Senior Research Analyst - Fibre Optics

London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Market Data Analyst

Entry Level Investment Analyst

Entry Level Investment Analyst

Entry Level Investment Analyst

Entry Level Investment Analyst

Entry Level Investment Analyst

Senior Research Analyst - Fibre Optics

Base Salary £70k -£80k

Negotiable for the right candidate

10% bonus

Plus benefits

Hybrid position

2 days in London

The opportunity:

This is an interesting Business Intelligence opportunity for a Senior Research Analyst to join a global commodities specialist who support major international companies, industry associations and governments make the best judgments via market outlooks, price assessments and operational analysis.

The role of Senior Analyst will involve all aspects of regional leadership for its Fibre Optic, Wire & Cable Service across the Europe, Middle East and Africa region.

We are open to talking to candidates withing the 70-100k range and can be flexible to the location of the candidate across the UK.

Day to day

In your role as Senior Analyst, day to day you will be responsible for;

Building short and long-term market outlooks on the global Fibre Optic sector and EMEA metallic cable sector.
This will be created using your own primary research networks but also working across the business to pull together intelligence developed by colleagues.
Interacting with market participants across both sectors, gaining insight from a wide variety of contacts in the supply chain, and assessing price levels for bare fibres.
Expanding the company profile and industry network through direct engagement with clients and other sectoral stakeholders
Actively promoting content in the public arena by addressing conferences, connecting with industry, media, and governmental organisations, as well as undertaking site visits.
Contributing to written reports, presentations, market-leading insights, and webinar content, across the full suite of Wire & Cable products.
Working with a global group of analysts to build an effective and capable team that enables thorough and transparent coverage of the global industry.

Who we are looking for

We'd like to speak with you if you have experience across ;

Commercially minded, with a high degree of numeracy and highly proficient at managing data, in turn drawing meaning from data and qualitative information in order to provide insight for decision makers.
A Market-facing role with the ability to comfortably speak to market participants, confidently present ideas and contribute to discussion with senior external stakeholders.
Are Capable of researching and providing analysis and insight that is positioned appropriately based on an understanding of clients' business needs and challenges.
Experience in Fibre Optics would be advantageous

The Next Steps

If this sounds like you, or you would like to find out more about this opportunity then you have three options.

Call Stephen Morris at CRG TEC to find out more. We are really open about the role and opportunity and challenges, so if you need to find out more before committing, no problem!
Contact Stephen via LinkedIn, drop him a private message and he will get back to you
If you are happy with what you have read so far, then send a copy of your CV to this advert and Stephen will give you a call to discuss further or at least get back to you if you don't quite hit the mark

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.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.