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

Apply Now

Business Development Executive (St Albans) - leading business intelligence company

Media IQ Recruitment Ltd
St Albans
1 month ago
Applications closed

Related Jobs

View all jobs

Research Executive (Quantitative)

Executive Vice President, Data Transformation Client Lead

Alpha Enviroment and Data Strategy Manager, Vice President

Associate Director Data Engineer

Lead Data Scientist

Head of Investor Data Strategy

Business Development Executive (St Albans) - leading business intelligence company

Job Sector

BI / SaaS / Research / IT

Contract Type

Permanent

Location

St Albans

Up to £30k basic plus uncapped commission

Job Reference

Media IQ-St Albans183

Do you live near St Albans?

Do you have consultative b2b sales experience?

Like the idea of working for a global leader who provides market insight and research for the education, media and consumer electronics sectors?

Like the idea of a business development role targeting companies within the EdTech sector?

If yes, please read on...

The Company

A global research company based in St Albans (near the station) which provides leading market-insight, bespoke research and market-trackers for companies within the consumer electronics, education and media sectors (primarily). Clients include the likes of Apple, Microsoft, Google, Sky, ITV, Adobe, Netflix and many others.

The Role of Business Development Executive

As Business Development Executive you will start by undergoing intense training in order to help you to understand the benefits and value of theresearch solutions, market trackers and business intelligence you would be selling access to.

You will be focused on the EdTech sector, which is the company's most successful single market sector. Therefore you will be selling subscription solutions to tech companies globally, spanning OEM's (like Microsoft), chip manufacturers (like Intel), software companies (like Adobe) and technology distributors who sell to the global education sector. In time you will also discuss bespoke high value research projects for clients.

Once you are up and running, you will start off by spending around 80% of your time selling to new clients globally (with 20% account management), although every new client you win, you will keep, so the balance will shift more towards account management as the year progressed. You will primarily sell face to face, although providing online demos and setting up meetings via the phone will be an equally important part of the role.

Requirements for this Business Development Executive role

  • 2+ years consultative sales experience (ideally in subscriptions)
  • Professional and consultative sales experience
  • Confident, articulate and polished
  • Well spoken with a strong education
  • Determined to build a successful sales career
  • Interest in technology would be helpful
  • Client facing
  • Professional and mature demeanour

If you think that you could be the Business Development Executive our client is looking for, please apply!


#J-18808-Ljbffr

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.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.