People Data Analyst

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🔥 0 minutes ago

🌐 Germany, Finland, +3 more countries – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

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Logo of Enfuce

Enfuce

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 across systems • Own data quality and move reporting to ThoughtSpot with the central Data & AI team • Analyze time loss, friction, engagement, and retention drivers • Provide actionable insights and recommendations to leaders • Link people data with Finance for headcount planning and forecasting • Define success measures and evaluate whether initiatives delivered results • Work with the People Product Lead on agents, automations, and AI-powered people products • Build the data layer for AI-powered people products and measure their value • Collaborate day to day with the People Team and central Data & AI team • Report to the Chief People Officer

🎯 Requirements

• 3+ years of experience as a Data Analyst • Strong SQL skills • Experience with modern cloud data platforms, such as Snowflake, BigQuery, or Databricks • Comfortable 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 • Experience working with sensitive data and analytics access controls, including role-based access, row-level security, column-level security, data masking, and least-privilege access

🏖️ Benefits

• High autonomy & ownership • Flexible, remote work • Unlimited growth potential • Supportive culture • Comprehensive benefits package • Competitive salaries reassessed regularly • Employee stock option program • Flexible paid time off, 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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