People Analytics Partner

JR United Kingdom; London; Hybrid; GBP 35,000 - 55,000; Full time

Job summary

A leading company in the insurance sector is seeking an HR Data Analyst to provide actionable insights from people-related data. The role involves analyzing HR metrics, developing predictive models, and collaborating with various teams to enhance decision-making. Ideal candidates will have a strong background in data analysis and a relevant degree, with a commitment to fostering an inclusive workplace.

Qualifications

• Proven experience as an HR Data Analyst or similar role.
• Strong proficiency in data analysis tools and techniques.
• Excellent communication and presentation skills.

Responsibilities

• Proactively analyse HR data to identify trends and opportunities.
• Develop predictive models for HR challenges.
• Design and maintain HR dashboards for key metrics.

Skills

Data analysis

Statistical analysis

Communication

Problem-solving

Attention to detail

Education

Bachelor's degree in Human Resources

Bachelor's degree in Business Analytics

Bachelor's degree in Statistics

Bachelor's degree in Data Science

Tools

Microsoft Excel

SQL

Tableau

Power BI

Salesforce

Sage

R

Python

Job description

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Since its inception, Aventum Group has sought a different approach to insurance. We are on a mission to be the ‘most inspiring specialty (re)insurance group in the world’.

At the heart of Aventum are our people. Working together in dynamic, service-focused teams, we prioritise our customers in everything we do. Collaboration fuels our success, courage drives our innovation and continuous improvement keeps us ahead in a rapidly evolving industry. Our shared commitment is to revolutionise insurance for the better, one day at a time.

We also believe that investing in our people is investing in our future. By empowering people across the Group to develop their careers, advance within the Group, and embrace new challenges, we build an environment where growth and learning never stop.

Our competitive benefits package, offered via a flexible benefits platform, reflects this. Beyond core benefits, employees have the freedom to tailor their benefits to meet their individual needs, supporting their unique goals and ambitions.

Role Summary

Creating connections between people-related data and critical business metrics, providing actionable insights that guide strategic decision-making and operational plans.

Role Accountabilities

• Proactively analyse HR data to identify potential issues, trends, and opportunities for improvement in areas such as employee turnover, engagement, performance, and recruitment.
• Develop and implement predictive models and analytical frameworks to forecast HR challenges and support proactive decision-making, creating data-driven HR strategies and initiatives that align with organisational goals..
• Conduct in-depth analysis of HR data using statistical techniques and data analysis tools to understand root causes of HR issues and provide actionable insights.
• Design, develop, and maintain interactive HR dashboards and reports that provide clear and concise visualisations of key HR metrics and trends for HR leadership.
• Collaborate with People Partners, other HR functions and the business to understand data needs and provide analytical support for strategic initiatives.
• Present data findings and recommendations to HR leaders in a clear and compelling manner, translating complex data into easily understandable insights.
• Ensure the accuracy, integrity, and security of HR data, adhering to data privacy regulations.
• Stay updated with the latest trends and best practices in HR analytics and data science.
• Oversee and report on Great Place to Work Accreditation and any other external surveys conducted
• Support ad-hoc data analysis requests and projects as needed.

Role Requirements

• Proven experience as an HR Data Analyst, People Analytics Analyst, Workforce Analyst, or similar role.
• Strong proficiency in data analysis tools, including advanced skills in Microsoft Excel (e.g., PivotTables, VLOOKUP, macros).
• Experience with SQL for data querying and manipulation.
• Experience with data visualisation tools such as Tableau or Power BI.
• Solid understanding of statistical analysis techniques and their application to HR data.
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences.
• Strong analytical and problem-solving abilities.
• Good understanding of HR processes, metrics, and KPIs.
• Ability to work independently and as part of a team.
• Strong attention to detail and commitment to data accuracy.

Desired qualifications

• Bachelor's degree in Human Resources, Business Analytics, Statistics, Data Science, or a related field.
• Experience with HRIS systems ideally Salesforce and Sage.
• Familiarity with statistical programming languages such as R or Python.
• Experience in developing and implementing predictive HR models.
• Knowledge of data privacy regulations (e.g., GDPR)

Management Duties

• No

We are an equal opportunity employer, and we are proud to share that 93% of our employees say they can be themselves at work. We aim to hire our industry's finest people because the best people drive the best outcomes. And we forever challenge the status quo because we know there are always ways to improve things. Because together, we're limitless.

We value applicants from all backgrounds and foster a culture of inclusivity. We understand the need for flexibility, so work in a hybrid model. Please let us know if you require any reasonable adjustments during the recruitment process.

FCA Conduct Rules

Under the Senior Managers and Certification Regime the FCA and Aventum expect that:

• You must act with integrity.
• You must act with due skill, care and diligence.
• You must be open and cooperative with the FCA, the PRA and other regulators.
• You must pay due regard to the interests of customers and treat them fairly.
• You must observe proper standards of market conduct.
• You must act to deliver good outcomes for retail customers.