgment and comfort navigating ambiguity and competing priorities.
• Strong Excel skills; experience with BI and visualization tools such as Power BI or Tableau.
• Familiarity working with modern data platforms or warehouses (e.g., Databricks or similar), particularly in partnership with data engineering or platform teams.
• Clear, confident communicator able to synthesize data into insights and recommendations.
• Bachelor’s degree in a quantitative, business, or related field.

Nice to Have

• Experience with advanced statistical analysis or machine learning techniques.
• Knowledge of HR systems and their integration with data analytics.
• Experience in the financial services industry.

What We Offer

• A performance-based bonus structure unmatched anywhere in the industry.
• 25 paid vacation days in your first year, increasing to 30 from your second year onwards.
• Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.
• Extensive office perks, including breakfast, lunch, and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.
• Competitive relocation packages and visa sponsorship where necessary for expats.