Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst

First Recruitment Group
Manchester
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Temp to Perm- Remote Working


Role Purpose: The main purpose of the role is for data cleansing and data reporting to match our client requirement needs. Provide contract administration support for the Asset Management team. Facilitate the weekly reports and invoicing administration to maintain and exceed contract KPI’s. Support Bid process


Main Duties and Responsibilities:

Provide Technical administration support to the Asset compliance team to deliver project outputs to time, quality and cost as directed by the Senior Integrity Consultant, Head of Assets Management and the European Project Integrity Consultants.


  • Cleansing of collectible Asset data in the Bureau Veritas Asset Calc Tool.
  • Work with the Asset Integrity Engineers to make sure data is uniformed and consistent across the full contract.
  • Maintain the Quality reports and transfer of data to various clients’ systems
  • Standardising and professionalise project workflows and build templates. Documentation management within the various live projects
  • Manage the weekly invoicing process
  • Focal point to support project planning with Integrity consultants
  • Liaise with the specified client(s) on an on-going basis to ensure service issues are escalated to the relevant senior person
  • Liaise with BV & nonexclusive staff
  • Support the maintenance of Competency and Security Clearance Records
  • Support the issuing of quotations and the receipt of client task orders
  • Monitor and validation of monthly invoicing and resolution of invoice queries.
  • Support the day-to-day inspection activities including but not limited to Travel support, Inspection Resource provision & resolving queries
  • Ownership and accountability of all duties carried out


Deliverables:

  • Manage and cleanse Live asset data
  • Support production of KPI’s
  • Maintain key contract files
  • Maintain close liaison with the specified client(s) to ensure delivery to expectation
  • Regularly provide progress updates against key targets, timescales & queries
  • Preparation of monthly accruals for work undertaken but not yet invoiced


Governance :

  • Effectiveness of data management and input.
  • Accuracy and attention to detail in all activities
  • Process improvements
  • Effectiveness of communication and customer focus
  • Code of Ethics
  • Confidentiality and information security


Leadership Competencies:

  • Setting Priorities
  • Decision-Making
  • Active Listening
  • Embracing Change
  • One Company Commitment


Individual Competencies:

  • Strong commercial acumen
  • Strong organisational skills
  • Effective communication skills
  • Ability to prioritise effectively
  • Resilience


Experience & Skills Required

  • Data Integrity
  • Experience in FM
  • Must understand FM Assets and HVAC SFG-20
  • Proficient in IT, excel and in-house systems
  • Customer service focus
  • Effective communication skills
  • Understanding of quality assurance requirements – procedures and processes


Qualifications Required:

  • Appropriate FM or Asset Management qualifications and experience required for this position.
  • Must have knowledge of HVAC-SFG20 or proven trade.
  • Must be an expert in data transfer or have a very good working knowledge of Excel

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.