Global Reward & People Analytics Analyst

Watson-Marlow Fluid Technology Solutions; Cheltenham; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Flexible working arrangements

Additional support and benefits through Inclusion Plan

Gender-neutral parental leave

15 days of extra paid caregiver leave

Paid time off for pregnancy loss or domestic abuse

Menopause-friendly workplace principles

Job summary

An industrial engineering group in the UK is seeking a Reward & People Analytics Analyst. The role involves supporting annual reward cycles, maintaining pay ranges, and providing analytical support. Candidates should have experience in HR analytics and managing large datasets. This full-time position offers a hybrid working model with diverse responsibilities aimed at enhancing reward processes. Join a team committed to creating an inclusive workplace culture where everyone can thrive.

Qualifications

• Preferred experience in reward, HR analytics, or a similar analytical role.
• Proven ability to manage and analyse large datasets, ensuring data quality.
• Familiarity with job evaluation, grading frameworks, and market benchmarking tools is advantageous.

Responsibilities

• Support annual reward cycles, including performance-related pay reviews.
• Provide analytical support for global grading and pay range reviews.
• Maintain and update records for global grading and pay ranges.
• Administer processes such as Gender Pay Gap and Ethnicity Pay Gap.
• Act as a contact for reward data queries from HR and employees.
• Collect, validate, and analyse reward data for accuracy.

Skills

Experience in reward, HR analytics, or a similar analytical role

Ability to manage and analyse large datasets

Familiarity with job evaluation and grading frameworks

Experience developing manual or semi-automated data solutions

Job description

An industrial engineering group in the UK is seeking a Reward & People Analytics Analyst. The role involves supporting annual reward cycles, maintaining pay ranges, and providing analytical support. Candidates should have experience in HR analytics and managing large datasets. This full-time position offers a hybrid working model with diverse responsibilities aimed at enhancing reward processes. Join a team committed to creating an inclusive workplace culture where everyone can thrive.