HR Data Analyst

Burnley
2 days ago
Create job alert

About Safran Nacelles Ltd
Safran Nacelles is a worldwide leader in aircraft engine nacelles. Our products and services equip all aircraft types; regional, business, short, medium and long range commercial aircraft. Our expertise covers nacelle design, manufacturing, integration, maintenance and services. We were voted the 28rd best worldwide employer in 2022 by Forbes. Our site in Burnley provides employment to almost 700 people and we are proud to be one of the largest private sector employer in Burnley.

Our Four People Fundamentals underpin life at Safran, and our culture is built on the following principles;

*Promoting diversity and inclusion
*Developing skills and building opportunities
*Creating a trustworthy work place
*Promoting collaboration and mutual support

Why not visit our website for more information on careers at Safran
Careers At a glance | Safran ((url removed))

What will I be doing?

  • Maintain and develop HR systems to ensure clean, consistent, and up-to-date people data.

  • Produce and evolve management information reports and dashboards that enable the business to make timely, evidence-based decisions.

  • Lead the technical delivery of new HR systems and system enhancements, working closely with internal stakeholders and group functions.

  • Champion the use of people systems across the business by providing user guidance, training, and ongoing support.

  • Manage and document key processes across the employee lifecycle, identifying opportunities to streamline and automate where possible.

  • Produce the company's monthly business scorecard, ensuring timely delivery and insightful narrative commentary.

  • Own the data input and reporting elements of critical people processes, including pay reviews and headcount management.

  • Develop and introduce new reporting tools and approaches to measure workforce trends, track KPIs, and demonstrate progress against the HR strategy.

  • Collaborate with colleagues across the HR team and wider organisation to ensure reporting supports strategic and operational needs.

  • Work with auditors to maintain high standards of data governance, privacy, and compliance.

  • Provide flexible support across the wider HR team, including stepping in to ensure the continuity of critical people processes during periods of absence or high demand, including payroll processes.

    Exceptional Company Benefits
  • Competitive salary
  • 37 hour working week over 4.5 days with a 1pm finish on Friday
  • Flexi-time scheme that allows you to take two half days or one full day off per month
  • 33 days annual leave [inclusive of bank holidays]
  • Option to purchase an additional 5 days of annual leave
  • 10% employer pension contribution
  • 5% employee contribution with the option to increase this voluntarily through tax efficient salary exchange
  • 4 x life insurance benefit as a member of the pension scheme
  • Non-contributory BUPA private medical insurance plan
  • Group income protection scheme paying 50% of your salary in the event that you are too ill to work
  • Support for your continuous professional development and career development
  • Enhanced sickness, maternity, adoption and paternity leave
  • Excellent on-site catering facilities offering subsidised hot and cold breakfast and lunch
  • Option to purchase Safran shares with additional free shares from the Company
  • Corporate membership at Crow Wood Hotel & Spa to use the fitness suite, classes, pool and sauna, offering 54% discount as a gold member
  • Wellbeing support through our employee assistance programme offering mental health support through a confidential 24/7 helpline, access to remote GP appointments, medical second opinions and physiotherapy
  • Cycles to work scheme
  • Discounts on your high street purchases through our benefits platform
  • Long Service awards providing you with a monetary award and additional annual leave
  • Relaxed dress code on Fridays
  • Support for flexible working
  • Safran referral scheme - refer someone for a job and you may qualify for a £1,000 reward
  • Hybrid working option
  • Electric car charging points on site
  • Enter a draw to win a Burnley Football Club hospitality match day experience
  • Line manager leadership conference every 6 months
  • Fully funded quarterly site team-building events

    What do you need from me?
    Knowledge
  • Experience in a similar HR reporting or data-focused role.
  • Strong understanding of data privacy, confidentiality, and GDPR compliance.
  • Experience working with large datasets and integrating data from multiple sources.

    Desirable
  • Familiarity with HR processes and the employee lifecycle
  • Experience using HRIS and/or payroll systems (e.g., SuccessFactors, Workday, SAP).
  • Understanding of strategic HR metrics such as turnover, engagement, and workforce planning
  • Knowledge of HR data structures, metrics, and reporting principles.

    Skills & Qualities
    Essential
  • Advanced Excel skills including pivot tables, VLOOKUP/XLOOKUP, data cleansing, and formula creation.
  • Ability to present complex data clearly through reports and dashboards.
  • Confident use of data visualisation tools (e.g., Power BI) to produce impactful insights.
  • Strong analytical and problem-solving abilities with high attention to detail.
  • Effective communication skills with the ability to explain technical concepts to non-technical stakeholders.
  • Excellent organisational skills with the ability to manage multiple tasks and meet tight deadlines.

    Desirable
  • Experience leading or supporting HRIS implementations or system upgrades.
  • Skills in process mapping or business analysis to identify areas for improvement.
  • Familiarity with SQL or other data querying tools.
  • Experience developing automated reporting solutions or workflows using tools such as Power Automate.

    What's my next step?
    Please apply by uploading a CV, and if your experience matches what we're looking for, one of
    our recruitment team will give you a call

    Diversity & Inclusion
    We want Safran Nacelles to be a workplace where everyone feels valued, can be themselves and know they can reach their full potential.

    We embrace and celebrate our differences through various initiatives and support colleagues through a number of staff networks.

    We're committed to building a strong, diverse workforce and making Safran Nacelles an inclusive place to wo

Related Jobs

View all jobs

HR Data Analyst

Lead Data Analyst - 35962738

Senior Data Analyst - Claims

PMO/Portfolio Data Analyst

Finance Data Analyst – Financial Services – 12-month FTC

Data Analyst - Power BI biased

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.