Job Description

Role Context

Working closely with colleagues in Business Psychology, Marketing and Business Development, you'll conduct end-to-end data analysis across our client projects and internal data infrastructure. You will maintain and develop our benchmark datasets, contribute to client-facing deliverables, and explore automation and predictive methods to enhance our insight capabilities.

This is a hybrid role combining technical depth with practical application and client value.

Key Requirements & Experience

Demonstrable experience in data analysis within a consulting or service-led environment Experience working with clients ranging from SMEs to large multinationals, across private and public sectors Skilled in Python for data analysis Experience with Jira for product and technical tracking Experience working in Azure/cloud environments Strong data visualisation and dashboarding skills Able to prepare and deliver client-facing reports, insight packs and strategic recommendations Comfortable conducting various types of analysis including impact (driver) and regression analyses

Duties and Responsibilities:

Post Assessment Analysis:

Clean, upload and recode raw client data from the Good Day at Work platform Conduct driver and regression analysis Develop visualisations and dashboards to communicate findings

Data Management:

Maintain and improve our normative dataset and benchmarks Lead annual benchmark refresh and reporting Own the development of the GDAW insight report with key trends and observations

Question Set and Scale Development:

Annual review and refinement of survey measures for validity and relevance

Assessment Build:

Collaborate with Business Psychologists to configure client surveys on the Good Day at Work platform

Product Development:

Support automation initiatives and integration of machine learning techniques Contribute to design and enhancement of client dashboards and internal tools Research and test new analytical approaches Define and develop new norm groups
Job Type: Full-time

Pay: 37,000.00-42,000.00 per year

Additional pay:

Yearly bonus
Benefits:

Work from home
Schedule:

Monday to Friday
Work Location: Hybrid remote in Manchester M2

Reference ID: RCDA1