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

Apply Now

BI and Data Analyst - GB

Crane & Co.
Gateshead
1 week ago
Create job alert
Overview

As a partner to businesses and governments, Crane Authentication offers expertise and cutting-edge innovations that protect and enhance products, secure identities, safeguard revenues and enforce compliance. Customers from different business sectors and levels of government trust our team of 1,250 people for their expertise in R&D, security design, engineering and data-driven insights. We are an integral part of Crane NXT, a $2 billion dollar business with over 5,000 associates.

Position Summary & Objective

The BI & Data Analyst is responsible for collecting, analyzing, and presenting data to support decision-making across the organization. This role develops and maintains reporting solutions, dashboards, and KPIs, ensuring data accuracy, consistency and is compliant with data governance principles. The Analyst works closely with internal/external stakeholders to understand requirements and deliver actionable insights, helping the organization monitor performance and identify opportunities for improvement.

Responsibilities
  • Design, develop, and maintain regular reports and dashboards to support functions across the organization (creating prototypes where practicable)
  • Gather and document reporting requirements from business stakeholders; proactively challenge data owners/data users as appropriate and support them during testing
  • Ensure data accuracy, integrity, and consistency across solutions developed within the team
  • Perform data analysis to identify trends, risks, and opportunities
  • Automate all regular reporting deliverables, minimizing manual interventions and improving both quality and team efficiency
  • Support data governance principles and quality improvement initiatives (sharing data quality reporting concerns with data owners as necessary)
  • Work towards the introduction of risk-based data quality metric reporting
  • Conduct ad-hoc analysis to answer specific business questions
  • Build strong relationships with key stakeholders, providing training and support to end-users on BI and reporting tools
  • Prepare data presentations for management and senior leadership
  • Mentor junior team members as required
  • Work with colleagues to improve data pipelines and system integrations
Disclaimer

This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice.

Position Qualifications

Education

  • Educated to degree level with 5+ years’ work experience

Experience

  • 2–4 years of experience in MI, data analysis, or BI reporting
  • Proficiency with BI tools such as Power BI, Tableau, or Qlik, preferably Power BI
  • Strong SQL skills with an ability to query and transform data
  • Experience with Excel (advanced functions, pivot tables, macros)
  • Delivery and improvement of data, management information and business intelligence reporting
  • Exposure to data warehouses, ETL processes, or cloud data platforms a plus
  • Exposure to data governance principles and techniques to protect the use of data delivered by the team

Certifications/Licenses

  • None required.
  • Advantageous: Data Analysis / Power BI accreditations or equivalent

Knowledge, Skills, and Abilities

  • Strong analytical and quantitative skills
  • Problem solver with an ability to translate data into clear, actionable insights
  • Collaborator with excellent communication and presentation skills
  • Focused with a high attention to detail and data accuracy
  • Supportive, reliable, productive, dependable and diligent
  • Adaptable, flexible and resilient with an ability to manage multiple reporting requests and deadlines
  • Familiarity with data governance and compliance best practices
Working Hours and Conditions
  • Office and Remote Work Environment
  • Collaboration across business functions and time zones
What’s in It for You?
  • Work for a market leading, established product company.
  • Nice modern offices with great facilities.
  • Health Insurance.
  • Life Insurance.

Crane Authentication is part of Crane NXT

Crane NXT is a premier industrial technology company that provides proprietary and trusted technology solutions to secure, detect, and authenticate what matters most to its customers. Crane NXT has approximately 5,000 employees with global operations and manufacturing facilities in the United States, the United Kingdom, Mexico, Japan, Switzerland, Germany, Sweden, and Malta. For more information, visit www.cranenxt.com.

We value diversity at our company. Everyone who applies with the qualifications will receive consideration for employment without regard to: age, colour, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law.

We receive a high number of applications, so apologies if we are unable to provide specific feedback. If we feel you are a fit for the role, we’ll be in contact.


#J-18808-Ljbffr

Related Jobs

View all jobs

Sourcing and Data Analyst

Data Analyst Apprenticeship - Level 4 - London

Data Analyst Apprenticeship - Level 4 - Salford

Data Analyst

Technology SQL Data Analyst & Reporting Developer- London, England. (Full-Time).

1st Team Data Analyst

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 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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.