Compensation Analyst Intern

About the Role

A highly analytical and problem-solving-oriented Compensation Analytics & Implementation Intern to work closely with clients and internal teams to deliver successful CompUp implementations.

• This is a hands-on role that sits at the intersection of data analytics, compensation processes, business problem-solving and SaaS implementation.
• The ideal candidate should be extremely comfortable working with large and complex datasets, identifying and resolving data-quality issues, understanding the underlying source of data, and using advanced Excel skills to validate and reconcile information before it is configured on the CompUp platform.
• Beyond data analysis, you will be expected to understand the client’s business requirements, translate them into platform requirements, identify the most effective way to achieve the desired outcome using CompUp, and coordinate with multiple internal and external stakeholders to ensure successful implementation.
• This role is ideal for someone who enjoys taking a messy business problem → understanding the data → figuring out the solution → configuring the platform → delivering the desired outcome.

Key Responsibilities

• Work closely with clients and internal teams to deliver successful CompUp implementations.
• Analyze large and complex datasets.
• Identify and resolve data-quality issues.
• Understand the underlying source of data.
• Use advanced Excel skills to validate and reconcile information.
• Understand client’s business requirements.
• Translate business requirements into platform requirements.
• Identify effective ways to achieve desired outcomes using CompUp.
• Coordinate with multiple internal and external stakeholders for successful implementation.

Requirements & Tech Stack

• Microsoft Excel (including advanced formulas, Pivot Tables, lookups, data validation, and preferably Power Query)
• Experience working with large datasets.
• Experience performing data cleansing, reconciliation, and validation.
• Ability to investigate data discrepancies back to their source/root cause.
• Ability to understand complex business requirements.
• Translate requirements into structured solutions.
• Strong logical thinking.
• Ability to break down ambiguous problems.
• Ability to work with multiple stakeholders across client and internal teams.
• Strong written and verbal communication skills.
• Ability to manage multiple implementation activities and priorities simultaneously.

Qualifications

0–4 years of experience in one or more of the following areas:

• Data Analytics
• HR Analytics / People Analytics
• Compensation & Benefits
• HRIS / HR Technology
• SaaS Implementation
• Business Analysis
• Management Consulting

What We Are Looking For

• Strong analytical ability.
• Practical business problem-solving skills.
• Strong attention to detail — particularly around data accuracy.