Communications Data Coordinator

Bespoke Careers
London
1 year ago
Applications closed

Related Jobs

View all jobs

Asset Data Analyst

Asset Data Analyst

Data Analyst Rail

Environmental Data Analyst

Data Analyst

Project Manager - Data Analyst - SC Cleared - Hybrid

This global architecture studio has designed some of the UK and the worlds most iconic buildings. They are located in the heart of the design and creative hub that is Clerkenwell and offer flexible/hybrid working and the chance to work amongst some of the best talent.


This is a newly created role to fill a business critical gap in their marketing and communications team that will see you working across a number of departments including media and press, business development and the project teams. You will have a confident nature and you will have the opportunity to work with people of all level across the business.


This role would suit someone with an interest and experience in data management and collation, as well as knowledge of CRM systems. An interest in architecture and design would go a long way too.


Hybrid and flexible working on offer.


Key Responsibilities

  • Collate project data and share milestones
  • Manage website performance issues
  • Liaise between website/tech teams
  • Upload press content to CMS
  • Research market stats for marketing materials
  • Help update the company landing page.

Skills and Experience

  • Experience within data collection, management and administration
  • Highly organised, self-motivated and proactive
  • Excellent interpersonal skills and able to build working relationships with people at all levels
  • Excellent communicator and skilled at presenting complex information with clarity
  • An interest in architecture and the built environment
  • Knowledge of CMS and a good user of Excel

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.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

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

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

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.