Total Reward, People Analytics Lead

🕒 May 6

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Papaya Global

Papaya Global

501 - 1000 employees

💳 Fintech

☁️ SaaS

🤝 B2B

💰 $250M Series D on 2021-09

Fintech • SaaS • B2B

Papaya Global is a leading PayTech company specializing in cross-border payroll and payment solutions. The company offers a comprehensive platform that automates global payroll, payments, and workforce management, serving businesses in over 160 countries. Papaya Global provides a range of services including contractor payments, employer of record (EOR) solutions, and real-time payment processing, leveraging technology to enhance payment accuracy, transparency, and regulatory compliance. It integrates with various platforms through APIs and offers advanced data analytics, fraud prevention, and data security to support global enterprises and streamline payment operations.

📋 Description

• Manage and evolve the company’s Total Reward practices, including compensation, benefits, and job architecture • Manage all aspects of compensation and benefits, ensuring consistency, fairness, market relevance, and business alignment • Own the end-to-end execution of reward processes, including merit cycles, bonus programs, and ongoing compensation and benefits • Lead the detailed planning and execution of reward programs, ensuring accuracy, consistency, and high-quality delivery • Implement compensation structures aligned with business goals and organizational growth • Build and maintain job architecture frameworks, including roles, levels, and compensation bands • Ensure strong alignment between performance, workforce planning, talent decisions, and compensation outcomes • Partner with HRBPs and leadership to support compensation decisions • Work closely with Finance to ensure budget alignment and cost discipline • Build and develop People Analytics as a core capability across all HR domains • Serve as the central owner of people data within HR, working hands-on to analyze trends, identify gaps, and surface actionable insights • Ensure data accuracy, consistency, and reliability across HR systems • Design and implement practical tools, HRIS solutions, and automations that improve how managers and HR operate and enable employees to effectively manage their people journey • Manage and continuously improve HR systems and their functionalities, ensuring they are effective, reliable, and support how HR and the business operate • Drive the use of AI and advanced technologies to build internal tools that improve efficiency, scalability, and data visibility across the HR function

🎯 Requirements

• 6–10 years of experience in Total Reward, Compensation, or People Analytics in a global, fast-paced environment • Familiarity with compensation frameworks and experience with managing reward processes • Experience working closely with Finance and senior stakeholders • Strong analytical skills with the ability to translate data into clear, actionable insights • Experience building or working with job architecture frameworks • Detail-oriented with a strong ability to manage complex processes with accuracy and consistency • Strong interpersonal and communication skills • Experience working with HR systems across multiple domains • Strong ability to build and present a clear and compelling narrative based on data and insights • Ability to influence without direct authority, make and communicate difficult decisions, and maintain strong working relationships • Hands-on, proactive, and solution-oriented approach • Data-driven mindset with strong attention to accuracy and detail • Tech-savvy, with experience working with HR systems and data tools

🏖️ Benefits

• Flexible work arrangements

Apply Now

Similar Jobs

🕒 May 6

M9 Solutions

51 - 200

🔒 Cybersecurity

🏛️ Government

Data Scientist III working remotely supporting a government client in Washington, DC. Requires active Secret clearance and extensive experience in data science and machine learning.

🕒 May 6

M9 Solutions

51 - 200

🔒 Cybersecurity

🏛️ Government

Data Scientist II supporting government contracts in the field of cybersecurity and data analytics. Requires active Secret clearance and experience in machine learning and data science.

🕒 May 6

Pearmill

11 - 50

🤝 B2B

🛍️ eCommerce

Analytics Lead managing comprehensive tracking and measurement architecture for marketing analytics agency. Collaborating across teams to deliver data-driven insights and actionable strategies.

🕒 May 5

Hotel Engine

201 - 500

🛍️ eCommerce

🚗 Transport

Manager of Data Science leading a high-performing team to execute AI projects for Engine's travel platform. Balancing mentorship and project management in delivering scalable ML solutions.

🇺🇸 United States – Remote

💵 $144.5k - $200k / year

💰 $65M Series B on 2021-12

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

🕒 May 5

Overstory

11 - 50

🤖 Artificial Intelligence

⚡ Energy

☁️ SaaS

Applied Analytics Lead utilizing analytics to enable utilities to address climate impacts effectively. Joining Overstory’s mission-driven team focused on making the power sector more resilient.