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Senior Data Analyst And System Lead

Reed Talent Solutions

Bedford

Hybrid

GBP 62,000

Full time

Today
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Job summary

A leading HR solutions provider in the UK is looking for a Senior Data Analyst and System Lead to drive analytics initiatives and ensure high-quality HR data systems. The role includes responsibilities such as leading analytics projects, collaborating with cross-functional teams, and developing strategic insights. Candidates should have proven data analysis experience, knowledge of HR data systems, and the ability to foster improvement within teams. This position offers a hybrid working arrangement with a salary around £62,000 per annum.

Qualifications

  • Proven experience in data analysis, modelling, and interpretation within HR or a similar environment.
  • In-depth knowledge of HR data systems including configuration, integration, and security administration.
  • Ability to lead analytics projects and deliver high-quality outputs in a fast-paced environment.

Responsibilities

  • Lead analytics workstreams from requirements gathering to implementation.
  • Act as the subject matter expert for HR systems.
  • Apply analytical tools to deliver strategic business insights.
  • Develop measurement frameworks including KPIs.
  • Manage, clean, and aggregate data.
  • Collaborate with various departments to translate analytical requirements.
  • Provide leadership to junior analysts.

Skills

Data analysis
Modelling
Interpretation
Excel
Power BI

Tools

HiBob
Job description
Senior Data Analyst and System Lead

Salary: c.£62,000 per annum | Location: Bedford | Employment type: Permanent | Working arrangement: Hybrid

Do you want to be part of our People & Culture team, as Senior Data Analyst and System Lead? You would be responsible for the development and delivery of advanced people analytics and HR data systems, providing actionable insight to inform strategic and operational decisions across MaPS.

Role Overview

Working closely with HR, Finance, Technology, and business leaders, the Senior Data Analyst and System Lead ensures the integrity, accuracy, and security of workforce data, enabling MaPS to deliver on its commitment to evidence-based decision-making and continuous improvement. The role champions digital transformation within HR, supports the implementation of key reward and workforce initiatives, and helps ensure that MaPS remains agile and responsive to the evolving needs of its people and stakeholders.

Key Responsibilities
  • Lead analytics workstreams from requirements gathering to implementation and testing, ensuring outputs meet business needs and align with DDaT standards.
  • Act as the subject matter expert for HR systems, leading on configuration, integration, and optimisation to support digital transformation and agile HR practices.
  • Apply a wide range of analytical tools and techniques to deliver actionable strategic business insights, including scenario modelling and pay and benefit modelling.
  • Develop and implement measurement frameworks, including KPIs, and ensure the accuracy, quality, and security of HR data.
  • Manage, clean, abstract, and aggregate data, supporting data governance and quality assurance policies.
  • Collaborate with HR, Finance, Technology, and business leaders to translate analytical requirements into actionable strategic and operational insights, and communicate findings clearly to technical and non-technical audiences.
  • Provide leadership, support, and guidance to junior analysts, fostering a culture of continuous improvement and professional development.
You will need to demonstrate the following skills and experience:
Essential
  • Proven experience in data analysis, modelling, and interpretation within HR or a similar environment, using tools such as Excel and Power BI.
  • In-depth knowledge of HR data systems (ideally HiBob), including configuration, integration, and security administration.
  • Demonstrated ability to lead analytics projects and deliver high-quality outputs in a fast-paced, agile environment.
  • Strong understanding of data quality assurance, validation, and governance policies.
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