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

Apply Now

Corporate Subscriptions Account Manager - leading business intelligence tool (retail industry)

Media IQ Recruitment Ltd
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Subscriptions Account Director - leading business intelligence platform (retail sector)

Audit Data Analytics Manager

Audit Data Analytics Manager

Data Analyst

MetaData Analyst

Data Quality Analyst

Corporate Subscriptions Account Manager - leading business intelligence tool (retail industry)

The Company is an award-winning, fast-growing content, subscription, and networking business with market-leading brands that reach multiple touchpoints across events, online, and offline platforms.

They have a leading business intelligence platform that provides large retailers with invaluable analysis, insights, trends, tender information, relevant contacts, and more. This platform enables retailers to make informed decisions about their business.

The Role of Corporate Subscriptions Account Manager involves spending 70% of time upselling and renewing existing accounts and 30% generating new business. The successful candidate will sell corporate subscriptions to retailers and introduce a new membership-based product, allowing clients to access the subscription service, attend industry events, and benefit from other incentives.

The ideal candidate will have a consultative approach to selling, be outgoing and lively, confident, self-assured, and intelligent, with a stable career path and a strong track record in sales.

  • Consultative approach to selling
  • Outgoing and lively
  • Confident, self-assured, and intelligent
  • Stable career path
  • Strong track record in sales

We offer a basic salary of £35k plus uncapped commission, high earning potential, strong training and development, and opportunities for career growth.


#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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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.