Data Analyst Team Member

CNH INDUSTRIAL N.V.
Basildon
11 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Senior Data Analyst

Data analyst

Senior Regulatory Data Analyst — Gambling Compliance

Data Analyst

Senior Data Analyst

About the Company:CNH Industrial is a Global Company in the Capital Goods industry, that is looking for a Sales Lead to be part of the team.


About the Role:CNH is making a bold, strategic investment to improve our strategic sourcing process to drive transformation across our supply chain and consequently generate a high level of savings through improved performance. Significant cost savings opportunities that require a focused, precise approach led by our best employees. The program will help select the best suppliers that meet our requirements and result in long term strategic agreements. The program is focused on negotiating strategic agreements on the best total value.


Responsibilities:

  • You will be dedicated full-time to a cross-functional team that will work on one of the below commodities.
  • Metallic – Forgings
  • Electrical – HVAC/Cooling
  • Chemical – Tires, Tracks, Wheels and Rims
  • Mechanical – Gears, Shafts, and Hydraulic pumps and motors
  • The team will work together for a period of 20-24 months.
  • It’s also important to note that for periods during the project, there will be heavy travel including international travel

What’s in it for me?

This is a great opportunity for you to:

  • Be part of a “Category team” that is comprised of cross-functional, cross-business segment and cross regional CNH professionals.
  • Visit CNH facilities and supplier facilities globally learning CNH needs/wants/interests, supplier capabilities and best practices.
  • Represent CNHI to the global supply base.
  • Represent your functional area of the business.
  • Represent your function and Commodity expertise.
  • Provide critical input into supplier selections.
  • Enhance your skills through robust training.


As a result of this project, you will gain:

  • Differential training, experiences and supply chain knowledge.
  • Exposure to key resources across functions within the organization.
  • Broad exposure to the global CNH organization as well as executive leadership.
  • All of which will provide you with strong positioning for future opportunities.


Essential Duties and Responsibilities:

Core Team Members

  • Core team members will be dedicated to the project team for the duration of the project. Generally speaking, a core team member will work on a single project (commodity) team

Data Analyst

Data Analyst will assist the project Commodity team throughout the 7-step Strategic Sourcing Process. The skills and knowledge of the data analyst are critical to the success of the project Commodity team. These skills and activities include but are not limited to:

  • Work directly with the Commodity team to develop ideas or team requests into working solutions
  • Act as Subject Matter Experts (SMEs) for any analytical questions regarding supplier rankings & engagement, strategic sourcing process/progress metrics, RFQ pricing, and any analysis requests received from Project Managers. Examples include supplier scorecard creation, process tracking, head-to-head qualitative and quantitative reporting, competitive pricing analysis, and total value of the offer analysis
  • Accompany project Commodity team on site visits and provide expertise/analysis on supplier financials and competitiveness from a qualitative and quantitative perspective
  • Examine supplier financial metrics (i.e. inventory turnover, throughput, cost per unit)
  • Review and validate project savings baseline
  • Maintain integrity and consistency of Commodity team data and ensure program data standards are adhered to
  • Deep understanding of data, relational database concepts, and business intelligence tools
  • Strong Excel skills required

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.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.