People Data Analyst

🕒 October 6

🌐 Finland, Germany, +3 more countries – Remote

🇫🇮 Finland – Remote 🇩🇪 Germany – Remote 🇳🇱 Netherlands – Remote 🇪🇸 Spain – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 30%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Enfuce

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Enfuce is a leading provider of secure, scalable, and compliant card issuing and payment processing solutions. Their cloud-based platform offers cutting-edge features such as advanced spend controls, digital wallets, fraud and dispute management, and 3D secure authentication with an exceptional uptime. Enfuce supports multi-currency and multi-country programs, making it easy for businesses to scale globally. As principal members of Visa and Mastercard, they ensure seamless and fast deployment of card services. Enfuce works with various industries, providing tailored solutions for banking, fintech, alternative lending, and more. Their commitment to innovation and customer-centric approach has made them a preferred partner for digital banking solutions.

📋 Description

• Build a clean, reliable people-data foundation and own data quality across systems • Move people reporting to ThoughtSpot with the central Data & AI team • Analyze where the company loses time, what causes friction, and what drives engagement and retention • Turn findings into actionable ideas and insights for leaders • Connect people data with Finance for sharper headcount planning and forecasting • Integrate people indicators with business objectives • Define success measures before initiatives are built and evaluate outcomes afterward • Work with the People Product Lead on agents, automations, and AI-powered people products • Build the data layer supporting AI-powered people products and measure their value • Collaborate day to day with the People Team and with the central Data & AI team on platform, standards, and development

🎯 Requirements

• 3+ years of experience as a Data Analyst • Experience taking messy raw data through to a clear insight and recommendation • Experience embedded in a business function is advantageous • Strong SQL skills • Experience with modern cloud data platforms such as Snowflake, BigQuery, or Databricks • Comfort working with large datasets and understanding data movement from source systems into analytical models • Hands-on experience with dbt or similar analytics engineering practices • Ability to build maintainable transformation pipelines, structure models, test and document data, and manage dataset dependencies • Comfort with Git-based development workflows, including version control, branches, pull or merge requests, code review, and collaborative development • Strong experience with modern BI and analytics platforms such as ThoughtSpot, Looker, or Omni • Experience building dashboards and analytical experiences • Understanding of how BI layers connect to underlying data models and sources • Experience working with sensitive data and analytics access controls • Understanding and practical application of role-based access, row-level security, column-level security, data masking, and least-privilege access

🏖️ Benefits

• High autonomy and ownership • Flexible, remote work • Work from anywhere up to 30 days • Supportive culture • Comprehensive benefits package • Employee stock option program • Salaries reassessed regularly • Flexible paid time off, providing up to 5 weeks of annual vacation days • Paid family leave, subject to country regulations • Hybrid or remote work options • Team activity budget for three quarters a year • Company-wide event in the fourth quarter • Depending on location: healthcare, pension, phone support, lunch, wellbeing and insurance benefits

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