National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

HR Data Analyst...

Tradition
London
2 days ago
Create job alert

Job Description Tradition is the interdealer broking
arm of Compagnie Financière Tradition and one of the world's
largest interdealer brokers in over-the-counter financial and
commodity related products. CFT is represented in over 28
countries, employing over 2,500 people. Tradition’s goal is to
provide superior client services. It believes its business success
is a direct reflection of its employees and recruits. As such,
teamwork, creativity, reliability and integrity are components of a
work ethic taken very seriously since the company was founded in
1959. Tradition is currently seeking to appoint a HR Data Analyst
to be based within the London office. Main responsibilities within
the HR Data Analyst position include: - Analyse HR data from
various systems (e.g. HRIS, payroll systems). - Develop, maintain,
and improve HR dashboards and reports (e.g., Power BI, Tableau). -
Identify trends and provide actionable insights on employee
turnover, hiring, performance, and compensation. - Track, analyse
and report on key HR metrics. - Ensure data accuracy and integrity
across HR databases. - Work with HR System Analyst to troubleshoot
data discrepancies. - Maintain confidentiality and comply with data
privacy regulations (e.g. GDPR). - Assist in workforce planning by
providing headcount analysis, forecasting, and scenario modelling.

  • Update and Maintain relevant HR Frameworks/Manuals. - Present Key
    findings to senior management. Key skills, experience and
    competencies required to be successful in this role: - Previous
    experience with HR systems. - Proven experience using
    reporting/analytics tools like Excel (advanced), Power BI, Tableau,
    or similar. - Strong analytical and critical thinking skills. -
    Proven experience in data visualisation. - Excellent attention to
    detail to ensure data accuracy. - Strong communication skills to
    present findings clearly to a range of stakeholders. - Ability to
    manage multiple projects and meet deadlines. Tradition do not
    accept agency CV’s. Please do not forward CV’s to our employees or
    Talent team. Tradition are not accountable for any fees related to
    unsolicited resumes. The Talent team will reach out to trusted
    agents when required. Please note, due to the large volume of
    applications for this position, only suitable candidates will be
    contacted. If you have not heard from us within 14 days,
    unfortunately, your application has been unsuccessful. Tradition
    welcome all suitable applications and are an equal opportunity
    employer who value diversity. All employment is decided on the
    basis of qualifications and merit. By applying for this role, you
    agree that we may retain your details on our system for a period of
    6 months and may contact you for any future vacancies that may
    arise within the Tradition Group.

Related Jobs

View all jobs

HR Data Analyst

HR Data Analyst...

Data Analyst

Data Analyst

HR Advisor

Data Analyst (HR Function) / Power BI / Excel)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.